AI Engineer

Position Overview

We are seeking an experienced AI Engineer to develop and deploy production-grade artificial intelligence solutions for client organizations. This role focuses on building AI agents and retrieval-augmented generation pipelines, integrating them with enterprise systems, evaluating deployed AI systems, and enabling client teams through technical partnership.

Key Responsibilities

• Embed with client domain teams to identify high-value AI opportunities, map pain points to platform capabilities, and validate feasibility before solutioning.
• Design, build, and deploy AI agents using agentic frameworks (LangGraph, CrewAI, Google ADK) with tool use, memory, structured outputs, and error recovery.
• Build retrieval-augmented generation (RAG) pipelines grounded in client enterprise data — designing context engineering and memory architectures for multi-turn and multi-agent workflows.
• Integrate AI solutions with client enterprise systems via APIs, MCP tool gateways, CRM, billing, and operational platforms — handling authentication, rate limiting, and production-grade error handling.
• Define success metrics in partnership with client stakeholders, build evaluation harnesses, and establish continuous benchmarking and quality monitoring for deployed AI systems.
• Serve as a trusted technical partner to client teams — run workshops, pair-program with domain engineers, and drive AI adoption and enablement on the ground.
• Surface platform gaps, friction, and feature requests back to Cognizant's AI architecture and engineering teams to improve reusable offerings.