Agentic AI Engineer

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 new 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