Webuild Ai

About WeBuild-AI WeBuild-AI is an AI native transformation consultancy. We build production-grade AI solutions that deliver transformational value for global enterprises across financial services, energy and utilities, manufacturing and CPG, and beyond. Our work spans AI strategy, custom AI products, agents, AI-ready data platforms, and AI native engineering, delivered by a team that is AI-first in how we think and how we work. We are a fast-growing, founder-led business with a reputation for turning ambitious AI ideas into systems that run in production. Our customers include some of the most recognisable names in banking, investment, private equity, energy and industrial markets. The role We are hiring for a Client Partner to drive growth across our enterprise customer base and open up new markets. You will work closely with our founders, partners and consultants to shape opportunities, lead commercial conversations, and build trusted relationships with senior buyers in complex organisations. Candidates must have 5+ years experience in professional services and consulting selling. This is a 360 sales role. You will generate pipeline through your own network, activate our partner and channel ecosystem, expand within existing customers, and run disciplined new business outreach. You will own a revenue number, shape the commercial approach, and over time have the opportunity to grow into a role that shapes and leads the wider sales function. What you will do Own and grow a portfolio of enterprise accounts and prospects across our priority sectors, including financial services, energy and utilities, manufacturing and CPG. Run the full sales cycle end to end, from first conversation to signed SOW, working hand in hand with our founders, delivery leads and partner ecosystem. Build and qualify pipeline through a mix of personal network, partner-led motions, channel relationships, existing customer expansion, and targeted outbound. Shape and structure outcome-based commercial models that align our pricing to customer value, working with delivery to craft proposals that customers genuinely want to sign. Use AI throughout your own workflow, from account research and account planning to SOW drafting, proposal shaping and follow-up. We expect our AEs to be power users of the tools we sell. Build durable relationships with senior stakeholders, including C-suite, data and AI leaders, and heads of function, acting as a trusted advisor rather than a transactional seller. Represent WeBuild-AI in customer meetings across the UK, at partner events and at industry gatherings. Feed insight back into our service design, marketing and partner strategy, helping us sharpen our proposition as the market evolves. What we are looking for 6 to 10 years of enterprise sales experience, ideally selling consulting, AI, data or software services into large organisations. Proven track record of closing complex enterprise deals with multiple stakeholders, long sales cycles, and meaningful commercial value.Sector exposure across financial services, energy, manufacturing or CPG, with credibility to hold a conversation with senior buyers in at least one of these markets. Confident operating as a 360 seller, comfortable working your own network, running partner motions, growing existing accounts and prospecting into new logos. Practical command of MEDDIC or MEDDPICC, value-based selling, and the Challenger methodology, with the discipline to run them properly rather than just name-check them. Commercial creativity, including the ability to shape outcome-based, risk-shared and value-linked commercial structures that work for both customer and consultancy. Genuine fluency with AI tools in your own workflow, and the curiosity to keep learning as the landscape shifts. Excellent written communication, particularly in proposals, SOWs and senior stakeholder correspondence. Willingness to be in our London office 3 days a week, and to travel across the UK to meet customers in person. Nice to have Existing relationships with buyers in our priority sectors. Experience working inside or alongside boutique or specialist consultancies. Exposure to partner-led selling with hyperscalers, GPU or AI platform partners. Experience helping shape or scale a sales function in a growing business. Why WeBuild-AI AI-first. We are looking for people who intuitively turn to AI as part of their work, including in sales. Founder-led growth. You will work directly with our founders and senior consultants on real commercial strategy, not through layers of management. Outcome-focused. We sell work we are proud to deliver to customers we want long-term relationships with. Open and inclusive. We value and celebrate diversity, with employee-led initiatives including pub club, gaming evenings and book club. Collaboration is key. Our AEs, consultants and partners work as one cross-functional team. Build our culture. We are a growing business and our AEs help shape how we sell, how we partner, and how we show up in the market. Room to grow. Strong performers in this role will have the opportunity to shape and, over time, lead our sales function.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation, and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents) Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms, as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies (Docker, Kubernetes) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune). Understanding of data mesh-fabric approaches and modern data architecture patterns. Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services (Glue, MSK, Kinesis, Kafka) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions-they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies. Role Overview: As a Lead AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges. Key Responsibilities Lead the design and development of AI solutions using language models and agent frameworks. Implement and customise agent frameworks such as Autogen and LangGraph for production-grade systems. Integrate AI capabilities with client systems, digital products, and data sources in collaboration with data engineers. Translate client requirements into scalable, secure, and high-performing AI applications. Oversee technical quality across project teams, mentoring mid-level and junior engineers. Support clients with AI adoption, education, and safe implementation practices. Contribute to the evolution of our internal AI delivery platform (Pathway) and engineering standards. Stay current with emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems. Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands on experience using frameworks like Autogen and LangGraph. Solid grounding in MLOps, containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing, CI/CD, code reviews). Excellent communicator able to work with cross functional teams and clients. Desire to experiment, iterate, and push the boundaries of practical AI. The Mindset We Value: Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work. Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate. "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward. Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation. Growth Opportunities: Develop expertise with emerging AI models and capabilities before they reach mainstream adoption. Create intellectual property and novel implementation approaches. Work across multiple industries to develop deep domain expertise. Contribute to the evolution of our proprietary AI methodology. Participate in the AI research community and establish thought leadership. Shape new AI services and capabilities within our Pathway platform. This role is hybrid and we come into our London-based office 3 days a week.

About WeBuild-AI: WeBuild-AI areAInatives delivering 10x value for enterprise organisations. We combine highly skilled experts with ourAI Launchpad, industry-aligned language models, and agents to transform enterprise organisations intoAI-poweredanddata-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: We're on a mission toreinvent what's possible with AI in enterprise environments. Our Software Engineers don't just implement solutions-they discover new patterns of working with AI thatrevolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking forpioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies. Key Responsibilities Define and evolve the overall software architecture and technology vision for the organisation. Provide deep technical guidance to multiple engineering teams across projects. Lead the design and delivery oflarge-scale distributed systems that integrate AI and data services. Champion engineering excellence, establishing standards for code quality, performance, and reliability. Collaborate with product and AI leadership to align software strategy with company goals. Review and approve major architectural decisions and technology selections. Mentor and coach Lead Engineers, elevating technical capability across the organisation. Evaluate emerging technologies and introduce innovative approaches that improve our software delivery. Ensure best practices in security, observability, CI/CD, and cloud infrastructure are embedded throughout the engineering function. Represent the engineering organisation externally - at conferences, client meetings, and community events. Required Skills & Experience 8+ years' experience designing, building, and scaling enterprise-grade software systems. Deep technical expertise across the full stack, with mastery in Python, TypeScript/React, and cloud-native architectures. Proven experience architecting distributed systems and integrating AI services or data platforms. Experience setting technical direction, establishing patterns, and guiding multiple teams. Strong understanding of DevOps, infrastructure as code, and microservices design. Track record of mentoring senior engineers and leading technical communities. Exceptional problem-solving and communication skills, with the ability to influence at all levels. Strategic thinker - capable of balancing innovation, quality, and delivery speed. The Mindset We Value Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work. Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate. "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward. Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation. Growth Opportunities Develop expertise with emerging AI models and capabilities before they reach mainstream adoption. Create intellectual property and novel implementation approaches. Work across multiple industries to develop deep domain expertise. Contribute to the evolution of our proprietary AI methodology. Participate in the AI research community and establish thought leadership. Shape new AI services and capabilities within our Pathway platform. This role is hybrid and we come into our London based office 3 days a week.

Webuild Ai is seeking a skilled Software Engineer to lead the design and development of complex AI-powered applications. This hybrid role requires expertise in React, TypeScript, and Python, alongside experience in cloud-native development. The ideal candidate will have a passion for innovation and a mindset that embraces flexibility and problem-solving. Join us in our London office three days a week for a collaborative experience in pushing AI boundaries.

Webuild Ai is seeking a Senior Software Architect to lead the design and delivery of enterprise-grade software solutions. The role requires 8+ years of experience and deep expertise in Python, TypeScript/React, and cloud-native architectures. You will mentor engineers, define software architecture, and ensure best practices in AI software delivery. This hybrid position requires in-office attendance three days a week in London, offering an opportunity to innovate and reshape enterprise AI solutions.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry aligned language models, and agents to transform enterprise organisations into AI powered and data driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments. Our Software Engineers don't just implement solutions-they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies. Key Responsibilities Lead the design, development, and delivery of complex software systems and AI powered applications. Work across the full stack - frontend (React, TypeScript) and backend (Python, Java) - to build performant, maintainable solutions. Mentor and support a small team of engineers, conducting code reviews and fostering best practices. Collaborate closely with Data Engineers, AI Engineers, and Product Managers to turn ideas into production ready software. Drive technical decisions around architecture, performance, and scalability. Ensure high quality coding standards and strong testing/CI practices are consistently applied. Guide deployment and operations in AWS and other cloud environments, leveraging Docker/Kubernetes. Contribute to hiring, onboarding, and developing new team members. Stay current with emerging frameworks, tools, and patterns - helping the team evolve with industry trends. Required Skills & Experience Extensive experience building and deploying production grade web and software applications. Strong experience in React, TypeScript, and Python (Java optional). Hands on experience with cloud native development (AWS, GCP, or Azure). Understanding of CI/CD, infrastructure as code, and container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work. Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate. "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem solvers who find a way forward. Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation. Growth Opportunities: Develop expertise with emerging AI models and capabilities before they reach mainstream adoption. Create intellectual property and novel implementation approaches. Work across multiple industries to develop deep domain expertise. Contribute to the evolution of our proprietary AI methodology. Participate in the AI research community and establish thought leadership. Shape new AI services and capabilities within our Pathway platform. This role is hybrid and we come into our London based office 3 days a week.

About WeBuild-AI WeBuild-AI is an AI native transformation consultancy. We build production-grade AI solutions that deliver transformational value for global enterprises across financial services, energy and utilities, manufacturing and CPG, and beyond. Our work spans AI strategy, custom AI products, agents, AI-ready data platforms, and AI native engineering, delivered by a team that is AI-first in how we think and how we work. We are a fast-growing, founder-led business with a reputation for turning ambitious AI ideas into systems that run in production. Our customers include some of the most recognisable names in banking, investment, private equity, energy and industrial markets. The role We are hiring for a Client Partner to drive growth across our enterprise customer base and open up new markets. You will work closely with our founders, partners and consultants to shape opportunities, lead commercial conversations, and build trusted relationships with senior buyers in complex organisations. Candidates must have 5+ years experience in professional services and consulting selling. This is a 360 sales role. You will generate pipeline through your own network, activate our partner and channel ecosystem, expand within existing customers, and run disciplined new business outreach. You will own a revenue number, shape the commercial approach, and over time have the opportunity to grow into a role that shapes and leads the wider sales function. What you will do Own and grow a portfolio of enterprise accounts and prospects across our priority sectors, including financial services, energy and utilities, manufacturing and CPG. Run the full sales cycle end to end, from first conversation to signed SOW, working hand in hand with our founders, delivery leads and partner ecosystem. Build and qualify pipeline through a mix of personal network, partner-led motions, channel relationships, existing customer expansion, and targeted outbound. Shape and structure outcome-based commercial models that align our pricing to customer value, working with delivery to craft proposals that customers genuinely want to sign. Use AI throughout your own workflow, from account research and account planning to SOW drafting, proposal shaping and follow-up. We expect our AEs to be power users of the tools we sell. Build durable relationships with senior stakeholders, including C-suite, data and AI leaders, and heads of function, acting as a trusted advisor rather than a transactional seller. Represent WeBuild-AI in customer meetings across the UK, at partner events and at industry gatherings. Feed insight back into our service design, marketing and partner strategy, helping us sharpen our proposition as the market evolves. What we are looking for 6 to 10 years of enterprise sales experience, ideally selling consulting, AI, data or software services into large organisations. Proven track record of closing complex enterprise deals with multiple stakeholders, long sales cycles, and meaningful commercial value. Sector exposure across financial services, energy, manufacturing or CPG, with credibility to hold a conversation with senior buyers in at least one of these markets. Confident operating as a 360 seller, comfortable working your own network, running partner motions, growing existing accounts and prospecting into new logos. Practical command of MEDDIC or MEDDPICC, value-based selling, and the Challenger methodology, with the discipline to run them properly rather than just name-check them. Commercial creativity, including the ability to shape outcome-based, risk-shared and value-linked commercial structures that work for both customer and consultancy. Genuine fluency with AI tools in your own workflow, and the curiosity to keep learning as the landscape shifts. Excellent written communication, particularly in proposals, SOWs and senior stakeholder correspondence. Willingness to be in our London office 3 days a week, and to travel across the UK to meet customers in person. Nice to have Existing relationships with buyers in our priority sectors. Experience working inside or alongside boutique or specialist consultancies. Exposure to partner-led selling with hyperscalers, GPU or AI platform partners. Experience helping shape or scale a sales function in a growing business. Why WeBuild-AI AI-first. We are looking for people who intuitively turn to AI as part of their work, including in sales. Founder-led growth. You will work directly with our founders and senior consultants on real commercial strategy, not through layers of management. Outcome-focused. We sell work we are proud to deliver to customers we want long-term relationships with. Open and inclusive. We value and celebrate diversity, with employee-led initiatives including pub club, gaming evenings and book club. Collaboration is key. Our AEs, consultants and partners work as one cross-functional team. Build our culture. We are a growing business and our AEs help shape how we sell, how we partner, and how we show up in the market. Room to grow. Strong performers in this role will have the opportunity to shape and, over time, lead our sales function.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments . Our Software Engineers don't just implement solutions-they discover new patterns of working with AI that revolutionise entire business processes . We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation , working at the absolute cutting edge of what's possible with today's most advanced AI technologies. Key Responsibilities Define and evolve the overall software architecture and technology vision for the organisation. Provide deep technical guidance to multiple engineering teams across projects. Lead the design and delivery of large-scale distributed systems that integrate AI and data services. Champion engineering excellence , establishing standards for code quality, performance, and reliability. Collaborate with product and AI leadership to align software strategy with company goals. Review and approve major architectural decisions and technology selections. Mentor and coach Lead Engineers , elevating technical capability across the organisation. Evaluate emerging technologies and introduce innovative approaches that improve our software delivery. Ensure best practices in security, observability, CI/CD , and cloud infrastructure are embedded throughout the engineering function. Represent the engineering organisation externally - at conferences, client meetings, and community events. Required Skills & Experience 8+ years' experience designing, building, and scaling enterprise-grade software systems. Deep technical expertise across the full stack , with mastery in Python , TypeScript/React , and cloud-native architectures . Proven experience architecting distributed systems and integrating AI services or data platforms . Experience setting technical direction , establishing patterns, and guiding multiple teams. Strong understanding of DevOps, infrastructure as code , and microservices design. Track record of mentoring senior engineers and leading technical communities. Exceptional problem-solving and communication skills, with the ability to influence at all levels. Strategic thinker - capable of balancing innovation, quality, and delivery speed. The Mindset We Value: Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work. Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate. "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward. Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation. Growth Opportunities: Develop expertise with emerging AI models and capabilities before they reach mainstream adoption. Create intellectual property and novel implementation approaches. Work across multiple industries to develop deep domain expertise. Contribute to the evolution of our proprietary AI methodology. Participate in the AI research community and establish thought leadership. Shape new AI services and capabilities within our Pathway platform. This role is hybrid and we come into our London based office 3 days a week.

About WeBuild-AI WeBuild-AI is an AI native transformation consultancy. We build production-grade AI solutions that deliver transformational value for global enterprises across financial services, energy and utilities, manufacturing and CPG, and beyond. Our work spans AI strategy, custom AI products, agents, AI-ready data platforms, and AI native engineering, delivered by a team that is AI-first in how we think and how we work. We are a fast-growing, founder-led business with a reputation for turning ambitious AI ideas into systems that run in production. Our customers include some of the most recognisable names in banking, investment, private equity, energy and industrial markets. The role We are hiring for a Client Partner to drive growth across our enterprise customer base and open up new markets. You will work closely with our founders, partners and consultants to shape opportunities, lead commercial conversations, and build trusted relationships with senior buyers in complex organisations. Candidates must have 5+ years experience in professional services and consulting selling. This is a 360 sales role. You will generate pipeline through your own network, activate our partner and channel ecosystem, expand within existing customers, and run disciplined new business outreach. You will own a revenue number, shape the commercial approach, and over time have the opportunity to grow into a role that shapes and leads the wider sales function. What you will do Own and grow a portfolio of enterprise accounts and prospects across our priority sectors, including financial services, energy and utilities, manufacturing and CPG. Run the full sales cycle end to end, from first conversation to signed SOW, working hand in hand with our founders, delivery leads and partner ecosystem. Build and qualify pipeline through a mix of personal network, partner-led motions, channel relationships, existing customer expansion, and targeted outbound. Shape and structure outcome-based commercial models that align our pricing to customer value, working with delivery to craft proposals that customers genuinely want to sign. Use AI throughout your own workflow, from account research and account planning to SOW drafting, proposal shaping and follow-up. We expect our AEs to be power users of the tools we sell. Build durable relationships with senior stakeholders, including C-suite, data and AI leaders, and heads of function, acting as a trusted advisor rather than a transactional seller. Represent WeBuild-AI in customer meetings across the UK, at partner events and at industry gatherings. Feed insight back into our service design, marketing and partner strategy, helping us sharpen our proposition as the market evolves. What we are looking for 6 to 10 years of enterprise sales experience, ideally selling consulting, AI, data or software services into large organisations. Proven track record of closing complex enterprise deals with multiple stakeholders, long sales cycles, and meaningful commercial value.Sector exposure across financial services, energy, manufacturing or CPG, with credibility to hold a conversation with senior buyers in at least one of these markets. Confident operating as a 360 seller, comfortable working your own network, running partner motions, growing existing accounts and prospecting into new logos. Practical command of MEDDIC or MEDDPICC, value-based selling, and the Challenger methodology, with the discipline to run them properly rather than just name-check them. Commercial creativity, including the ability to shape outcome-based, risk-shared and value-linked commercial structures that work for both customer and consultancy. Genuine fluency with AI tools in your own workflow, and the curiosity to keep learning as the landscape shifts. Excellent written communication, particularly in proposals, SOWs and senior stakeholder correspondence. Willingness to be in our London office 3 days a week, and to travel across the UK to meet customers in person. Nice to have Existing relationships with buyers in our priority sectors. Experience working inside or alongside boutique or specialist consultancies. Exposure to partner-led selling with hyperscalers, GPU or AI platform partners. Experience helping shape or scale a sales function in a growing business. Why WeBuild-AI AI-first. We are looking for people who intuitively turn to AI as part of their work, including in sales. Founder-led growth. You will work directly with our founders and senior consultants on real commercial strategy, not through layers of management. Outcome-focused. We sell work we are proud to deliver to customers we want long-term relationships with. Open and inclusive. We value and celebrate diversity, with employee-led initiatives including pub club, gaming evenings and book club. Collaboration is key. Our AEs, consultants and partners work as one cross-functional team. Build our culture. We are a growing business and our AEs help shape how we sell, how we partner, and how we show up in the market. Room to grow. Strong performers in this role will have the opportunity to shape and, over time, lead our sales function.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments . Our Software Engineers don't just implement solutions-they discover new patterns of working with AI that revolutionise entire business processes . We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation , working at the absolute cutting edge of what's possible with today's most advanced AI technologies. Key Responsibilities Define and evolve the overall software architecture and technology vision for the organisation. Provide deep technical guidance to multiple engineering teams across projects. Lead the design and delivery of large-scale distributed systems that integrate AI and data services. Champion engineering excellence , establishing standards for code quality, performance, and reliability. Collaborate with product and AI leadership to align software strategy with company goals. Review and approve major architectural decisions and technology selections. Mentor and coach Lead Engineers , elevating technical capability across the organisation. Evaluate emerging technologies and introduce innovative approaches that improve our software delivery. Ensure best practices in security, observability, CI/CD , and cloud infrastructure are embedded throughout the engineering function. Represent the engineering organisation externally - at conferences, client meetings, and community events. Required Skills & Experience 8+ years' experience designing, building, and scaling enterprise-grade software systems. Deep technical expertise across the full stack , with mastery in Python , TypeScript/React , and cloud-native architectures . Proven experience architecting distributed systems and integrating AI services or data platforms . Experience setting technical direction , establishing patterns, and guiding multiple teams. Strong understanding of DevOps, infrastructure as code , and microservices design. Track record of mentoring senior engineers and leading technical communities. Exceptional problem-solving and communication skills, with the ability to influence at all levels. Strategic thinker - capable of balancing innovation, quality, and delivery speed. The Mindset We Value: Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work. Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate. "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward. Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation. Growth Opportunities: Develop expertise with emerging AI models and capabilities before they reach mainstream adoption. Create intellectual property and novel implementation approaches. Work across multiple industries to develop deep domain expertise. Contribute to the evolution of our proprietary AI methodology. Participate in the AI research community and establish thought leadership. Shape new AI services and capabilities within our Pathway platform. This role is hybrid and we come into our London based office 3 days a week.

Webuild Ai is seeking a Platform Engineer to design and implement cutting-edge data solutions for AI-driven transformations. This strategic role involves collaborating with global enterprise clients to optimize data platforms and strategies. The ideal candidate has strong AWS and Azure experience, along with proficiency in Python. As a hybrid position, team members work in the London office three days a week.

Webuild Ai is looking for a Client Partner to drive growth with enterprise customers and open new markets. This role requires 6 to 10 years of enterprise sales experience, ideally in consulting or AI. You will lead commercial conversations and manage a portfolio of accounts across sectors like financial services and energy. This role is critical for shaping the company's sales function, requiring a thorough understanding of value-based selling methods and the ability to use AI tools in the workflow. The position includes a hybrid working model with 3 days a week in the London office.