AWS AI Architect

Note: We have multiple location for this position (New York City, Chicago, Miami, Dallas) and it is Hybrid position in a weeks 3 days onsite

Job Description:

We are looking for a Senior AWS GenAI / Enterprise AI Architect with strong experience designing and implementing enterprise-scale Generative AI and Agentic AI solutions.

Key Responsibilities:

• Design production-ready AI solutions using AWS Bedrock and Bedrock AgentCore.

• Architect multi-agent systems, agent orchestration, MCP, and A2A integrations.

• Design secure RAG pipelines, enterprise knowledge bases, and AI-ready data platforms.

• Implement AI security, identity management, access controls, and sensitive data protection.

• Establish AgentOps/LLMOps, AI monitoring, model evaluation, and performance optimization.

• Drive AI FinOps, token optimization, model routing, and cost management.

• Define enterprise AI governance, risk management, and regulatory compliance standards.

• Develop enterprise architecture documents, reusable design patterns, and AI operating models.

Required Qualifications:

• Strong enterprise architecture experience with AWS GenAI.

• Production experience with AWS Bedrock and AgentCore.

• Expertise in multi-agent orchestration, MCP, A2A, RAG, and LLMOps.

• Strong understanding of AWS IAM, OAuth, AI security, and data privacy.

• Experience with AI governance, NIST AI RMF, and enterprise architecture.

• AWS Certified Solutions Architect – Professional.

• Current AWS AI/ML or Generative AI certification.

Preferred Qualifications:

• Banking or financial services experience.

• Experience with SageMaker, Snowflake AI, and model risk management.

• AIGP certification or ISO 42001 experience.

• Spanish language proficiency.

• Ability to support San Juan time zone stakeholders.