Agentic AI Engineer

Agentic AI Engineer , you will make an impact by designing, developing, and deploying advanced AI agents and agentic systems that leverage Large Language Models (LLMs) to solve complex business challenges. You will be a valued member of our AI Engineering team and work collaboratively with data scientists, machine learning engineers, product managers, architects, and business stakeholders to deliver innovative AI‑driven solutions.

Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Design and develop autonomous AI agents capable of reasoning, planning, and executing complex multi‑step tasks using leading LLM technologies.

Build and orchestrate agentic workflows and multi‑agent systems using Lang Graph, enabling stateful execution, memory management, and agent collaboration.

Develop Retrieval‑Augmented Generation (RAG), tool‑calling, and function‑calling solutions using Lang Chain and related frameworks.

Architect and integrate AI agents with enterprise systems, APIs, databases, and vector stores such as Pinecone, Chroma, Weaviate, and FAISS.

Implement memory frameworks including short‑term, long‑term, semantic, and episodic memory for intelligent agent behavior.

Design prompt engineering strategies and optimize LLM performance for accuracy, reliability, scalability, and cost efficiency.

Develop guardrails, validation layers, and human‑in‑the‑loop workflows to ensure safe and reliable AI solutions.

Create and maintain evaluation frameworks to assess agent effectiveness, hallucination rates, and task completion metrics.

Deploy AI applications to production environments using AWS, Azure, or GCP, leveraging Docker, Kubernetes, and CI/CD pipelines.

Monitor, troubleshoot, and optimize production AI systems for performance, latency, scalability, and token utilization.

Collaborate with cross‑functional teams to translate business requirements into innovative AI‑powered solutions.

Stay current with emerging developments in agentic AI, LLMs, frameworks, and industry best practices.

This is an onsite position based in Louisville, Kentucky, requiring attendance at the client or Cognizant office 5 days per week. Candidates should be comfortable working in a collaborative, office‑based environment and partnering closely with cross‑functional teams and stakeholders.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

8+ years of experience in software engineering, AI engineering, machine learning, or related technology roles.

Strong experience building solutions using Large Language Models (LLMs), Generative AI, and Agentic AI frameworks.

Hands‑on expertise with Lang Chain and Lang Graph for developing agentic workflows and multi‑agent solutions.

Strong programming experience in Python and modern software development practices.

Experience designing and implementing Retrieval‑Augmented Generation (RAG) architectures.

Experience integrating AI solutions with APIs, databases, enterprise applications, and vector databases.

Experience deploying applications in cloud environments such as AWS, Azure, or GCP.

Familiarity with Docker, Kubernetes, CI/CD pipelines, and production‑grade application deployment.

Strong analytical, problem‑solving, and collaboration skills.

Experience with multi‑agent architectures and agent‑to‑agent communication frameworks.

Experience implementing memory management strategies for AI agents.

Knowledge of Responsible AI, AI governance, and AI safety best practices.

Experience evaluating and optimizing LLM outputs, token consumption, latency, and overall cost.

Familiarity with MLOps and AI application monitoring frameworks.

Experience working with open‑source LLMs and emerging agentic AI technologies.

The annual salary for this position is between depends on experience and other qualifications of the successful…