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.
