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 fallback routing and token, cost, and latency management.
- Implement production LLMOps through 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.
- Create reusable patterns, accelerators, and playbooks for future client engagements.
- Define metrics and communicate recommendations on agent accuracy, latency, safety, and cost-effectiveness 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 agentic orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
- 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 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, 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.
- Experience shipping multiple production agentic systems is preferred over generalist experience with passive AI exposure.
- 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.