AWS Bedrock Architect – Generative AI
Position: AWS Bedrock Architect – Generative AI
Industry: Information Technology (IT)
Location: Bay Area (CA), Dallas (TX), or New Jersey (USA)
Type: Full-Time
Experience: 8–15 years
Role Overview:
We are seeking an AWS Bedrock Architect with proven experience designing and deploying Generative AI and LLM-based solutions at scale. The ideal candidate will have deep hands-on expertise with AWS Bedrock Agents, serverless architectures, and AI-driven system design using AWS native services.
You’ll be responsible for building robust, scalable, and secure AI systems leveraging Bedrock, Lambda, Fargate, API Gateway, and modern RAG (Retrieval-Augmented Generation) architectures.
Key Responsibilities:
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Architect and deploy AI-powered solutions using AWS Bedrock Agents, including action groups, orchestration, and knowledge bases.
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Design and implement RAG systems integrated with vector databases and semantic search.
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Build serverless applications leveraging AWS Lambda (Python) and event-driven architecture.
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Develop and manage REST and WebSocket APIs via AWS API Gateway with custom authorizers.
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Utilise AWS Fargate for containerised workloads and long-running agent processes.
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Automate infrastructure provisioning using AWS CDK (TypeScript/Python) and CloudFormation.
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Manage data persistence across SQL (RDS, Aurora) and NoSQL (DynamoDB) environments.
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Apply prompt engineering and agent reasoning principles for AI workflow optimisation.
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Implement CI/CD pipelines for serverless and container deployments.
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Collaborate cross-functionally to explain and evangelise complex AI architectures.
Required Skills & Experience
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Bachelor’s or Master’s degree in Computer Science, Information Technology, or related technical field.
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Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
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Proven expertise in architecting and deploying serverless applications on AWS at scale.
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Hands-on experience with AWS Bedrock Agents in production environments.
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Deep understanding of RAG architectures, semantic search, and vector databases.
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Strong background in AWS CDK/CloudFormation, Lambda, Fargate, and API Gateway.
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Proficiency in Python and TypeScript.
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Excellent problem-solving skills and communication abilities.
Nice to Have:
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Familiarity with agentic workflows and advanced function-calling models.
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Experience with AI observability, model evaluation, and performance tuning.
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Background in distributed systems or cloud-native AI product development.
Eligibility:
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Must be currently located in the Bay Area, Dallas, or New Jersey.
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Open to all valid work authorisations (except OPT).
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Stable career history (no frequent job changes).
Application Process:
To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer:
We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply.
Contact: Elvis Eckardt
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