Skills

Communication Python TypeScript SQL NoSQL CI/CD AWS Lambda Problem-solving Architecture Databases AWS CI/CD Pipelines Infrastructure as Code

Job Specifications

Job Title: Generative AI Architect

Location: Bay Area, CA (Remote)

Job Type: FTE

Job Description

We are seeking an experienced technologist to architect and implement enterprise-grade Agentic AI solutions on AWS Bedrock platform. You will extend solutions involving RAG architecture and Bedrock Agents, designing scalable serverless systems using AWS native services. This role demands deep expertise in Generative AI technologies and hands-on experience building production-grade AI systems on AWS.

Roles & Responsibilities

Key Responsibilities

Architect and implement the evolution from RAG-based systems to Agentic AI solutions using AWS Bedrock Agents

Design and build serverless architectures leveraging Lambda, API Gateway, and Fargate for scalable AI workloads

Lead architecture design sessions to define technical standards, patterns, and implementation guidelines for agent-based systems

Develop Infrastructure as Code using AWS CDK and CloudFormation for repeatable, maintainable deployments

Collaborate with stakeholders to translate business requirements into scalable technical solutions

Provide technical mentorship to engineering teams on Bedrock Agents, serverless patterns, and best practices

Ensure compliance with security regulations, implementing guardrails and governance for AI systems

Evaluate and prototype emerging capabilities in the Bedrock ecosystem to enhance existing architectures

Required Skills and Technologies

Extensive hands-on experience with AWS Bedrock Agents including action groups, knowledge bases, and orchestration patterns

Strong expertise in RAG architectures with proven experience extending to agentic workflows

Proficiency in AWS Lambda development with Python, including complex event-driven architectures

Deep knowledge of AWS API Gateway for REST and WebSocket APIs, including custom authorizers and integration patterns

Experience with AWS Fargate for containerized workloads and long-running agent processes

Strong expertise in AWS CDK (TypeScript or Python) and CloudFormation for infrastructure automation

Deep Knowledge and experience of vector databases and semantic search integration with Bedrock knowledge bases

Experience with both SQL databases (RDS, Aurora) and NoSQL solutions (DynamoDB)

Understanding of prompt engineering, function calling, and agent reasoning patterns

Proficiency in CI/CD pipelines for serverless applications and container deployments

Strong problem-solving abilities with systematic approaches to distributed system challenges

Excellent communication skills to explain complex AI architectures to diverse audiences

Technical Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, or related technical field

Minimum 1 years of hands-on experience with Generative AI and LLM-based solutions

Proven experience architecting and deploying serverless applications on AWS at scale

Demonstrated expertise building RAG systems and extending them to agent-based architectures

Strong track record with AWS CDK/CloudFormation for complex multi-service deployments

Experience with Bedrock Agents in production environments

About the Company

BizTec Global is a leading digital transformation and IT staffing partner specializing in enterprise solutions. With headquarters in Philadelphia, Pennsylvania, and strategic global delivery centers in Hyderabad and Bangalore, India, we provide comprehensive technology talent acquisition and workforce solutions. Our organization focuses on enabling companies to build scalable, agile, and high-performing technology teams that drive innovation and operational excellence. We leverage our extensive network of skilled professiona... Know more