Tata Consultancy Services · 8 hours ago
Generative AI Engineer
United States
Full-time
Remote
Mid, Senior Level
$110K/yr - $140K/yrTata Consultancy Services is seeking a highly skilled Generative AI Engineer with deep expertise in designing, developing, and deploying GenAI solutions on Microsoft Azure and/or AWS. The role involves architecting scalable GenAI solutions, managing MLOps pipelines, and collaborating with cross-functional teams to optimize AI workloads.
Business Information SystemsConsultingInformation TechnologyIT Management
Responsibilities
Solution Architecture & Design
Design and architect GenAI solutions using Azure AI (Azure OpenAI, Azure ML) and/or AWS AI/ML services (Bedrock, SageMaker, Comprehend, Lex)
Implement cloud-native architectures for LLM-based applications, including multi-cloud or hybrid deployments
Define and manage MLOps pipelines for model training, deployment, and monitoring using Azure ML Pipelines or AWS SageMaker Pipelines
Development & Implementation
Develop and fine-tune LLMs using frameworks like Hugging Face Transformers, LangChain, Semantic Kernel, or AWS LangChain SDK
Implement prompt engineering, retrieval-augmented generation (RAG), and vector search using Azure AI Search, Amazon Kendra, or OpenSearch
Build APIs and microservices to expose GenAI capabilities using Azure Functions, AWS Lambda, or containerized services
Production Deployment
Deploy GenAI models using Azure Kubernetes Service (AKS), Azure Container Apps, Amazon EKS, or Fargate
Monitor and optimize model performance, latency, and cost in production environments using Azure Monitor, AWS CloudWatch, and custom telemetry
Implement observability, logging, and alerting for AI workloads across both platforms
Collaboration & Documentation
Collaborate with cross-functional teams including data scientists, DevOps, and product managers
Document architecture, design decisions, and operational procedures
Provide mentorship and conduct code reviews for junior developers
Qualification
Required
Bachelor of Computer Science
Deep expertise in designing, developing, and deploying GenAI solutions on Microsoft Azure and/or AWS
Hands-on experience in production-grade AI/ML systems
Strong understanding of LLM architectures
Ability to architect scalable, secure, and cost-effective GenAI solutions across both cloud platforms
Experience with Azure AI (Azure OpenAI, Azure ML) and/or AWS AI/ML services (Bedrock, SageMaker, Comprehend, Lex)
Experience in implementing cloud-native architectures for LLM-based applications, including multi-cloud or hybrid deployments
Experience in defining and managing MLOps pipelines for model training, deployment, and monitoring using Azure ML Pipelines or AWS SageMaker Pipelines
Experience in developing and fine-tuning LLMs using frameworks like Hugging Face Transformers, LangChain, Semantic Kernel, or AWS LangChain SDK
Experience in implementing prompt engineering, retrieval-augmented generation (RAG), and vector search using Azure AI Search, Amazon Kendra, or OpenSearch
Experience in building APIs and microservices to expose GenAI capabilities using Azure Functions, AWS Lambda, or containerized services
Experience in deploying GenAI models using Azure Kubernetes Service (AKS), Azure Container Apps, Amazon EKS, or Fargate
Experience in monitoring and optimizing model performance, latency, and cost in production environments using Azure Monitor, AWS CloudWatch, and custom telemetry
Experience in implementing observability, logging, and alerting for AI workloads across both platforms
Ability to collaborate with cross-functional teams including data scientists, DevOps, and product managers
Ability to document architecture, design decisions, and operational procedures
Ability to provide mentorship and conduct code reviews for junior developers
Benefits
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Company
Tata Consultancy Services
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting.
Founded in 1968
10001+ employees
H1B Sponsorship
Tata Consultancy Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7880)
2024 (9690)
2023 (8537)
2022 (11159)
2021 (9813)
2020 (11984)
Funding
Current Stage
Public CompanyTotal Funding
unknown2004-08-25IPO
Leadership Team
K. Krithivasan
Chief Executive Officer & Managing Director
Aarthi Subramanian
President and Chief Operating Officer
Recent News
2026-01-18
Hindu Business Line
2026-01-18
Company data provided by crunchbase