6 days ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Orchestrate multi-agent coding pipelines and integrate agent outputs into production environments.
- Specify intent prompts for AI coding agents and review and validate AI-generated code for quality and correctness.
- Design and build RAG pipelines, vector stores, and knowledge bases for grounded agent performance.
- Deploy and operate LLMs and agents in production, monitor drift, and implement safety guardrails.
- Build AI-embedded workflows and applications using enterprise AI builders and automation platforms.
- Automate L1/L2 operations using AIOps tooling and intelligent incident routing.
- Own AI-native systems end to end and deliver measurable customer outcomes in a small Frontier pod.
Requirements
- 3–10 years of technical delivery experience with strong AI-tool fluency.
- Experience with agentic coding and multi-agent orchestration using LangChain, AutoGen, or LangGraph.
- Knowledge of prompt and intent engineering, AI-generated code validation, RAG pipeline design, and vector database management.
- Experience with LLMOps, model lifecycle management, guardrail implementation, AIOps, observability, and CI/CD for AI systems.
- Full-stack delivery capabilities spanning development, infrastructure, cloud, production operations, domain context, and AI foundations.
- Pass the Frontier CoE assessment and complete the four-week build bootcamp.
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About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant