13 hours ago
Base Salary
$120k - $145k/yr
Responsibilities
- Design, develop, deploy, and support enterprise Generative AI solutions using Large Language Models.
- Build intelligent document processing and AI-assisted authoring capabilities, including document extraction, classification, validation, knowledge retrieval, and content generation.
- Design and optimize RAG architectures, embedding strategies, vector search, semantic retrieval, grounding mechanisms, and retrieval pipelines.
- Implement prompt engineering and evaluate and improve AI and retrieval effectiveness.
- Develop scalable APIs and microservices using Python and FastAPI for AI applications and integrations.
- Build and maintain AWS cloud-native AI solutions using AWS Bedrock, AWS Lambda, Amazon S3, and Amazon RDS.
- Create and execute functional, integration, AI quality validation, and performance tests; support model evaluation, monitoring, and continuous improvement.
- Troubleshoot production issues and implement long-term solutions.
- Apply enterprise security, Responsible AI, privacy, compliance, auditability, and governance controls.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field, or equivalent work experience.
- Strong hands-on experience developing enterprise AI/ML solutions.
- Expertise with Python, FastAPI, and REST APIs.
- Experience with Large Language Models, Generative AI, prompt engineering, and Retrieval-Augmented Generation.
- Strong understanding of embeddings, vector databases, semantic search, and knowledge retrieval.
- Hands-on experience with AWS Bedrock, AWS Lambda, Amazon S3, and Amazon RDS.
- Experience with PostgreSQL, Git, Docker, and CI/CD pipelines.
- Preferred experience includes enterprise Generative AI applications, Intelligent Document Processing, semantic search, knowledge retrieval systems, AI authoring applications, LangChain, LangGraph, AI evaluation frameworks, model monitoring, and AI governance.
- Experience in Life Sciences, Pharmaceutical, Healthcare, or other regulated industries and familiarity with cloud-native architecture patterns and microservices frameworks are preferred.
- Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills are required.
Benefits
- Fully remote within the United States, with occasional travel for client meetings, planning sessions, collaboration events, and strategic initiatives.
- Medical, dental, vision, prescription drug, life, and disability coverage.
- Employee Assistance Program, paid vacation, and company holidays.
- Retirement savings programs, parental and family support benefits, and employee wellness programs, subject to eligibility.
- Tuition reimbursement, professional development, training, certification, and career development opportunities, subject to eligibility.
Tech Stack
Categories
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.