3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build production-grade agentic systems, including multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability.
- Own RAG pipelines covering embeddings, chunking strategy, vector search, context-window engineering, and quality tuning.
- Integrate multiple LLM providers with provider abstraction, fallback routing, and token, cost, and latency management.
- Implement production LLMOps, including evaluation harnesses, prompt versioning, observability, cost monitoring, and safety monitoring.
- Embed with client engineering teams to lead workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
- Create reusable patterns, accelerators, and playbooks for future client engagements.
- Define metrics for agent accuracy, latency, safety, and cost-effectiveness and present recommendations to client stakeholders.
Requirements
- 7.5–10 years of software engineering experience in production environments.
- At least one year of hands-on experience designing and deploying agentic AI solutions in production.
- Production-depth experience with agentic orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
- Production experience calling OpenAI, Anthropic, or Vertex AI APIs, including provider abstraction and token, latency, and cost management.
- Ownership of RAG pipelines involving embeddings, chunking strategy, vector databases, and context engineering.
- Experience with LLMOps fundamentals such as evaluation harnesses, prompt versioning, and production observability.
- Cloud-native engineering experience with Kubernetes, Docker, microservices, serverless systems, CI/CD, and infrastructure as code using Terraform or Helm.
- Strong Python, Java, or equivalent backend-language experience, including production debugging and observability.
- Preference for candidates with substantial shipped production agentic AI experience; quality of experience is weighted more heavily than years alone.
- 15 years of full-time education.
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.