3 days ago
Bengaluru, IndiaSenior / Staff+
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 OpenAI, Anthropic, Vertex AI, and open-source models 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.
- Work directly with client engineering teams through 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 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 management.
- 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, infrastructure as code, and production debugging and observability.
- Strong Python, Java, or equivalent backend-language experience.
- Experience shipping multiple production agentic systems is preferred over passive AI exposure.
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.