AI Systems Design Architect - Assistant Vice President
About The Position
We are seeking an AI System Design Architect (AVP) with strong expertise in Generative AI, Machine Learning, enterprise architecture, cloud platforms, and scalable solution design. This role will own end-to-end system design for a major GenAI platform and shared AI services, ensuring solutions are secure, resilient, compliant, and aligned with enterprise architecture standards. The ideal candidate will translate business and platform requirements into robust technical architectures across the AI stack, define architecture patterns and integration contracts, establish non-functional requirements, and provide architecture reviews across pods. This role requires close collaboration with product, engineering, data science, cloud, and control teams to drive scalable, production-grade AI solutions.
Requirements
- Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
- 8–14 years of experience in solution architecture, enterprise application architecture, platform architecture, or AI/ML architecture.
- Strong hands-on experience with Generative AI, LLMs, ML systems, RAG architectures, vector databases, and AI application integration.
- Proven experience in cloud architecture and solution design on at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
- Strong understanding of cloud-native services including compute, storage, networking, identity and access management, security, and AI/ML services.
- Expertise in API architecture, microservices, distributed systems, event-driven architecture, and system integration patterns.
- Experience designing solutions with strong security, resiliency, scalability, observability, and performance considerations.
- Working knowledge of AI governance, Responsible AI, model risk, compliance, testing, and operational controls.
- Ability to lead architecture discussions and clearly communicate complex technical concepts to technical and business stakeholders.
- Strong collaboration, problem-solving, and stakeholder management skills.
Nice To Haves
- Master’s degree preferred.
Responsibilities
- Own end-to-end architecture and system design for a major AI platform domain, including model integration, orchestration, APIs, data flows, and downstream system interactions.
- Define and implement reference architectures, design standards, integration contracts, and non-functional requirements (NFRs) for the platform area.
- Translate business and product requirements into scalable, secure, resilient, and maintainable AI solution designs.
- Partner with business stakeholders, product managers, engineers, data scientists, platform teams, and security teams to deliver enterprise-ready AI systems.
- Design solutions leveraging cloud architecture principles on AWS, Azure, or Google Cloud, ensuring interoperability, scalability, observability, and operational readiness.
- Establish reusable architecture patterns for RAG, model serving, prompt workflows, agentic AI workflows, and AI application integration.
- Ensure alignment with Responsible AI, model governance, data handling, compliance, testing, risk, and production control requirements.
- Conduct architecture assessments, technical design reviews, and proof-of-concept evaluations for new AI use cases and platform capabilities.
- Review solution designs across pods and provide guidance on architecture decisions, trade-offs, and standards adherence.
- Partner with engineering and DevSecOps teams to support production readiness, release architecture, monitoring, and scalability planning.
Benefits
- retirement savings plan (401K) with company match
- insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
- paid-time off including vacation, sick leave, short term disability, and family care responsibilities
- access to our Employee Assistance Program
- incentive compensation including eligibility for annual performance-based awards
- eligibility for certain tax advantaged savings plans
- inclusive development opportunities
- flexible work-life support
- paid volunteer days
- vibrant employee networks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
