3 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design and build production-grade agentic 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, and cost 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.
- Develop reusable patterns, accelerators, playbooks, and metrics for agent accuracy, latency, safety, and cost-effectiveness.
Requirements
- At least 7.5 years of production software engineering experience.
- 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, AutoGen, or equivalent.
- Production experience calling OpenAI, Anthropic, or Vertex AI APIs, including provider abstraction and token, latency, and cost management.
- Experience owning RAG pipelines, embeddings, chunking strategies, vector databases, and context engineering.
- Knowledge of 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 Python, Java, or equivalent backend-language experience, including production debugging and observability.
- A minimum of 15 years of full-time education is required.
- Candidates with multiple shipped production agentic systems are preferred over candidates with only 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.