AI Systems Design Architect, Vice President
$120,000–$217,500 year
On-siteQuincy, Massachusetts, United States
Job Summary
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, and downstream enterprise systems. Define and govern reference architectures, design standards, and cloud design approaches for AI platforms while ensuring compliance with Responsible AI, governance, and security requirements. Lead architecture decisions for hybrid environments on AWS, Azure, or GCP, chairing governance forums to review major solution designs and resolve technical trade-offs. Partner with business leaders, product teams, and engineering to align strategy with priorities, guide build-vs-buy evaluations, and mentor architects to improve design quality and adoption of enterprise standards.
Required Qualifications
- Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline
- 12–17 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture, including leadership of large-scale enterprise initiatives
- Deep hands-on and architectural experience with Generative AI, LLMs, ML systems, RAG, vector databases, prompt design/orchestration, and AI application integration
- Proven expertise in cloud architecture and enterprise solution design on AWS, Azure, or Google Cloud Platform (GCP)
- Strong understanding of cloud-native architecture including AI/ML services, networking, storage, security, IAM, resilience, and performance optimization
- Proven experience designing enterprise-scale, secure, resilient, and high-performing architectures for AI and data-driven applications
- Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design
- Strong understanding of AI governance, Responsible AI, model risk, compliance, testing, production controls, and control frameworks
- Strong understanding of DevSecOps, CI/CD, observability, monitoring, reliability engineering, and platform engineering concepts
- Demonstrated ability to lead architecture discussions with senior executives and communicate effectively with both technical and non-technical stakeholders
- Strong leadership, stakeholder management, problem-solving, and cross-functional collaboration skills
Desired Qualifications
- Master's degree preferred
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