3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build production-grade agentic AI systems with multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability.
- Own RAG pipelines, including embeddings, chunking strategies, vector search, context-window engineering, and quality tuning.
- Integrate multiple LLM providers with 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 deliver workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
- Build reusable patterns, accelerators, and playbooks for future client engagements.
- Define metrics for agent accuracy, latency, safety, and cost-effectiveness and communicate findings to client stakeholders.
Requirements
- At least 5 years of production software engineering experience; the stated range is 5–7.5 years.
- At least 1 year of hands-on experience designing and deploying agentic AI solutions in production.
- Production-depth experience with LangGraph, CrewAI, AutoGen, or an equivalent agentic orchestration framework.
- Production experience calling OpenAI, Anthropic, or Vertex AI APIs, including provider abstraction and token, latency, and cost tradeoffs.
- Experience owning RAG pipelines involving embeddings, chunking, 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, serverless systems, and infrastructure-as-code using Terraform or Helm.
- Strong Python or Java backend development experience, including production debugging and observability.
- Experience shipping multiple production agentic systems is preferred over passive or generalist AI exposure.
- 15 years of full-time education is required.
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.