Applied AI Forward Deployed Engineer – Associate Manager

Applied AI Forward Deployed Engineer – Associate Manager

London

Career Level 8

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

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. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“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 with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

Deliver production-quality work - Build and ship AI applications inside client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability.

Develop technical assets - Create reusable, production-ready artefacts including MCP servers, sub-agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows.

Support enterprise deployments - Play a key technical in rollouts of frontier AI capabilities, ensuring smooth integration with existing IT infrastructure and processes.

Accelerate adoption - Work shoulder-to-shoulder with client engineering and product teams to drive meaningful AI adoption, removing blockers and closing skill gaps in real time.

Identify patterns and scale - Recognise repeatable deployment patterns across engagements and contribute those insights back to Accenture's I&E FDE practice and our model provider partners to continuously improve our delivery playbook.

Maintain cutting-edge expertise - Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies, and the AI product development ecosystem. Potentially helping to define the learning path for others as the area grows

Build strong relationships - Develop trusted working relationships with client teams and AI ecosystem partners, proactively contributing to new opportunities for AI value creation throughout the engagement lifecycle.

Represent Accenture in the field - Champion responsible, safe AI deployment and uphold Accenture's standards in every client interaction.

Experience

4–6 years of experience in a technical role with client-facing or consulting exposure - Software Engineer, Solutions Engineer, technical consultant, or equivalent.

Experience contributing to the delivery of production applications with real business impact, ideally in enterprise environments.

Practical experience working with large language models (ideally in a enterprise or start-up setting): prompt engineering, agent development, RAG pipelines, evaluation frameworks, workflows, and deployment.

Technical Skills

Solid programming proficiency (we are open to any experience but primary languages include: TypeScript and the JavaScript ecosystem, Python and Java).

Hands-on experience building and deploying AI agents or multi-agent systems.

Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns.

Consulting & Client Skills

High agency; comfortable navigating ambiguity, working across complex organisations, and contributing without a well-defined playbook.

Strong communication skills; able to participate in technical discovery, support stakeholder alignment, and translate AI concepts for non-technical audiences.

Collaborative mindset with the ability to balance competing priorities while maintaining integrity and a team-first approach.

Preferred

Domain exposure in media, or another enterprise vertical.

Familiarity with AI safety, responsible AI frameworks, or enterprise AI governance.

Familiarity with AI deployment infrastructure and MLOps tooling.

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