Accenture

Accenture is seeking a Security Consultant to design security architectures and advise clients on compliance in Newcastle. You'll work with innovative technologies on complex security challenges in the UK public sector. The role requires a strong understanding of cybersecurity principles, risk management, and opportunities for professional growth within a collaborative environment. Benefits include a competitive salary and 30 days of vacation annually.

AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London YOU ARE As a hands on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands on role - you will spend the majority of your time in the architecture and engineering of real world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise grade reliability. You will design and build AI agent architectures - including multi agent orchestration, tool use, skills use, and memory systems - and work hands on with foundation models through fine tuning, retrieval augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice - connecting enterprise knowledge bases, structured and unstructured data sources, and domain specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components - building, integrating, and testing AI system modules as a practitioner - alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real world problems, and build a foundation for growing into a lead or principal architect over time. THE WORK Independently design, build, and deliver software components across the AI architecture - owning them end to end from design through implementation, integration, and testing as a hands on practitioner Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi agent orchestration, and memory systems - making deliberate design pattern and technology choices Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands on prototyping Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations - selecting the right models, invocation patterns, and customization approaches (fine tuning, RAG, custom integration) based on capability, cost, and performance trade offs Design and build model adaptation and fine tuning pipelines, applying working knowledge of transformer based architectures to inform model selection and optimization Design and build the AI context layer - including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end to end RAG pipelines, applying integration patterns that connect to enterprise data sources Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements Design for cost efficiency and performance - optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives Design, build, and validate systems against enterprise non functional requirements - implementing guardrails, prompt injection defenses, PII handling, and access controls for security and Responsible AI Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable Build observability into systems - logging, tracing, monitoring, alerting, and cost tracking - to ensure AI solutions remain healthy, performant, and scalable in production Produce detailed architecture artifacts - including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams - that guide and enable broader engineering teams Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast evolving AI landscape, balancing innovation with enterprise grade reliability Collaborate with cross functional delivery teams - data engineers, ML engineers, and application developers - to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning large scale analytical engineering solutions.

Accenture in London seeks an AI Large Language Model (LLM) Technology Architect to lead hands on design and delivery of enterprise AI systems, spanning classical ML, generative AI, and agentic architectures. You will own architecture decisions, build reusable components, and create ADRs and data flows, collaborating with data engineers, ML engineers, and application developers in client engagements. This role emphasizes security, governance, observability, and cost efficiency while growing into

Accenture is looking for a Technology Strategy & Advisory, Enterprise Architect Manager & Senior Manager in the UK, focusing on the Communications and Media sector. This role requires leading significant digital transformation programs while engaging with C-suite stakeholders to drive architectural decisions. The ideal candidate should possess extensive experience in telecoms, BSS/OSS domains, and cloud-native architectures. Accenture offers an extensive benefits package, including 30 days' vacation and private medical insurance.

Role: Technology, Strategy & Advisory, Enterprise Architect Manager & Senior Manager - CMT Location: London, Manchester, Edinburgh Industry: Comms, Media & Telco Mobility: Up to 100% Career Level: Manager Responsibilities Assess the impact of business strategy on enterprise architecture across organisation, applications, data, infrastructure, and operations Stay abreast of Comms & Media industry trends and translate them into enterprise architecture implications and transformation opportunities Lead large-scale IT and digital transformation programs for Comms and media clients, advising on impacts across people, process, technology, data, and AI Drive BSS/OSS transformation initiatives, leveraging deep understanding of telecom ecosystems and aligning architecture with Accenture offerings Engage with C-suite stakeholders, leading strategic conversations and influencing key architectural and investment decisions Co-create client Enterprise Architecture vision, strategy, and roadmaps aligned to business objectives and market dynamics Lead the creation of end-to-end architecture blueprints, covering applications, integrations, data, and technology landscapes Conduct as-is architecture assessments across business capabilities, applications, data, and technology, identifying gaps, maturity levels, and pain points Define target-state architecture, including application rationalisation and modernisation strategies Bring strong awareness of COTS platforms (e.g., Salesforce, Amdocs, Oracle, ServiceNow, MS Dynamics) and define best-fit enterprise architecture Apply industry-standard frameworks such as TOGAF and TM Forum (eTOM, SID, ODA), leveraging 7R modernisation strategies to define and drive architecture transformation Work with business, technology & 3rd party stakeholders to effectivity formulate communicate and conclude key architectural decisions Drive enterprise architecture governance to ensure alignment with principles, standards, and target-state architectures, maintaining architectural consistency and control Lead proposal development and deal shaping, translating client pain points into differentiated offerings and POVs Drive innovation through creation of reusable assets and PoCs, demonstrating business value and accelerating client decision-making Define enterprise data platforms, integration, and automation strategies, including AI-enabled architectures and agentic frameworks Identify opportunities to integrate AI and automation into BSS/OSS operations for improved efficiency and productivity Lead and mentor architecture teams, ensuring high-quality delivery, capability development, and alignment with enterprise standards Qualifications Have experience in the Communications, Media & Technology (CMT) industry, with strong global telecom exposure Possess deep knowledge of Telco BSS/OSS domains, including CRM, CPQ, Order Management, Product Management, Billing, and OSS Have experience delivering complex digital transformation programs across large-scale telecom environments Bring a strong blend of consulting, enterprise architecture, and telecom domain expertise Have strong knowledge of cloud-native architectures, digital decoupling, and platform-based transformation strategies Demonstrate strong stakeholder management and executive communication skills, with the ability to influence senior leaders Have experience with AI, data platforms, and emerging technologies, including Agentic AI and intelligent automation Deep expertise in CPQ (B2B Telco), billing architectures (mobile/converged), and revenue management Experience across OSS domain, including service fulfilment, provisioning, and assurance (e.g. ServiceNow, Remedy, AIOps, NetOps, and CMDB Strong understanding of telecom products and lifecycle management across Mobile, Fixed, IoT, Digital, and Cloud services TOGAF certified enterprise architecture practitioner Proven hands on experience leveraging enterprise architecture tools (e.g., LeanIX, Orbus) to support architecture governance and modelling Set yourself apart Demonstration of in depth technology insight in particular Telco functional domain e.g. Sales, CRM, Order Management, Product management, Billing and OSS Experience working as a enterprise architect Experience in business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Experience with Enterprise / platform / application / data architecture Knowledge of architecture tools such as LeanIX, Ardoq, iServer, etc. Previous experience in Comms and Media Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re platforming, modernization of enterprise architecture Certified in AWS/Azure/GCP and other enterprise platforms Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework Benefits At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for.

Location: Europe (any country/city) Do you get excited when guiding organizations on the transformation of their HR processes based on the next generation of technology? Put your expertise to work as part of the world's largest independent technology services provider and own the way as a trendsetter in Workday. We're ready if you are. INTRODUCTION The Accenture Workday Business Group is a leading partner to Workday worldwide and has a track record of implementing many of the most significant Workday projects. In addition, we take pride in advising and collaborating closely with our clients from early strategy discussions, through technology implementations and transformation programs, to support and operations. Learn more about our practice at ARE YOU INTERESTED? Do you want to work with global talent at the forefront of technological services and seek meaningful projects for top international businesses? At Accenture you have access to specifics trainings for your functional lead role. You will start with training -together with colleagues - and you will join seminars at various international locations. You will be primed, equipped and well-networked to tackle exciting projects. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." -Julie Sweet, Accenture CEO What We Offer: Innovative large scale Workday projects A global network of talented and passionate colleagues Challenging work for some of the world's largest companies Extensive education programs and development opportunities Volunteering and career opportunities around the world A diverse and socially active workforce Flexible working hours and opportunity to work from home Friendly and social work environment Ability to craft your career based on your own aspirations. As a Workday Extend Architect: You'll be part of a team of advisory professionals who deliver more than just technology. From rapid deployments to complete transformations, you'll provide integrated, cloud-based HR solutions that put organizations on the fast track to a better way to work. In this role, you will help our clients get the most out of their Workday investment by: Sharing leading practices and your experiences on integrating Workday with other systems, including rationalisation of the integration inventory Hosting workshops and leading discussions on topics across the integration domain Lead Discovery session with client for each domain specific integration Deliver requirements and design documents to developers Managing and guiding a team of Workday Integrations consultants Liaising closely with client counterparts, Accenture colleagues and Workday to achieve a robust solution Active involvement in (pre-)sales activities to shape the right offering for our prospective clients We are looking for experience in the following skills: Proficiency in multiple integration areas (i.e. Workday Studio, Connectors, EIBs) Experience from several full-cycle Workday implementations, including requirements gathering, integration design, testing and deployment Ability to meet client travel requirements as needed, and efficiently manage virtual team and client interactions Thrive in a diverse, dynamic environment and showing effective interpersonal skills and the ability to collaborate across teams Think analytically and effectively apply logic to solve problemsAbility to handle multiple tasks concurrently and meet deadlines despite conflicting demands Excellent communication skills in English, both verbal and written, and can clearly articulate complex messages and requirements Strong desire to work with clients and provide exceptional client experiences Set yourself apart: Fluency in any one of the European Languages up-to-date Workday Integration or Workday Studio certification Cloud Connect Third Party Payroll and Benefits experience Ability to work closely with a global team including offshore delivery teams WorkdayReporting/PRISM/Extendexperience

Accenture is seeking a Workday Extend Architect to guide organizations in their HR technology transformations. You will be integral in providing cloud-based HR solutions while collaborating with a global team on large-scale projects. This role demands proficiency in Workday integrations and a passion for delivering remarkable client experiences. You will be joining a diverse workforce dedicated to innovative solutions within a socially active work environment.

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data prep, and scalable pipelines. You will work across business and technical teams to deliver production-ready systems, including Deep Learning, Gen AI, and LLM integrations, with a focus on reliability, value, and measurable impact. You will collaborate with stakeholders to justify model approaches in business terms, ensuring

Accenture is seeking a hands-on AI Engineer to design, build, and integrate complex AI system components spanning classic ML, generative AI and agentic architectures. You will translate detailed architecture designs into production-grade software, wiring together agents, prompts, tools and memory components for enterprise-scale deployments. You will work with data and ML engineers, application developers, and architects to deliver reliable, secure, and observable AI solutions, evaluating open

As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems powering the modern enterprise. This is a deeply technical, hands on engineering role - you will spend the majority of your time in the detailed design, development, integration, and testing of AI system components across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will take detailed architecture and design specifications and translate them into working, production quality software components. This means writing clean, well structured code, making low level design decisions within your assigned scope, and ensuring your components integrate reliably within the broader AI system. You will build and wire together the constituent parts of AI agent systems - including individual agent logic, tool integrations, skills, and memory components - and contribute to the development and integration of foundation and classical ML models into end to end pipelines. A hands on curiosity for the open source ecosystem is essential in this role. You will continuously evaluate, learn, and adopt relevant open source libraries and frameworks - such as those spanning agent orchestration, vector storage, model serving, and ML pipelines - selecting and applying the right ones for the problem at hand. Equally, you will configure, integrate, and operationalize third party AI technologies and platform services, understanding their capabilities and constraints deeply enough to make them work reliably within the context of a larger enterprise system. You will engineer components with enterprise grade qualities in mind, ensuring your work meets defined requirements across security, observability, governance, performance, and scalability. You will write and maintain the technical artifacts that accompany your engineering work - including low level design documents, component specifications, and integration contracts - ensuring your work is well documented, testable, and handoff ready. You will operate as a practitioner within cross functional delivery teams alongside data engineers, ML engineers, and application developers, taking direction from lead and principal architects while contributing meaningfully to technical problem solving and design discussions within your domain. This role is an opportunity to build deep, hands on expertise across the AI engineering stack, develop strong software engineering fundamentals applied to cutting edge AI systems, and grow toward a lead engineer or architect role over time. THE WORK Design, build, and configure individual agents - including their prompts, tools, and skills - and integrate them into multi agent workflows Implement agent orchestration logic that handles task handoffs, communication, and error recovery Build evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness, and share findings to inform design improvements Integrate foundation models into applications, selecting the appropriate model and invocation pattern for each use case Build and run model fine tuning pipelines - including data preparation and training - to adapt models to specific business domains, applying working knowledge of transformer based architectures Build ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval Implement embedding generation, integrate vector databases, and develop retrieval components, including connectors and adapters that process unstructured content into end to end RAG pipelines Build the logic that assembles prompts and manages what information is passed to the model within its context window Implement memory components that store and recall conversational history and other relevant context Implement input/output guardrails, content filtering, and defenses against prompt injection Build PII detection and redaction components and integrate access controls for model and tool access Implement versioning, audit logging, and lineage tracking, and maintain model documentation that keeps the system auditable Instrument components with logging and tracing for requests, responses, token usage, and tool calls Contribute to monitoring, alerting, and cost tracking that keep AI systems healthy in production Continuously learn and apply new design patterns, technologies, and frameworks across the fast evolving AI landscape, bringing fresh approaches to the components you build Collaborate within cross functional teams to clarify requirements and ensure your components meet stakeholder needs Create and maintain clear technical documentation for the components you build, supporting troubleshooting and future development EDUCATION Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline BASIC (REQUIRED) QUALIFICATION Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative, and classical AI/ML using at least one cloud vendor. Experience (work or coursework in the Agentic, LLM and Generative AI space. Experience (work or coursework) architecting and operationalizing LLM driven application architecture patterns. Experience in coding and engineering, machine learning, deep learning and NLP solutions and applications. Coding experience using Python

Accenture in the United Kingdom is seeking an AI Large Language Model (LLM) Technology Lead/Principal Architect to own end-to-end AI platform architecture across enterprise-scale programs. You will work with CIOs and CTOs to translate business goals into a coherent technical vision, balancing innovation with pragmatism and governance. You will lead multiple domain architects, drive memory, agentic orchestration, model deployment, security, and observability, and produce ADRs and reference

AI Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Manager / Senior Manager / Associate Director You Are As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions-spanning classical machine learning, generative AI, and agentic systems-ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives and enterprise-grade standards. A defining dimension of this role is your ability to operate at the executive level-working closely with CIOs, CTOs, and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals, priorities, and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful, sequenced, and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect. In this role, you will lead and integrate the work of multiple domain architects and subject matter specialists-across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference-providing the architectural vision, technical governance, and cross-domain coherence that bind their contributions into a unified, enterprise-ready system. You will set the architectural direction, resolve cross-domain tensions, and make the critical design decisions that shape the entire AI solution. Beyond client delivery, you will be recognized as a thought leader and leading authority in AI-staying at the forefront of the latest research, emerging standards, industry innovations, and evolving technology landscapes. You will actively shape the practice's AI architecture point of view, contribute to internal knowledge, frameworks, and reusable assets, and represent the firm externally through publications, conference engagements, and client advisory conversations. Your perspective on where AI is heading will be sought by clients, practice leadership, and peers alike. You will evaluate and make definitive decisions on design patterns, technical frameworks, reference architectures, and technology selections-balancing innovation with pragmatism to deliver systems that are robust, scalable, and built to last. This includes providing architectural oversight across AI agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security, observability, governance, performance, and scalability-and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale-including architecture decision records (ADRs), reference architectures, component and data flow diagrams, and integration specifications-and provide the executive-level technical leadership that gives cross-functional engineering teams, domain architects, and client stakeholders the clarity and confidence to execute. Your work will be instrumental in defining how the most ambitious clients adopt, scale, and lead with AI-setting a standard for what advanced AI architecture can and should look like, and delivering transformational, lasting business value. The Work Partner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy, connecting business goals to a coherent, sequenced technical vision Lead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantage Own the complete, end-to-end technical solution for complex AI platforms-ensuring every domain is cohesively designed and aligned to business objectives and enterprise standards Translate the governing architecture principles into a concrete, defensible technical solution that domain teams build against Build innovative prototypes and proofs of concept hands on, using emerging technologies to de risk decisions and prove value early Perform technology assessments and comparisons, making definitive, evidence based recommendations on tools, frameworks, and platforms Set the architectural direction for model and tool agnostic multi agent ecosystems-orchestration, memory, and tool/skill use-governed through a registry bound AI Gateway Establish the agent registry and certification model that mandates no uncertified agent reaches production Define memory as a first class abstracted platform service, decoupled from any underlying vendor engine Define the foundation model and inference strategy-adaptation, fine tuning, and dynamic cost/quality/latency aware routing Set the standards for high throughput, low latency inferencing and classical ML deployment within unified, production ready platforms Own the architecture of the enterprise context layer-knowledge graphs, ontologies, vector search, and semantic retrieval-grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows, and conversational state across the platform Be accountable for security, governance, observability, performance, and scalability addressed holistically and consistently across every domain Establish the identity and authorization model-per agent identity, IAM/IAP binding, and defense in depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane-registry, gateway, and risk scoring-across all internal and third party servers Mandate adopt over build for productized evaluation and observability stacks Establish FinOps as a first class concern-usage labelling, gateway enforced budgets, and cost per archetype as a planning input Make the definitive decisions on design patterns, reference architectures, frameworks, and technology selections, balancing innovation with pragmatism Lead and integrate the work of domain architects and specialists, resolving cross domain tensions into a unified, enterprise ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt over build stance Conduct deep dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts-blueprints, reference architectures, ADRs, and integration specifications-that guide delivery at scale Serve as a recognized thought leader in AI, shaping the practice's point of view and representing the firm externally through publications and conference engagements Education Bachelor's Degree or equivalent Required Skills / Experience Extensive experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Proven experience in the LLM and Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine architect in the industry designing big data, machine learning and large scale analytical engineering solutions.

A leading global professional services company is seeking a Data Architecture Associate Manager to work on innovative projects at the forefront of the AI revolution. The role involves designing and implementing scalable data solutions, advising clients on architecture, and mentoring junior architects. Strong experience in AI-enabled data architecture and cloud platforms like AWS or Azure is required. This position offers a competitive salary, extensive benefits, and the opportunity for professional growth in a diverse and inclusive environment.

A leading consulting firm in the UK is seeking an Associate Solution Architect to create innovative solutions for business challenges. Responsibilities include developing architectural roadmaps and documenting standards. The ideal candidate will have strong knowledge of open source and cloud technologies, as well as experience leading development teams. A competitive salary is offered alongside an extensive benefits package, including vacation time and private medical insurance.

Role Location - Southwest- must be willing to travel to client sites throughout the UK on an ad hoc basis Salary: Competitive (based on experience) Level: Accenture will be hiring at Specialist level Please Note: Any offer of employment is subject to satisfactory BPSS and SC+ security clearance which typically requires 10 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application. Note: The above information relates to a specific client requirement As an Associate Solution Architect you will: Define creative solutions for business problems, holistically addressing functional and non-functional requirements. Define the architectural roadmaps for systems and business services. Effectively describe solutions using industry standard modelling notations. Define and document standards and guidelines to direct the solution delivery. Ensure that the finished product conforms to the architectural principles and standards. Contribute to the practice development through thought leadership and development of innovative services and offerings. We expect you to have: Strong working knowledge of open source, open standards and cloud technologies. Good understanding of architectural concepts, methodologies and approaches. Excellent working knowledge of design patterns and modelling notations such as ArchiMate, UML and BPMN. Good knowledge of integration techniques, architecture patterns and non-functional drivers. Experience of leading development teams from a design and technical basis. Quality Assurance skills to assess the quality and completeness of deliverables. Knowledge and demonstrable experience of both traditional and agile delivery methods. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Within security architecture we offer continual training and upskilling opportunities for both technical and soft skills.

Accenture is seeking a Maximo Solution Architect Manager to lead functional and business solution architecture for IBM Maximo implementations. The role requires collaboration with stakeholders, translating business objectives into actionable solutions. You will benefit from a competitive salary, up to 30 days vacation, private medical insurance, and additional leave for charitable work. Applications close on 31/07/2026; however, the role may close sooner if a suitable candidate is found.

Job Role: Maximo Solution Architect Manager Location: UK Career Level: Manager Salary: Competitive, plus benefits. Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. The Opportunity To lead the end-to-end functional and business solution architecture for IBM Maximo / Maximo Application Suite (MAS) implementations, ensuring solutions deliver measurable business outcomes and align to enterprise operating models while remaining feasible within platform and delivery constraints. In this role you will: Solution & Function Architecture Lead process discovery, fit-gap, and solution design across core EAM capabilities (work management, asset lifecycle, inventory, procurement, service management) Define target state processes, governance, and operating model aligned to client objectives Own the solution architecture design and ensure consistency across workstreams Value and Ownership Translate business objectives into solution requirements and design decisions Define KPIs and reporting frameworks aligned to operational performance and value realisation Stakeholder Leadership Facilitate workshops with business and IT stakeholders across functions Act as a trusted advisor to senior client stakeholders and programme leadership Design Governance Provide functional design authority across the programme lifecycle Work in close partnership with the Technical Architect and Functional Lead to ensure feasibility and alignment Manage requirements traceability, design decisions, and change control What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services, we are known for. Closing Date for Applications: 31/07/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. We are looking for experience across a selection of the following skills: Proven experience delivering IBM Maximo / MAS implementations end-to-end Strong understanding of Enterprise Asset Management (EAM) processes and best practices Demonstrated experience leading workshops, fit-gap, and functional design authority Ability to translate business needs into structured, actionable solution designs Strong stakeholder management and communication skills Set yourself apart if you can demonstrate some of the areas below: Experience in Aerospace & Defence and/or Maintenance, Repair & Overhaul (MRO) environments Familiarity with asset intensive, regulated industries Knowledge of reliability and maintenance strategies (e.g. FMEA, RAMT) Experience integrating EAM solutions with ERP, PLM, supply chain, or IoT platforms

A leading consulting firm in London seeks a Cloud Advisory Agentic Architecture Consultant to lead client engagements and design innovative cloud solutions. The ideal candidate will guide clients in adopting Agentic AI workflows and ensure robust, secure architectures. Key qualifications include expertise in cloud platforms like AWS and Azure, strategic architecture skills, and the ability to communicate complex concepts effectively. The role offers a competitive salary and benefits, including holidays and health insurance.

Accenture is seeking a Technology, Strategy & Advisory Enterprise Architect Manager for Banking in London, Manchester, Edinburgh. The role combines business strategy, technology, and industry transformation to shape reinvention agendas and guide major investment decisions. You will collaborate with executives, engineers, product teams and partners, translating ambitions into architectural direction and governance, balancing long-term vision with near-term feasibility.

Role: Technology, Strategy & Advisory, Enterprise Architect Manager - Banking Location: London, Manchester, Edinburgh Industry: Financial Services - Banking Mobility: Up to 100% Career Level: Manager Joining the team means becoming part of a community of Enterprise Architects operating at the intersection of business strategy, technology, and industry transformation within the Banking sector. Our role goes beyond designing target architectures: we help senior leaders frame complex problems, explore strategic options, and make informed decisions in environments characterised by scale, regulation, legacy technology, and ongoing change. We work closely with executives, engineers, product teams, and third party partners to translate evolving business ambitions into coherent architectural direction. This frequently involves navigating ambiguity, challenging established norms, and balancing long term vision with near term feasibility. Positioned within Accenture's Strategy & Advisory practice, our Enterprise Architects combine deep industry context with architectural judgement to shape reinvention agendas, guide major investment decisions, and support delivery at pace. We collaborate globally to bring the most relevant insights, technologies, and practices to our clients as their needs evolve. Our research based advice and situational analyses enable our clients to act with speed and confidence. Responsibilities Shaping enterprise architectural direction in response to business strategy, industry dynamics, and regulatory context, helping clients understand implications, options, and trade offs across organisation, applications, data, infrastructure, and operations. Translating complex technology environments into clear architectural roadmaps and value cases that support executive decision making and investment prioritisation, applying Lean and Agile enterprise principles to enable incremental and sustainable change. Guiding architectural decisions across multi vendor ecosystems, working effectively between business, technology, and third party stakeholders to align on key architectural outcomes. Providing enterprise level architecture governance that enables delivery and strategic alignment while managing risk, ensuring new initiatives support business objectives without constraining progress. Supporting the definition and evolution of enterprise architecture operating models, including maturity assessments and implementation roadmaps as part of broader transformation programmes. Leading workstreams and small teams, coaching junior architects and taking accountability for outcomes, not just architectural artefacts, within client engagements. Qualifications Have experience operating across all enterprise architecture domains including business, application, data, and technology, within large scale, complex transformation programmes, ideally in the Banking sector. Bring strong architectural judgement, enabling them to work across different levels of abstraction, engage credibly with senior stakeholders, and influence key decisions. Are comfortable working in multi disciplinary teams and navigating complex stakeholder environments to reach aligned outcomes. Demonstrate the ability to apply emerging technologies, especially in data, AI, cloud and automation, decisively to advance enterprise level objectives. Set yourself apart You bring depth of experience in Banking processes and technology landscapes, gained through enterprise or solution architecture roles on complex modernisation or reinvention programmes. You have applied business capability models, process frameworks, maturity assessments, and architectural methods to identify gaps and shape technology enabled change. You are familiar with leading enterprise platforms, data architectures, and enterprise architecture tools commonly used in large scale transformation initiatives. You offer relevant consulting experience, certifications, or exposure to major initiatives such as application rationalisation, platform transformation, or enterprise data modernisation that strengthens your advisory credibility. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for.