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. /p pThe 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. /p pAs 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. /p pThis 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. /p h3Key Responsibilities /h3 ul liDesign and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability; /li liBuild and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets; /li liIntegrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management; /li liImplement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring; /li liEmbed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs; /li liBuild reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster; /li liDefine and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms. /li liExtensive years of software engineering experience in production environments; /li liHands‑on experience designing and deploying agentic AI solutions in a production environment — non‑negotiable; /li liDemonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level; /li liDirect experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs; /li liRAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering; /li liLLMOps fundamentals: eval harness design, prompt versioning, and production observability; /li liCloud‑native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm); /li liStrong Python; Java or equivalent backend language acceptable; production debugging and observability experience; /li liQuality 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. /li /ul h3What We Offer /h3 ul liA workplace culture that celebrates diversity, inclusion, and a sense of belonging. /li liExtensive learning and development opportunities to help you continuously build your skills and advance your career. /li liDedicated mentoring and structured onboarding to support your professional growth from day one. /li liThe flexibility to work where you can make the greatest impact: from an Accenture office, remotely, or directly with clients. /li /ul h3The Accenture Culture: Here, YOU are the catalyst for change /h3 pYour 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