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 strategy, vector search, context-window engineering, and quality tuning.
- Integrate multiple LLM providers with abstraction, fallback routing, token management, and latency and cost controls.
- 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, technical design sessions, and architecture walkthroughs.
- Create reusable engineering patterns, accelerators, and playbooks for future client engagements.
- Define and analyze metrics for agent accuracy, latency, safety, and cost-effectiveness, and communicate recommendations to client stakeholders.
Requirements
- 5–7.5 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 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.
- Ownership of RAG pipelines involving embeddings, chunking strategy, 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 Python, Java, or equivalent backend-language experience, along with production debugging and observability experience.
- Demonstrated experience shipping production agentic systems is valued more highly than passive AI exposure or years of experience alone.
- 15 years of full-time education.
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.