Applied AI Engineer (all genders)

ppYou build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. /ppAs an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. /ppThis role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. /ph3Key Responsibilities /h3ullipDesign and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability; /p /lilipBuild and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets; /p /lilipIntegrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management; /p /lilipImplement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring; /p /lilipEmbed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs; /p /lilipBuild reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster; /p /lilipDefine and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms. /p /li /ulullipExtensive years of software engineering experience in production environments; /p /lilipHands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable; /p /lilipDemonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level; /p /lilipDirect experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs; /p /lilipRAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering; /p /lilipLLMOps fundamentals: eval harness design, prompt versioning, and production observability; /p /lilipCloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm); /p /lilipStrong Python; Java or equivalent backend language acceptable; production debugging and observability experience; /p /lilipQuality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure. /p /li /ulpWhat We Offer /pullipA workplace culture that celebrates diversity, inclusion, and a sense of belonging. /p /lilipExtensive learning and development opportunities to help you continuously build your skills and advance your career. /p /lilipDedicated mentoring and structured onboarding to support your professional growth from day one. /p /lilipThe flexibility to work where you can make the greatest impact: from an Accenture office, remotely, or directly with clients. /p /li /ulpbThe Accenture Culture: Here, YOU are the catalyst for change /b /ppYour skills, personality, and ambitions make you unique. And when diverse talents, strengths, and perspectives come together, something extraordinary happens: ideas that create real impact in the world. That's why, at Accenture, we champion diversity and individual growth. Create a work environment where you can thrive. Take on challenges that matter to you. Shape a workload that fits your life. Work in ways that support your goals. How you connect, learn, and grow is up to you. This is your career. We're here to help you build it the way you envision it. /p /p #J-18808-Ljbffr