Manager - AI Native (Agentic AI Engineer)

About the role

Accenture is hiring an AI Engineer (Agentic/Applied) in Braga to design, build and deploy production-grade agentic AI systems across the full enterprise technology stack. The role works directly with client engineering teams, leads technical design sessions and builds reusable patterns and accelerators that scale beyond individual engagements.

Key responsibilities

• Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration, RAG pipelines, policy-based routing, memory management and programme-level observability.
• Define RAG pipeline standards: chunking and embedding strategies, quality benchmarks and documented, metric-backed tradeoffs.
• Set multi-LLM integration standards with vendor-agnostic architecture, fallback routing and cost governance across OpenAI, Anthropic, Vertex AI and open-source models.
• Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling, safety monitoring and cost controls.
• Lead client engineering engagements at senior level, including architecture design sessions and proof-of-concept delivery.
• Shape reusable patterns, accelerators and engineering standards, and own the measurement framework for accuracy, latency, safety and cost.

Required profile

• Production software engineering experience; hands-on experience designing and deploying agentic AI solutions is non-negotiable.
• Demonstrated experience with agentic orchestration frameworks such as LangGraph, CrewAI or AutoGen at production depth.
• Experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code, with provider abstraction, token management and cost tradeoffs.
• RAG pipeline ownership: embeddings, chunking strategy, vector databases and context engineering.
• LLMOps fundamentals: eval harness design, prompt versioning and production observability.
• Experience managing, developing and performance-managing a team of engineers.
• Quality of experience is weighted over years; having shipped three production agentic systems in four years is preferred.

Required skills

• Cloud-native engineering: Kubernetes, Docker, microservices, serverless, CI/CD and IaC (Terraform or Helm).
• Strong Python; Java or an equivalent backend language is acceptable.
• Production debugging and observability experience.