Roles & Responsibilities

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Design and deliver agentic AI solutions that automate and enhance data and analytics workflows, taking ideas from prototype to production.

Key Responsibilities
Design and build agentic AI solutions, including multi-agent workflows, tool use, planning, and memory
Develop LLM-powered use cases such as text-to-SQL, data quality agents, pipeline monitoring and self-healing, and documentation automation
Build RAG pipelines and integrate agents with Snowflake (Cortex) and enterprise data sources
Evaluate agent accuracy and reliability, and apply guardrails, observability, and responsible AI practices
Expose agents through APIs and integrate them with existing platform tools and workflows
Prototype recent ideas quickly, run proofs of concept, and take successful ones to production
Track emerging AI trends and recommend tools and approaches suited to the team
Promote AI adoption through demos, documentation, and knowledge sharing

Pay:



₹470,000.00 - ₹2,200,000.00 per year

Application Question(s):
How many years of hands-on experience do you have with the primary skills relevant to this role: Agentic AI, LangChain/LangGraph, LLMs, Python, RAG, vector databases, MCP, and Snowflake Cortex AI?
The role is available at multiple Cognizant locations across India. Which Tier-1 city would you like to be considered for?
What is your official Notice period? Are you serving or immediate joiner?
What is your preferred location: Bengaluru · Mumbai · Pune · Noida · Hyderabad · Kolkata · Gurugram · Chennai
What is your notice period in days? (30)
What is your current CTC in LPA?
What is your expected CTC in LPA? (22)

Experience:
overall: 6 years (Required)
Agentic AI Solutions: 4 years (Required)

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Agentic Ai Engineer Bengaluru (India)
🏢 OptimHire
📍 India