AWS AI Architect (Amazon Bedrock Expertise)
Staffworxs•Seattle, WA
•Remote
About The Position
Staffworxs is 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
