AWS Bedrock Architect - Generative AI

• Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Systems Design
  • Orchestration
  • Amazon Lambda
  • WebSocket
  • Provisioning
  • Management
  • SQL
  • Remote Desktop Services
  • Amazon RDS
  • NoSQL
  • Amazon DynamoDB
  • Prompt Engineering
  • Reasoning
  • Continuous Integration
  • Continuous Delivery
  • Collaboration
  • SAP BASIS
  • Jersey
  • Computer Science
  • Information Technology
  • Generative Artificial Intelligence (AI)
  • Semantic Search
  • Vector Databases
  • Amazon Web Services
  • API
  • Python
  • TypeScript
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Workflow
  • Evaluation
  • Performance Tuning
  • Cloud Computing
  • Artificial Intelligence
  • Product Development

Summary

The Role:

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:
  • Architect 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.
  • Utilise AWS Fargate for containerised 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.

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

Ideal Profile:

Eligibility:
  • 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).

Required Skills & Experience
  • 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.

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.

What's on Offer?

  • Work within a company with a solid track record of success
  • Great work environment
  • Attractive salary & benefits
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RESLBFEED
  • Position Id: 27099_27278_88f176fac33b681a774f83b4d653d635
  • Posted 1 hour ago
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