AI/ML Engineer

Cognizant is hiring an AI/ML Engineer – Generative AI Platforms to design, develop, deploy, and support AI-powered document processing and authoring platforms. The role focuses on enterprise Generative AI, LLMs, RAG, semantic search, cloud-native AI architecture, and production-ready solutions.

Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI solutions using Large Language Models (LLMs)
• Build intelligent document processing and AI-assisted authoring capabilities supporting complex business workflows
• Develop and optimize Retrieval-Augmented Generation (RAG) architectures to enhance response quality and contextual relevance
• Implement prompt engineering strategies to improve AI performance, accuracy, and reliability
• Collaborate with product and business teams to translate business requirements into scalable AI solutions
• Develop capabilities for:
• Design workflows that automate document understanding and content creation processes
• Build validation frameworks that improve accuracy, traceability, and confidence in AI-generated outputs
• Support end-to-end lifecycle management of AI-powered document solutions
• Design and optimize embedding strategies for enterprise data and document repositories
• Implement vector search and semantic retrieval solutions to improve knowledge discovery
• Develop grounding mechanisms that ensure AI responses are accurate, contextual, and explainable
• Build and maintain retrieval pipelines that support high-performance search and content generation capabilities
• Evaluate and enhance retrieval effectiveness using modern AI evaluation methodologies
• Design and develop APIs and microservices using Python and FastAPI
• Build scalable and reusable backend services supporting AI applications and integrations
• Develop secure API-based connections between AI platforms, enterprise systems, and third-party applications
• Support microservice deployment, monitoring, maintenance, and optimization activities
• Build and support cloud-native AI solutions leveraging AWS services
• Develop and maintain solutions utilizing:
• Implement scalable, secure, and highly available cloud architectures for AI workloads
• Collaborate with cloud and platform engineering teams to optimize performance and cost efficiency
• Create and execute:
• Support AI model evaluation, monitoring, and continuous improvement initiatives
• Troubleshoot production issues and implement long-term solutions
• Contribute to quality engineering processes and automated testing frameworks
• Ensure solutions comply with enterprise security standards and governance requirements
• Implement Responsible AI practices that support explainability, transparency, and risk management
• Adhere to data privacy, compliance, and information security requirements
• Support auditability, monitoring, and governance controls within AI platforms

Preferred

• Experience building enterprise Generative AI applications
• Experience with Intelligent Document Processing (IDP) platforms and solutions
• Semantic Search
• Knowledge Retrieval Systems
• AI Authoring Applications
• LangChain
• LangGraph
• AI Evaluation Frameworks
• Model Monitoring
• AI Governance
• Experience working within Life Sciences, Pharmaceutical, Healthcare, or other regulated industries
• Familiarity with cloud-native architecture patterns and microservices frameworks
• Enterprise Generative AI
• Regulated Industry Experience
• Cloud-Native Architecture
• Microservices Frameworks

Benefits

• Medical, Dental, and Vision Coverage (subject to eligibility requirements and applicable provincial regulations)
• Prescription Drug Coverage (subject to eligibility requirements and applicable provincial regulations)
• Life and Disability Insurance (subject to eligibility requirements and applicable provincial regulations)
• Employee Assistance Program (EAP) (subject to eligibility requirements and applicable provincial regulations)
• Paid Vacation and Company Holidays (subject to eligibility requirements and applicable provincial regulations)
• Retirement Savings Programs (subject to eligibility; also subject to applicable provincial regulations)
• Parental and Family Support Benefits (subject to eligibility requirements and applicable provincial regulations)
• Employee Wellness Programs (subject to eligibility requirements and applicable provincial regulations)
• Tuition Reimbursement and Professional Development Opportunities (subject to eligibility requirements and applicable provincial regulations)
• Access to Training, Certifications, and Career Development Programs (subject to eligibility requirements and applicable provincial regulations)

Company

• Full-stack AI solutions and technology services for enterprises
• Teaneck, New Jersey, USA
• https://www.cognizant.com/
• Founded in 1994
• 10001+ employees

Qualifications

• 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
• Python
• FastAPI
• REST APIs
• Large Language Models (LLMs)
• Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases
• Semantic Search
• Knowledge Retrieval
• AWS Bedrock
• AWS Lambda
• Amazon S3
• Amazon RDS
• PostgreSQL
• Git
• Docker
• CI/CD Pipelines
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and collaboration skills
• Intelligent Document Processing (IDP)
• PGVector
• Python Development
• REST API Design
• CI/CD
• LangChain
• LangGraph
• Responsible AI
• Experience building enterprise Generative AI applications
• Experience with Intelligent Document Processing (IDP) platforms and solutions
• Knowledge Retrieval Systems
• AI Authoring Applications
• AI Evaluation Frameworks
• Model Monitoring
• AI Governance
• Experience working within Life Sciences, Pharmaceutical, Healthcare, or other regulated industries
• Familiarity with cloud-native architecture patterns and microservices frameworks

Required skills

• Python, FastAPI, REST APIs, Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Semantic Search, Vector Databases, Intelligent Document Processing (IDP), AWS Bedrock, PostgreSQL

Preferred skills

• Experience building enterprise Generative AI applications, Knowledge Retrieval Systems, AI Authoring Applications, AI Evaluation Frameworks, Model Monitoring, AI Governance

Experience

• Mid level