Generative AI Engineer

Job Description

Must Have Technical/Functional Skills

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.

Roles & Responsibilities

Key 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.

Salary Range: $110,000 $140,000 Year

TCS Employee Benefits Summary

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 & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications: BACHELOR OF COMPUTER SCIENCE