Generative AI Engineer

Generative AI Engineer at Tata Consultancy Services

Job Description

Looking for a highly skilled Generative AI Developer with deep expertise in designing, developing, and deploying GenAI solutions on Microsoft Azure and/or AWS. The ideal candidate will have hands‑on experience in production‑grade AI/ML systems, a strong understanding of LLM architectures, and the ability to architect scalable, secure, and cost‑effective GenAI solutions across both cloud platforms.

• Solution Architecture & Design – Design and architect GenAI solutions using Azure AI (Azure OpenAI, Azure ML) and/or AWS AI/ML services (Bedrock, Sage Maker, Comprehend, Lex). Implement cloud‑native architectures for LLM‑based applications, including multi‑cloud or hybrid deployments.
• MLOps – Define and manage MLOps pipelines for model training, deployment, and monitoring using Azure ML Pipelines or AWS Sage Maker Pipelines.
• Development & Implementation – Develop and fine‑tune LLMs using frameworks like Hugging Face Transformers, Lang Chain, Semantic Kernel, or AWS Lang Chain SDK. Implement prompt engineering, retrieval‑augmented generation (RAG), and vector search using Azure AI Search, Amazon Kendra, or Open Search. 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 Cloud Watch, and custom telemetry. Implement observability, logging, and alerting for AI workloads across both platforms.
• Collaboration & Documentation – Collaborate with cross‑functional teams including data scientists, Dev Ops, and product managers. Document architecture, design decisions, and operational procedures. Provide mentorship and conduct code reviews for junior developers.

• Strong programming skills in Python, experience with AI/ML libraries (PyTorch, Tensor Flow).
• Deep knowledge of Azure AI services (Azure OpenAI, Azure ML, Cognitive Services) and/or AWS AI/ML services (Bedrock, Sage Maker, Comprehend, Rekognition).
• Experience with cloud architecture, Dev Ops, and Infrastructure as Code (Terraform, AWS Cloud Formation).
• Familiarity with LLM orchestration frameworks:
  Lang Chain, Semantic Kernel, Prompt Flow.
• Experience with vector databases:
  Azure AI Search, Amazon Open Search, Pinecone, FAISS.
• Strong analytical and problem‑solving skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast‑paced, agile environment.

Salary Range
: $110,000 – $140,000 per year

• 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.

Bachelor of Computer Science (or equivalent)

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting