AI AWS Technical Architect

Job Description 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

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.