AWS AI Architect (Amazon Bedrock Expertise)

Headquartered in Frisco TX with teams in Bengaluru and Hyderabad we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worlds top Client brands who continue to retain us as their trusted partner. If youre ready to make an impact youre in the right place.

Title AWS AI Architect (Amazon Bedrock Expertise)
Location Remote / Hybrid
Duration of the Contract Long-Term Contract
Client Industry Cruise Line

• Amazon Bedrock (Mandatory)
• Generative AI / LLMs
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering & Optimization
• Python & API Integrations
• AWS Lambda Step Functions API Gateway
• Vector Databases & Embeddings
• AWS Security (IAM VPC KMS)
• Data Services (S3 Glue Redshift EMR Kinesis)
• CloudWatch CloudTrail MLOps

We are seeking an experienced AWS AI Architect with deep hands-on expertise in Amazon Bedrock to design and deliver enterprise-grade Generative AI and LLM-powered solutions. This role requires a strong blend of cloud architecture AI/ML expertise and hands-on engineering capability to build scalable secure and production-ready AI platforms on AWS.

AI & Solution Architecture

• Design and architect end-to-end Generative AI solutions using Amazon Bedrock
• Build scalable RAG pipelines leveraging OpenSearch Aurora ML Vector Engine DynamoDB and vector databases
• Evaluate and select foundation models such as Claude Llama Amazon Titan and Cohere
• Architect multi-agent systems using Bedrock Agents and Knowledge Bases
• Develop serverless AI workflows using Lambda Step Functions and API Gateway

Model Development & Engineering

• Implement prompt engineering and optimization strategies
• Fine-tune LLMs using Bedrock capabilities
• Develop reusable GenAI components and enterprise accelerators
• Integrate AI solutions with enterprise systems and APIs

Data & Integration

• Build data pipelines using Glue S3 EMR Redshift and Kinesis
• Design secure architectures using IAM VPC PrivateLink and KMS
• Implement monitoring governance and observability using CloudWatch CloudTrail and MLOps tools

Leadership & Collaboration

• Lead architecture discussions PoCs and technical reviews
• Collaborate with cross-functional teams to deliver scalable AI solutions
• Mentor teams on AWS and Generative AI best practices

• Strong experience in AWS cloud architecture
• Hands-on expertise in AI/ML and Generative AI solutions
• Deep experience with Amazon Bedrock (mandatory)
• Proficiency in Python and serverless development
• Experience implementing RAG architectures at scale
• Strong knowledge of cloud security and networking
• Experience with vector databases and embedding strategies

• AWS Certified Solutions Architect Professional
• AWS Certified Machine Learning Specialty
• Experience with SageMaker EKS or ECS
• Knowledge of responsible AI and guardrails
• Experience building copilots chatbots or document intelligence platforms
• Familiarity with EventBridge and event-driven architectures

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