Enterprise AI Engineer - RAG & Agentic Deployments

TechDigital Group; Town of Texas (WI); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Cognizant is seeking an AI Engineer to embed with client teams and identify high-impact AI opportunities. You will design and deploy AI agents, craft RAG pipelines, and integrate solutions across enterprise systems using APIs and gateways.

The role emphasizes collaboration, memory-augmented workflows, and the ability to explain AI trade-offs to stakeholders. Strong Python and LLM experience are required.

Qualifications

• 3–5 years of AI/ML experience.
• Master's degree in CS/AI/DS; PhD preferred.
• Strong production-grade Python programming skills.
• Hands-on with LLMs (GPT, Claude, Gemini) and prompt engineering.
• Experience designing and deploying RAG pipelines (embeddings, vector DBs, reranking).
• Familiarity with LangGraph, LangChain, CrewAI, Google ADK.
• Working knowledge of REST APIs, cloud platforms (AWS/Azure/GCP), Git, Docker.
• Strong analytical, problem-solving, and communication skills.
• Consultative mindset for ambiguous environments.

Responsibilities

• Embed with client domain teams to identify high-value AI opportunities.
• Design, build, and deploy AI agents with memory and tool use.
• Build retrieval-augmented generation pipelines grounded in client data.
• Integrate AI solutions with client enterprise systems via APIs and gateways.
• Define success metrics and establish continuous benchmarking.
• Run workshops and pair-program with domain engineers.
• Surface platform gaps back to Cognizant teams for reusable improvements.

Skills

Production-grade Python

LLMs & prompt engineering

Agentic workflow design

RAG pipelines design

REST APIs

Cloud platforms (AWS/Azure/GCP)

Git & Docker

Analytical thinking & communication

Consultative mindset

Education

Master's degree in CS/AI/DS

PhD preferred

Related field MS/PhD

Tools

LangGraph

LangChain

CrewAI

Google ADK

Embeddings & vector databases

APIs & integration

Job description

Cognizant is seeking an AI Engineer to embed with client teams and identify high-impact AI opportunities. You will design and deploy AI agents, craft RAG pipelines, and integrate solutions across enterprise systems using APIs and gateways.

The role emphasizes collaboration, memory-augmented workflows, and the ability to explain AI trade-offs to stakeholders. Strong Python and LLM experience are required.