Amazon Bedrock Architect / GenAI Solutions Architect

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:

o Amazon Bedrock

o Bedrock Agents

o Bedrock Knowledge Bases

o Bedrock Guardrails

o Amazon OpenSearch

o AWS Lambda

o API Gateway

o Amazon S3

o 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