18 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design agent workflows, orchestration, tool use, memory, retrieval, and human-in-the-loop patterns.
- Translate business requirements into scalable technical designs and build working reference implementations.
- Integrate agents with enterprise APIs, databases, workflow systems, and identity platforms.
- Define evaluation, tracing, guardrails, failure recovery, and operational monitoring practices.
- Review code and designs, resolve technical risks, and mentor engineers.
- Support production readiness, performance tuning, and incident resolution.
- Architect and optimize AI infrastructure and hardware for performance, power consumption, cost, scalability, and full-stack integration.
Requirements
- At least 7.5 years of experience.
- 15 years of full-time education.
- Must-have experience with Large Language Models (LLMs).
- Hands-on Python proficiency and experience with modern agentic or GenAI frameworks.
- Hands-on experience with LangGraph, OpenAI Agents SDK, Google ADK, PydanticAI, or CrewAI.
- Experience designing and implementing major AI system components that reached production; prototype-only experience does not qualify.
- Experience with RAG, vector and graph retrieval, prompt and context engineering, structured outputs, APIs, queues, containers, cloud deployment, security, observability, model evaluation, latency, and cost controls.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.