AI AWS Technical Architect

AWMust Have Technical/Functional Skills
• 10+ years of experience in Software Development & ML engineering, including 4+ years in Solution architecture or AI architecture delivering production-grade systems.
• Strong hands-on expertise in Python (workflow orchestration, model evaluation), Node.js, and experience working with agent-based frameworks such as AutoGen, LangChain, or ADK. Solid knowledge of prompt engineering techniques and tool-calling mechanisms.
• Deep understanding of retrieval-augmented systems, including embeddings, chunking strategies, ranking mechanisms, and Vector databases such as Qdrant and MongoDB Atlas with vector search capabilities.
• Extensive experience in MLOps practices, including CI/CD pipelines for ML models, model registry management, and containerized deployments using Kubernetes.
• Strong cloud expertise in AWS, with hands-on experience in services such as Amazon Bedrock, SageMaker, AWS Lambda, and Amazon EKS.
• Demonstrated experience in implementing Responsible AI practices, security best practices (encryption, secrets management, network isolation), and FinOps strategies for AI workloads, including cost and latency optimization.

Roles & Responsibilities
• Architect and design an end-to-end solution for an AI-driven Retrieval-Augmented system.
• Define and implement the embedding strategy, document chunking methodology, and ranking techniques to ensure high-quality retrieval.
• Evaluate, select, and integrate appropriate Large Language Models (LLMs) using Amazon Bedrock.
• Design and implement a scalable vector database solution (such as OpenSearch, Qdrant, or MongoDB Atlas with vector search).
• Architect and deploy the cloud infrastructure leveraging AWS services including Amazon Bedrock (LLM), SageMaker, AWS Lambda, and Amazon EKS.
• Establish MLOps best practices by designing CI/CD pipelines for model deployment and managing model registry updates.
• Apply FinOps principles to balance cost and performance, optimizing model size, inference latency, and caching strategies.
• Design secure access controls and implement secrets management using AWS Secrets Manager.

Salary Range-$120,000-$140,000 a year

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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 & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.