4 days ago
Louisville, KY, USASenior
Responsibilities
- Design and develop autonomous AI agents capable of reasoning, planning, and executing complex multi-step tasks.
- Build and orchestrate stateful agentic workflows and multi-agent systems using LangGraph.
- Develop RAG, tool-calling, and function-calling solutions using LangChain and related frameworks.
- Integrate AI agents with enterprise systems, APIs, databases, and vector stores including Pinecone, Chroma, Weaviate, and FAISS.
- Implement short-term, long-term, semantic, and episodic memory frameworks.
- Design prompt strategies and optimize LLM accuracy, reliability, scalability, and cost efficiency.
- Develop guardrails, validation layers, human-in-the-loop workflows, and evaluation frameworks for AI systems.
- Deploy, monitor, troubleshoot, and optimize production AI applications for performance, latency, scalability, and token utilization.
- Collaborate with data scientists, machine learning engineers, product managers, architects, and business stakeholders to deliver AI-powered solutions.
- Stay current with developments in agentic AI, LLMs, frameworks, and industry best practices.
Requirements
- At least 8 years of experience in software engineering, AI engineering, machine learning, or related technology roles.
- Strong experience building solutions with LLMs, Generative AI, and Agentic AI frameworks.
- Hands-on expertise with LangChain and LangGraph for agentic workflows and multi-agent solutions.
- Strong programming experience with Python and modern software development practices.
- Experience designing and implementing RAG architectures.
- Experience integrating AI solutions with APIs, databases, enterprise applications, and vector databases.
- Experience deploying applications in AWS, Azure, or GCP.
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade application deployment.
- Strong analytical, problem-solving, and collaboration skills.
- Preferred experience with multi-agent architectures, agent-to-agent communication, AI agent memory management, Responsible AI, AI governance, AI safety, LLM evaluation and optimization, MLOps, AI application monitoring, open-source LLMs, and emerging agentic AI technologies.
Benefits
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Discretionary annual incentive program based on performance and applicable plan terms.
- Onsite work in Louisville, Kentucky, five days per week at the client or Cognizant office.
Categories
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant