10 hours ago
Base Salary
$103k - $163k/yr
Responsibilities
- Architect and develop enterprise-scale Generative AI applications using LLMs, RAG, structured data, workflow automation, and intelligent orchestration.
- Design and implement agentic AI solutions with memory management, tool integration, and human-in-the-loop workflows.
- Build scalable and fault-tolerant workflow orchestration solutions.
- Define AI platform architectures covering model routing, prompt lifecycle management, observability, experimentation, governance, and production deployment.
- Establish evaluation frameworks including offline testing, regression analysis, trace diagnostics, and business outcome measurement.
- Lead end-to-end product delivery through architecture, development, deployment, and operational support.
- Define engineering best practices for scalability, performance, reliability, security, and maintainability.
- Mentor engineering teams and promote technical excellence and innovation.
Requirements
- 12+ years of experience designing and delivering large-scale distributed systems, enterprise platforms, or complex software applications.
- Production experience delivering AI and LLM-powered solutions, including agentic AI systems, RAG platforms, intelligent automation, or conversational AI applications.
- Deep expertise with Generative AI technologies, OpenAI models, prompt engineering, vector databases, retrieval frameworks, and AI orchestration patterns.
- Hands-on experience with LangGraph, LangChain, AutoGen, or similar agent development frameworks.
- Strong full-stack engineering experience with ReactJS, Node.js, and modern application architecture.
- Ability to define technical strategy, influence architecture decisions, and mentor engineering teams.
- Strong software engineering fundamentals in system design, scalability, testing, performance optimization, and code quality.
- Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Experience with AI governance, observability, monitoring, evaluation frameworks, workflow orchestration technologies such as Temporal, model experimentation, prompt versioning, AI production rollout strategies, and cloud-native architectures is preferred.
Benefits
- Remote position open to qualified applicants in the United States.
- 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.
- Eligible for a discretionary annual incentive program based on performance.
- Applications accepted until October 9, 2026; interviews may be conducted in person or by video conference.
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About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.