3003 Accenture (UK) Limited Company

We are a forward thinking services company at the forefront of AI native innovation. We partner with enterprise clients to create next generation, agent powered workflows engineered to scale in real world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are an AI Native Engineer with a strong foundation in building cloud native solutions and hands on experience designing and deploying agentic systems, especially for enterprise environments. You're a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. You'll shape how enterprises adopt AI native engineering by leading complex agentic solutions or owning critical technical areas end to end as a senior IC. Responsibilities Partner directly with client stakeholders - acting as both technologist and trusted advisor. Define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Agent Architecture & Engineering Design: build enterprise ready AI agents incorporating retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability. Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly. AI Platform Integration: develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud Native Engineering: leverage containerization (Kubernetes, Docker), microservices, serverless, event driven architectures, CI/CD, and observability stacks to deliver scalable AI native systems. Own deployment, monitoring, and troubleshooting for your services in production. Domain Specific Workflows: tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain specific processes and constraints. Client Engagement: participate in and/or lead design workshops, POCs, and code with sessions to shape data driven agent workflows with stakeholders, fostering trust and adoption. Communicate trade offs, risks, and recommendations clearly to both technical and non technical audiences. Measure & Improve: define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness; iterate rapidly based on data, feedback, and changing requirements. Knowledge Sharing: craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps; contribute to internal communities of practice around AI native and agentic engineering. Travel may be required for this role, ranging from 25% to 75% depending on business need and client requirements. Qualifications Engineering experience with cloud native systems (APIs, microservices, containerization, serverless). Minimum 1 year of hands on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near production environments. Experience with modern AI platforms - OpenAI, Claude, Vertex AI, or open source models - including building or using abstraction layers for multi provider pipelines. Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm). Experience in client facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity. Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience). Bonus Points If You Have Relevant AI certifications or agentic tooling experience. Experience as an Agentic / AI Engineer in an enterprise environment. Built multi agent orchestrations using (Lang graph, Crew AI, Claude SDK, Open AI SDK, etc.). GitHub repo with an agent/plugins you have created. Experience with enterprise grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream based architectures. Understanding the AI native paradigm - blending cloud native with generative model architectures - optimizing for performance, modularity, and efficiency. Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs. Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

3003 Accenture (UK) Limited Company is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and create reusable patterns and accelerators that scale beyond individual engagements. You will own RAG pipelines, integrate across multiple LLM providers, and implement LLMOps in production with robust observability and cost

Accenture is seeking an AI Native Engineer to design, build and run agentic AI systems for enterprise environments. You will embed with client teams, shaping deployments from prototype to production across cloud-native stacks, orchestration, and observability. You will lead technical discussions, craft reusable patterns, and deliver robust, secure workflows using OpenAI, Anthropic, or other providers, with a strong emphasis on performance and cost efficiency.

3003 Accenture (UK) Limited Company is looking for a Cloud Operations Engineer based in Cheltenham. This role supports critical national infrastructure in a 24/7/365 environment, providing frontline support and troubleshooting for cloud users. Candidates should have experience with Linux, Terraform, and Kubernetes. In addition to a competitive salary, the role offers benefits such as up to 25 days vacation and private medical insurance. Applicants must have a history of five continuous years in the UK and be willing to secure BPSS and SC clearance.

Role: Cloud Operations Engineer Location: Cheltenham Salary: Competitive salary and package dependent on experience; includes shift premium for unsociable hours. Career Level: Analyst & Senior Analyst Security Clearance: Offer of employment subject to satisfactory BPSS and SC clearance. Requires 5 years continuous UK address history and declaration of being a British passport holder with no dual nationality. The Accenture Secure Cloud Infrastructure Support team operates in an internet disconnected environment to support critical national infrastructure for a secure government client. The role includes a 24/7/365 rota, with a shift premium for non standard hours. Responsibilities Provide frontline support to secure cloud users, troubleshooting and resolving critical technical issues. Manage tickets that track user queries and support requests, documenting effective diagnosis, resolution, or escalation. Develop product knowledge in cutting edge air gapped cloud technology to support users with how to questions. Support internal reviews to identify opportunities for continuous improvement and reduce toil. Follow documented runbooks and procedures for high priority incident management for potential UK critical workloads. Qualifications Experience working with computer systems and networks, specifically Linux. Willingness to learn deep skills in air gapped cloud architecture and operations. Experience in a production support or operations role ensuring a live service for users. Experience with IaC tools including Terraform. Experience with Kubernetes. Experience troubleshooting issues and identifying potential bugs or failures. Experience understanding network architectures and troubleshooting network related issues using Linux tools. Benefits Competitive basic salary. Up to 25 days vacation per year. Private medical insurance. 3 extra days leave per year for charitable work of choice. Application Information Closing Date for Applications: 31st May 2026. Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis protected by applicable law. We offer support in any way we can, helping employees thrive and create value.

3003 Accenture (UK) Limited Company is seeking a Customer AI Developer Specialist to deliver impactful Machine Learning (ML) and Generative AI solutions across various industries. You'll solve complex business problems and deploy scalable AI models. The role offers a competitive salary, annual performance bonuses, flexible work policies, and a range of health benefits. A degree in Data Science or a related field is advantageous, along with experience in deploying AI models.

Overview Position: Customer AI Developer Specialist Career Level: Consultant (CL9) Location: London/Manchester We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team is: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Customer AI Developer Specialist, you will Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection of data science, technology, and business strategy. Key responsibilities Machine Learning (ML) & AI Development - Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics; design and run experiments with generative AI models across text, images, audio, and video; consult on and implement algorithms for content generation; define strategies to embed, scale, and optimize ML models in production environments; stay up-to-date with emerging research and techniques in AI and ML. Business Impact & Collaboration - Understand business requirements and support the development of use cases; run discovery analytics to identify opportunities for innovation; partner with engineers to deploy ML algorithms that deliver measurable value; contribute to sales activities by providing data science insights and shaping solutions; communicate technical concepts clearly to senior client leadership and non-technical teams. Innovation & Thought Leadership - Build reusable assets and best practices to support future business problems; consult on complex data science analyses and delivery models; shape overall data science strategy and guide delivery excellence; operate across industries and functions to apply ML to diverse challenges; mentor team members and share expertise with the broader practice. What's in it for you Competitive basic salary Annual performance bonus Opportunities to acquire equity Wide range of health and wellbeing benefits 25 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice Family-friendly and flexible work policies Attractive pension plan with financial wellbeing support and resources Private healthcare insurance plan and Mental Wellbeing support Employee Assistance Programme, Career Development and Counselling A range of generous Parental Leave offerings About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you'll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that's why we offer support any way we can-when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. World. Explore your next step at Accenture

Job Summary Transformation Change Manager - Locations: London, Manchester, Edinburgh - Career Level: Manager (CL7) Responsibilities Deliver enterprise transformational change projects underpinned by technology such as SAP, Oracle, SuccessFactors, Workday, and Salesforce. Manage key elements of the change lifecycle: business transformation vision, leadership engagement, change planning, culture and behaviour change, communications, behavioural and data science, change measurement, operating model and technology enablers. Lead change impact assessment teams, build and oversee intervention plans. Develop and deliver communication strategies, storytelling, and digital & AI enabled tools. Conduct learning needs analysis and build learning strategies and content. Support growth of the Change consulting practice through innovation, capability growth and thought leadership. Qualifications & Experience Proven track record managing enterprise transformational change programmes, ideally underpinned by SAP S/4, Oracle, Workday, SuccessFactors or Salesforce. Strong consulting acumen with excellent communication, facilitation and data analysis skills. Experience managing stakeholders and influencing others. Leadership experience and ability to coach and develop teams. Strong business acumen and ability to navigate client business context. Passion for innovation, technology trends and data driven change. Experience in agile methodologies and evolving technologies. Competencies Forward thinking with strong business insight. Drive, determination and entrepreneurial mindset. Commitment to continuous learning and team development. Comfortable with travel and working away from home as required. Benefits Competitive basic salary. 30 days' vacation per year. Private medical insurance. 3 extra days of leave per year for charitable work. Flexibility and mobility required for onsite client delivery. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of differences. All employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis protected by applicable law.