Elvis Eckardt Recruitment & Sales Solutions Limited
AWS Bedrock Architect – Generative AI
Elvis Eckardt Recruitment & Sales Solutions Limited, Dallas, Texas, United States, 75215
At Elvis Eckardt Recruitment & Sales Solutions Limited, we're not just your average recruiters or HR professionals.
We're a team driven by passion, committed to revolutionizing the way you experience recruitment and HR.
With over a decade of hands-on experience, we've honed our craft and specialize in delivering exceptional Recruitment and HR Solutions to SMEs, Start-Ups, and even the industry giants like the Big Four.
Our journey started from the ground up, and that's what makes us stand out – we're a bootstrapped endeavour that's all about connecting with businesses and candidates alike on a personal level.
We understand that one size doesn't fit all. That's why our approach to recruitment goes beyond the mundane.
Our aim is simple, yet profound – to exceed your expectations and create tailor-made, practical, and memorable experiences for you, whether you're a client looking for the perfect addition to your team, a candidate seeking the next big opportunity, or a partner sharing our vision.
At the heart of our mission is the drive to add real value to your operations. We're not here to simply provide solutions; we're here to optimize your entire Recruitment and sales processes, helping you achieve your goals more effectively.
Whether you're curious and want to learn more, need help finding exceptional freelancers, require headhunting expertise, or are looking for executive search services, our comprehensive Service Portfolio is just a few clicks away here on our website.
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
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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
#J-18808-Ljbffr