6 days ago
Bengaluru, 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, cost monitoring, and safety monitoring.
- Embed with client engineering teams to lead technical design sessions, workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
- Create 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 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, or AutoGen.
- 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, vector databases, and context engineering.
- Experience with LLMOps fundamentals, including evaluation harnesses, 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.
- Candidates who have shipped multiple production agentic systems are preferred over candidates with only general or passive AI exposure.
- Completion of 15 years of full-time education.
Tech Stack
AngularC#DockerGraphQLHelmJavaJavaScriptKubernetes.NETPythonReactSpring BootSQLTerraformTypeScriptVue.js
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.