Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading edge management consulting along with technology and design, corporate and digital ventures, and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change, transforming strategies into leading edge tech platforms, at scale. Practice Area BCG Platinion launched in Germany in 2000 to add deep technical expertise to the Boston Consulting Group's existing capabilities. Today, our presence spans across the globe, with offices in Asia, Europe, and South and North America. Our New York based North American team began in 2014 and in 2017 acquired MAYA Design, a Pittsburgh based digital design and innovation lab, to grow our capabilities around technology and design. We support our clients' total digital transformation through technology, design, cybersecurity, and risk management & financial engineering capabilities. Together with BCG, BCG Platinion's interdisciplinary team of technical experts enable customized technical solutions and accelerate delivery value through new business platforms, application consolidations, and major system implementations. What You'll Do We are seeking a Lead Solution Architect - SAP to lead the design, delivery, and technical roadmap of large scale ERP transformations. The ideal candidate will have deep and broad expertise across multiple SAP modules, strong integration architecture skills, and proven experience defining SAP target landscapes that align with business strategy. Key Responsibilities SAP Roadmaps: Define and own the SAP technical and solution strategy, including S/4HANA adoption and phased rollouts. Solution Architecture: Design SAP target landscapes using a lean ERP core integrated with satellite SAP solutions. Module Breadth: Lead architectural decisions spanning multiple LoBs (e.g., Manufacturing, Sales, Supply Chain, Asset Management, Finance). Integration Leadership: Architect SAP integrations using SAP BTP, Integration Suite, and middleware; oversee data migration strategies. Analytics & Data: Define SAP data architecture including master data governance, BW/4HANA, DataSphere, and SAC reporting. Quality & Standards: Ensure designs follow SAP and industry best practices, embedding performance, security, and maintainability. Client Advisory: Partner with programme leadership to align SAP solution direction with business outcomes. What You'll Bring 10+ years in SAP architecture and delivery Previous or current consulting experience a must Proven multi module solution design experience Expert in S/4HANA adoption strategies and integration architecture Experience with master data governance and analytics platform design SAP certifications in relevant architecture or module areas Ability to identify AI driven value levers within ERP transformations (e.g., predictive analytics, intelligent automation, process mining, GenAI enabled user interaction) Experience incorporating AI capabilities into business cases and transformation roadmaps History of leading solution design for multi module, large scale ERP transformations Deep knowledge across SAP LoBs: Manufacturing, Sales, Finance, Supply Chain, etc. Integration expertise: SAP BTP, Integration Suite, middleware Data architecture expertise: MDG, BW/4HANA, DataSphere, SAC reporting Proven ability to define SAP target landscape & technical roadmap Ability to advise senior business stakeholders on architecture strategy Strong governance and quality assurance orientation Skilled at translating technical design into business outcomes Ability to work under pressure and willingness to travel to clients worldwide A university degree in a STEM related field or business management; advanced degrees (MBA, MSc) are advantageous Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E Verify Employer. Click here for more information on E Verify.
22/05/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading edge management consulting along with technology and design, corporate and digital ventures, and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change, transforming strategies into leading edge tech platforms, at scale. Practice Area BCG Platinion launched in Germany in 2000 to add deep technical expertise to the Boston Consulting Group's existing capabilities. Today, our presence spans across the globe, with offices in Asia, Europe, and South and North America. Our New York based North American team began in 2014 and in 2017 acquired MAYA Design, a Pittsburgh based digital design and innovation lab, to grow our capabilities around technology and design. We support our clients' total digital transformation through technology, design, cybersecurity, and risk management & financial engineering capabilities. Together with BCG, BCG Platinion's interdisciplinary team of technical experts enable customized technical solutions and accelerate delivery value through new business platforms, application consolidations, and major system implementations. What You'll Do We are seeking a Lead Solution Architect - SAP to lead the design, delivery, and technical roadmap of large scale ERP transformations. The ideal candidate will have deep and broad expertise across multiple SAP modules, strong integration architecture skills, and proven experience defining SAP target landscapes that align with business strategy. Key Responsibilities SAP Roadmaps: Define and own the SAP technical and solution strategy, including S/4HANA adoption and phased rollouts. Solution Architecture: Design SAP target landscapes using a lean ERP core integrated with satellite SAP solutions. Module Breadth: Lead architectural decisions spanning multiple LoBs (e.g., Manufacturing, Sales, Supply Chain, Asset Management, Finance). Integration Leadership: Architect SAP integrations using SAP BTP, Integration Suite, and middleware; oversee data migration strategies. Analytics & Data: Define SAP data architecture including master data governance, BW/4HANA, DataSphere, and SAC reporting. Quality & Standards: Ensure designs follow SAP and industry best practices, embedding performance, security, and maintainability. Client Advisory: Partner with programme leadership to align SAP solution direction with business outcomes. What You'll Bring 10+ years in SAP architecture and delivery Previous or current consulting experience a must Proven multi module solution design experience Expert in S/4HANA adoption strategies and integration architecture Experience with master data governance and analytics platform design SAP certifications in relevant architecture or module areas Ability to identify AI driven value levers within ERP transformations (e.g., predictive analytics, intelligent automation, process mining, GenAI enabled user interaction) Experience incorporating AI capabilities into business cases and transformation roadmaps History of leading solution design for multi module, large scale ERP transformations Deep knowledge across SAP LoBs: Manufacturing, Sales, Finance, Supply Chain, etc. Integration expertise: SAP BTP, Integration Suite, middleware Data architecture expertise: MDG, BW/4HANA, DataSphere, SAC reporting Proven ability to define SAP target landscape & technical roadmap Ability to advise senior business stakeholders on architecture strategy Strong governance and quality assurance orientation Skilled at translating technical design into business outcomes Ability to work under pressure and willingness to travel to clients worldwide A university degree in a STEM related field or business management; advanced degrees (MBA, MSc) are advantageous Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E Verify Employer. Click here for more information on E Verify.
About Unity Advisory Unity Advisory is a new-generation professional services firm built for an AI-enabled world. We operate a lean, conflict-free, and client-centric model that integrates advanced technology and AI into every workstream. With no audit practice, we are free from traditional conflicts and legacy silos. This allows us to move faster, collaborate openly, and focus entirely on creating value for clients. Our flat structure and collaborative culture empower exceptional people to deliver exceptional work. We combine deep advisory expertise with cutting-edge data, AI, and commercial insight to help clients navigate complex challenges faster, smarter, and with greater clarity. At Unity, we are redefining how expert advisory is delivered-one innovative engagement at a time. The Role We are looking for a highly capable, commercially minded Solution Architect to join Unity Advisory, operating across both client-facing engagements and internal platform initiatives to design and deliver scalable, AI-enabled, and data-driven solutions. This is a senior, hands-on architecture role responsible for translating complex business requirements into end-to-end solution designs spanning enterprise systems, data platforms, AI capabilities, integrations, and workflows. A key focus of this role is shaping architectures that integrate modern cloud platforms, enterprise applications (ERP/EPM/CRM), and emerging GenAI capabilities, ensuring solutions are practical, secure, cost-effective, and aligned to measurable business outcomes. This role sits at the intersection of enterprise architecture, data and AI systems, and business transformation, with a clear opportunity to influence solution standards, support proposition development, and shape how Unity delivers technology-enabled advisory at scale. What You'll Do Unity operates in a fast-paced, high-trust environment. You will lead the design of solutions that connect business strategy with robust, scalable technology delivery. End-to-End Solution Architecture Lead the design of end-to-end solution architectures across client engagements and internal initiatives, covering applications, data, integrations, workflows, and AI components. Translate business requirements into clear architectural designs, including process flows, system interactions, data models, and non-functional requirements. Define and evaluate architecture options, recommending solutions based on value, scalability, cost, security, and delivery feasibility. Ensure solutions are pragmatic and implementable, balancing strategic design with real-world constraints. Enterprise Platforms, Data & AI Integration Design solutions integrating enterprise platforms such as ERP, EPM, CRM, workflow, and reporting systems. Architect data flows and integration patterns across cloud platforms (Azure, AWS, GCP) and enterprise environments. Incorporate AI and automation capabilities, including: AI-enabled workflows and copilots Data-driven decision systems Automation and intelligent process orchestration Align solution design with modern data platforms and AI architectures, ensuring interoperability and scalability. Architecture Standards, Governance & Quality Ensure all solutions meet standards for security, resilience, performance, maintainability, and governance. Define and apply architecture principles, design patterns, and reference models. Support architecture governance and assurance, ensuring consistency across engagements. Embed best practices in integration design, data handling, and system interoperability. Delivery Leadership & Execution Support Provide architectural leadership throughout delivery, supporting teams in resolving design challenges, dependencies, and trade-offs. Work closely with engineers, data specialists, product leads, and client stakeholders to ensure solutions are well understood and effectively implemented. Adapt architectures as requirements evolve, maintaining alignment with business outcomes. Contribute to delivery planning, estimation, and technical risk management. Pre-Sales & Proposition Development Support pre-sales activities by shaping solution designs, architecture narratives, and demonstrations. Contribute to business cases, statements of work, and commercial proposals. Help articulate the value of technology solutions to both technical and non-technical stakeholders. Strengthen Unity's propositions through reusable assets and architecture-led thinking. Capability Building & Innovation Develop reusable architecture patterns, templates, accelerators, and reference architectures. Stay current with emerging technologies across AI, data, automation, and cloud, identifying opportunities to create client value. Contribute to the evolution of Unity's AI- and data-enabled delivery model. Support and mentor team members, helping to build architectural capability across the firm. What You Bring Solution Architecture Expertise Strong experience as a Solution Architect, Technical Architect, or Enterprise Architect in complex environments. Proven ability to design end-to-end business and technology solutions across multiple domains. Experience producing architecture artefacts such as solution blueprints, logical architectures, integration diagrams, and option assessments. Ability to balance strategic thinking with delivery pragmatism. Enterprise, Data & Integration Architecture Strong understanding of: Application and enterprise architecture Integration patterns, APIs, and data flows Cloud platforms (Azure, AWS, GCP) Security and non-functional design considerations Experience designing solutions across enterprise systems and modern data platforms. Familiarity with AI-enabled architectures, automation, and analytics-driven solutions. Business & Commercial Understanding Good understanding of finance processes and enterprise functions, with the ability to link technology design to business outcomes. Strong commercial awareness, including the ability to evaluate trade-offs between cost, value, and complexity. Experience contributing to estimates, business cases, and delivery plans. Stakeholder Engagement & Leadership Strong stakeholder management skills, able to engage senior business leaders and technical teams. Excellent communication skills, with the ability to explain complex architecture concepts clearly. Experience working in collaborative, cross-functional environments. Comfortable leading design discussions and influencing decision-making. Delivery Mindset Comfortable working in fast-paced, evolving environments with iterative solution development. Hands on and adaptable, with a focus on practical, outcome driven delivery. Experience supporting delivery teams through complex implementations and change. Nice to Have Experience in consulting, advisory, or transformation led environments. Exposure to finance transformation, managed services, or CFO technology landscapes. Experience designing AI enabled or data driven solutions, including: Copilots and conversational systems Automation and agentic workflows Analytics and decision support platforms Familiarity with architecture governance frameworks and delivery assurance practices. Relevant architecture or cloud certifications. Why This Role Matters Unity Advisory is building a modern, technology-enabled advisory firm centred on AI, data, and scalable delivery models. This role is critical in shaping how we: Design and deliver end-to-end client solutions Integrate AI, data, and enterprise platforms into meaningful business outcomes Build reusable, scalable architecture capabilities and assets Enable smarter, faster, and more consistent delivery across engagements You will not just design solutions - you will help define how Unity Advisory delivers next generation, AI enabled advisory services at scale. Working at Unity Advisory A truly hybrid and flexible working environment. We offer the opportunity to be at the forefront of AI-driven advisory services. You'll be part of a high impact finance function, empowered to shape how we scale our systems and processes. This is an exciting opportunity to join a fast growing business and accelerate your finance career. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when either scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process.
22/05/2026
Full time
About Unity Advisory Unity Advisory is a new-generation professional services firm built for an AI-enabled world. We operate a lean, conflict-free, and client-centric model that integrates advanced technology and AI into every workstream. With no audit practice, we are free from traditional conflicts and legacy silos. This allows us to move faster, collaborate openly, and focus entirely on creating value for clients. Our flat structure and collaborative culture empower exceptional people to deliver exceptional work. We combine deep advisory expertise with cutting-edge data, AI, and commercial insight to help clients navigate complex challenges faster, smarter, and with greater clarity. At Unity, we are redefining how expert advisory is delivered-one innovative engagement at a time. The Role We are looking for a highly capable, commercially minded Solution Architect to join Unity Advisory, operating across both client-facing engagements and internal platform initiatives to design and deliver scalable, AI-enabled, and data-driven solutions. This is a senior, hands-on architecture role responsible for translating complex business requirements into end-to-end solution designs spanning enterprise systems, data platforms, AI capabilities, integrations, and workflows. A key focus of this role is shaping architectures that integrate modern cloud platforms, enterprise applications (ERP/EPM/CRM), and emerging GenAI capabilities, ensuring solutions are practical, secure, cost-effective, and aligned to measurable business outcomes. This role sits at the intersection of enterprise architecture, data and AI systems, and business transformation, with a clear opportunity to influence solution standards, support proposition development, and shape how Unity delivers technology-enabled advisory at scale. What You'll Do Unity operates in a fast-paced, high-trust environment. You will lead the design of solutions that connect business strategy with robust, scalable technology delivery. End-to-End Solution Architecture Lead the design of end-to-end solution architectures across client engagements and internal initiatives, covering applications, data, integrations, workflows, and AI components. Translate business requirements into clear architectural designs, including process flows, system interactions, data models, and non-functional requirements. Define and evaluate architecture options, recommending solutions based on value, scalability, cost, security, and delivery feasibility. Ensure solutions are pragmatic and implementable, balancing strategic design with real-world constraints. Enterprise Platforms, Data & AI Integration Design solutions integrating enterprise platforms such as ERP, EPM, CRM, workflow, and reporting systems. Architect data flows and integration patterns across cloud platforms (Azure, AWS, GCP) and enterprise environments. Incorporate AI and automation capabilities, including: AI-enabled workflows and copilots Data-driven decision systems Automation and intelligent process orchestration Align solution design with modern data platforms and AI architectures, ensuring interoperability and scalability. Architecture Standards, Governance & Quality Ensure all solutions meet standards for security, resilience, performance, maintainability, and governance. Define and apply architecture principles, design patterns, and reference models. Support architecture governance and assurance, ensuring consistency across engagements. Embed best practices in integration design, data handling, and system interoperability. Delivery Leadership & Execution Support Provide architectural leadership throughout delivery, supporting teams in resolving design challenges, dependencies, and trade-offs. Work closely with engineers, data specialists, product leads, and client stakeholders to ensure solutions are well understood and effectively implemented. Adapt architectures as requirements evolve, maintaining alignment with business outcomes. Contribute to delivery planning, estimation, and technical risk management. Pre-Sales & Proposition Development Support pre-sales activities by shaping solution designs, architecture narratives, and demonstrations. Contribute to business cases, statements of work, and commercial proposals. Help articulate the value of technology solutions to both technical and non-technical stakeholders. Strengthen Unity's propositions through reusable assets and architecture-led thinking. Capability Building & Innovation Develop reusable architecture patterns, templates, accelerators, and reference architectures. Stay current with emerging technologies across AI, data, automation, and cloud, identifying opportunities to create client value. Contribute to the evolution of Unity's AI- and data-enabled delivery model. Support and mentor team members, helping to build architectural capability across the firm. What You Bring Solution Architecture Expertise Strong experience as a Solution Architect, Technical Architect, or Enterprise Architect in complex environments. Proven ability to design end-to-end business and technology solutions across multiple domains. Experience producing architecture artefacts such as solution blueprints, logical architectures, integration diagrams, and option assessments. Ability to balance strategic thinking with delivery pragmatism. Enterprise, Data & Integration Architecture Strong understanding of: Application and enterprise architecture Integration patterns, APIs, and data flows Cloud platforms (Azure, AWS, GCP) Security and non-functional design considerations Experience designing solutions across enterprise systems and modern data platforms. Familiarity with AI-enabled architectures, automation, and analytics-driven solutions. Business & Commercial Understanding Good understanding of finance processes and enterprise functions, with the ability to link technology design to business outcomes. Strong commercial awareness, including the ability to evaluate trade-offs between cost, value, and complexity. Experience contributing to estimates, business cases, and delivery plans. Stakeholder Engagement & Leadership Strong stakeholder management skills, able to engage senior business leaders and technical teams. Excellent communication skills, with the ability to explain complex architecture concepts clearly. Experience working in collaborative, cross-functional environments. Comfortable leading design discussions and influencing decision-making. Delivery Mindset Comfortable working in fast-paced, evolving environments with iterative solution development. Hands on and adaptable, with a focus on practical, outcome driven delivery. Experience supporting delivery teams through complex implementations and change. Nice to Have Experience in consulting, advisory, or transformation led environments. Exposure to finance transformation, managed services, or CFO technology landscapes. Experience designing AI enabled or data driven solutions, including: Copilots and conversational systems Automation and agentic workflows Analytics and decision support platforms Familiarity with architecture governance frameworks and delivery assurance practices. Relevant architecture or cloud certifications. Why This Role Matters Unity Advisory is building a modern, technology-enabled advisory firm centred on AI, data, and scalable delivery models. This role is critical in shaping how we: Design and deliver end-to-end client solutions Integrate AI, data, and enterprise platforms into meaningful business outcomes Build reusable, scalable architecture capabilities and assets Enable smarter, faster, and more consistent delivery across engagements You will not just design solutions - you will help define how Unity Advisory delivers next generation, AI enabled advisory services at scale. Working at Unity Advisory A truly hybrid and flexible working environment. We offer the opportunity to be at the forefront of AI-driven advisory services. You'll be part of a high impact finance function, empowered to shape how we scale our systems and processes. This is an exciting opportunity to join a fast growing business and accelerate your finance career. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when either scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands-on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production-grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade-offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake-offs, and making evidence-based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade-offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to-end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI-powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias-mitigation controls, and participate in required reviews, sign-offs, and documentation. Run structured evaluations and bake-offs of models, tools, and frameworks, and provide evidence-based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high-impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long-term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
18/05/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands-on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production-grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade-offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake-offs, and making evidence-based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade-offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to-end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI-powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias-mitigation controls, and participate in required reviews, sign-offs, and documentation. Run structured evaluations and bake-offs of models, tools, and frameworks, and provide evidence-based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high-impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long-term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
18/05/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.