19 hours ago
Chennai, 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 and abstract across OpenAI, Anthropic, Vertex AI, and open-source models 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 lead technical design sessions, workshops, proofs of concept, code-with sessions, deployments, and architecture walkthroughs.
- Build reusable patterns, accelerators, and playbooks that scale across client engagements.
- Define and analyze metrics for agent accuracy, latency, safety, and cost-effectiveness, and present recommendations 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, token management, and latency and cost tradeoffs.
- Experience owning RAG pipelines involving embeddings, chunking strategies, vector databases, and context engineering.
- Experience with LLMOps fundamentals, including evaluation harness design, 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 production debugging and observability experience with Python, Java, or an equivalent backend language.
- 15 years of full-time education.
- Candidates with multiple shipped production agentic systems are preferred over candidates with only passive AI exposure.
Benefits
- Exposure to projects across industries, enterprise technology stacks, and organizational environments.
- Vendor fellowship access within Anthropic, OpenAI, Microsoft, and Google engineering teams.
- A direct pathway to the Forward Deployed Engineer program.
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.