AWS Bedrock Architect – Generative AISnaphunt • San Francisco, CA, United States
AWS Bedrock Architect – Generative AI
Snaphunt • San Francisco, CA, United States
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job_description.job_card.job_descriptionArchitect and deploy AI-powered solutions using AWS Bedrock Agents, including action groups, orchestration, and knowledge bases. Design and implement RAG systems integrated with vector databases and semantic search. Build serverless applications leveraging AWS Lambda (Python) and event-driven architecture. Develop and manage REST and WebSocket APIs via AWS API Gateway with custom authorizers. Utilize AWS Fargate for containerized workloads and long-running agent processes. Automate infrastructure provisioning using AWS CDK (TypeScript / Python) and CloudFormation. Manage data persistence across SQL (RDS, Aurora) and NoSQL (DynamoDB) environments. Apply prompt engineering and agent reasoning principles for AI workflow optimisation. Implement CI / CD pipelines for serverless and container deployments. Collaborate cross-functionally to explain and evangelise complex AI architectures. Must be currently located in the Bay Area, Dallas, or New Jersey. Open to all valid work authorisations (except OPT). Stable career history (no frequent job changes). Bachelor’s or Master’s degree in Computer Science, Information Technology, or related technical field. Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions. Proven expertise in architecting and deploying serverless applications on AWS at scale. Hands-on experience with AWS Bedrock Agents in production environments. Deep understanding of RAG architectures, semantic search, and vector databases. Strong background in AWS CDK / CloudFormation, Lambda, Fargate, and API Gateway. Proficiency in Python and TypeScript. Excellent problem-solving skills and communication abilities.
The Offer
- Work within a company with a solid track record of success
- Great work environment
- Attractive salary & benefits
The Job
Key Responsibilities
The Profile
Eligibility
Required Skills & Experience
Nice to Have
Familiarity with agentic workflows and advanced function-calling models.
Experience with AI observability, model evaluation, and performance tuning.
Background in distributed systems or cloud-native AI product development.
The Employer
Our client is a team driven by passion, committed to revolutionizing the way you experience recruitment and HR.
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