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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define and execute the AI architecture roadmap for Advice & Wealth Management in partnership and collaboration with other organizations
- Establish architecture patterns for both traditional ML and generative AI, including deployment and monitoring
- Help business and product leaders understand how they can leverage AI to solve their business problems
- Influence enterprise guardrails and standards for responsible AI usage (evaluation, observability, model performance, and risk management)
- Establish repeatable patterns for integrating AI into applications, workflows, and platforms
- Partner with data architecture to ensure AI-ready data foundations (quality, governance, lineage)
- Guide teams on build vs. buy vs. partner decisions for AI capabilities and platforms
- Research emerging AI technologies and patterns; translate into practical recommendations and investment proposals
- Influence senior leadership on AI strategy, investment priorities, and sequencing
- Coach and mentor architects and senior engineers in AI architecture and design practices
Requirements
What you’ll need- Deep expertise across both traditional ML and generative AI architectures
- Proven ability to apply AI to real business use cases
- Experience designing AI systems that are secure, observable, and scalable
- Strong understanding of model lifecycle management (training, deployment, monitoring, retraining)
- Experience establishing responsible AI governance and controls
- Knowledge of AI/ML platforms, cloud-native patterns, and integration approaches (e.g. MCP, A2A, etc.)
- Ability to influence senior stakeholders and collaborate across business and technology
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architecturetraditional MLgenerative AImodel lifecycle managementAI governanceAI systems designscalable systemsobservable systemsintegration approachescloud-native patterns
Soft Skills
influence senior stakeholderscollaborationcoachingmentoringcommunication
