19 hours ago
Chennai, IndiaSenior
Responsibilities
- Design and build production-grade agentic systems end-to-end, 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 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 design, prototype, and deploy agentic solutions through workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
- Create reusable engineering patterns, accelerators, and playbooks for future client engagements.
- Define and use 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 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.
- 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, CI/CD, and infrastructure as code using Terraform or Helm.
- Strong Python, Java, or equivalent backend-language experience, along with production debugging and observability experience.
- Demonstrated experience shipping multiple production agentic systems is preferred over passive AI exposure.
- 15 years of full-time education is required.
Tech Stack
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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.