Amazon Bedrock Architect / GenAI Solutions Architect

Integration & Automation Integrate AI solutions with enterprise applications, APIs, ServiceNow, Jira, ITSM platforms, and business workflows. Define reference architectures for Agentic AI, RAG, AI Assistants, Intelligent Search, and Enterprise Knowledge Platforms.

Amazon Bedrock Architect / GenAI Solutions Architect
Location -Remote / Hybrid

Experience
12+ years in IT, with 3+ years in Generative AI, Machine Learning, or AI Platform Architecture

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Key Responsibilities
Solution Architecture & Design

• Design and implement enterprise Generative AI platforms using Amazon Bedrock.
• Architect scalable, secure, and highly available AI solutions aligned with AWS Well-Architected principles.
• Define reference architectures for Agentic AI, RAG, AI Assistants, Intelligent Search, and Enterprise Knowledge Platforms.
• Evaluate and recommend appropriate Foundation Models based on use case, cost, latency, and performance requirements.

Generative AI Engineering

• Design and deploy solutions using:
  • Amazon Bedrock
  • Bedrock Agents
  • Bedrock Knowledge Bases
  • Bedrock Guardrails
  • Amazon OpenSearch
  • AWS Lambda
  • API Gateway
  • Amazon S3
  • Step Functions
• Implement advanced prompting strategies, AI orchestration, and multi-agent workflows.
• Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge repositories.

Security, Governance & Compliance

• Establish AI governance frameworks, security controls, and Responsible AI practices.
• Implement Bedrock Guardrails to protect against prompt injection, harmful content, and sensitive data exposure.
• Design AI solutions compliant with enterprise security standards, regulatory requirements, and data privacy controls.

Integration & Automation

• Integrate AI solutions with enterprise applications, APIs, ServiceNow, Jira, ITSM platforms, and business workflows.
• Design automated decision-making and action-execution frameworks using Bedrock Agents and AWS services.
• Enable conversational AI capabilities across operations, support, and business functions.

AI Operations & Optimization

• Define AI observability and monitoring frameworks.
• Track model performance, latency, token utilization, hallucination rates, and operational metrics.
• Optimize AI workloads for cost, scalability, and reliability.
• Collaborate with FinOps teams to manage AI consumption and governance.

Leadership & Consulting

• Partner with business stakeholders to identify high-value AI use cases.
• Lead architecture reviews, technical workshops, and AI strategy sessions.
• Mentor architects, engineers, and data scientists on AWS Generative AI best practices.
• Provide executive-level recommendations on AI adoption and roadmap planning.

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Experience

• 12+ years of experience in Cloud Architecture, Solution Architecture, or Enterprise Architecture.
• Hands-on experience delivering enterprise AWS cloud solutions.
• Proven experience designing Generative AI applications in production environments.
• Experience with AI/ML, NLP, and Large Language Models (LLMs).

Technical Skills

• Amazon Bedrock
• Bedrock Agents
• Bedrock Knowledge Bases
• Bedrock Guardrails
• AWS Lambda
• API Gateway
• Step Functions
• Amazon OpenSearch
• Amazon S3
• Amazon EKS / ECS
• Python
• LangChain / LangGraph
• Vector Databases
• RAG Architecture
• Prompt Engineering
• Foundation Models (Claude, Titan, Nova, Llama, Mistral)
• CI/CD and Infrastructure as Code (Terraform, CloudFormation)

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Preferred Qualifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Machine Learning Engineer or Specialty
• TOGAF Certification
• Experience with MLOps / LLMOps platforms
• Experience implementing Agentic AI architectures
• Knowledge of FinOps and AI cost optimization
• Public sector, healthcare, financial services, or regulated industry experience