
AI Architect
Willis Towers Watson3 days ago
Philadelphia, PA, USASenior
Base Salary
$120k - $150k/yr
Responsibilities
- Partner with internal clients to understand use cases, define success criteria, and scope MVPs.
- Own end-to-end AI solution architecture and produce high-level designs, low-level designs, and architecture decision records.
- Design enterprise AI agents, agentic workflows, MCP integrations, RAG and knowledge-grounding strategies, tool orchestration, and evaluation approaches.
- Guide solutions from prototype to production through evaluation frameworks, release gating, tracing, security hardening, red-teaming, and operational monitoring.
- Design integrations with Dataverse, SharePoint, Microsoft Fabric/OneLake, SQL, Azure AI Search, Microsoft 365, ServiceNow, ERP, HR, and other enterprise systems.
- Set standards for authentication, APIs, CI/CD, infrastructure-as-code, reusable components, application lifecycle management, and environment governance.
- Guide model selection, token budgeting, capacity planning, and AI cost monitoring.
- Partner with Security, Privacy, Risk, and delivery teams on responsible AI, data classification, privacy, least-privilege access, and auditability.
- Evaluate existing AI and automation assets and recommend modernization roadmaps, platforms, and build-versus-buy decisions.
Requirements
- 7+ years of solution or cloud architecture experience with strong cloud fundamentals; Azure is strongly preferred, with GCP or AWS considered.
- Hands-on experience with Azure AI Foundry, core Azure AI services, and Microsoft Copilot Studio for enterprise agent design and orchestration.
- Experience designing cloud-native, enterprise-scale solutions using Well-Architected Framework principles.
- Strong understanding of MCP, RAG, chunking, retrieval, Azure AI Search or vector stores, grounding evaluation, fine-tuning, and tool-use decisions.
- Experience moving AI or agent solutions from prototype to production with evaluation, security, observability, and release gating.
- Working knowledge of Python or C# sufficient for production code review and technical design critique.
- Working knowledge of REST APIs, SDKs, OAuth 2.0, OIDC, Entra ID app registrations, managed identity, and on-behalf-of flows.
- Understanding of version control, code review, CI/CD, infrastructure-as-code, Power Apps, Power Automate, AI Builder, SharePoint, Teams, and Dataverse.
- Ability to communicate complex technical concepts to senior non-technical stakeholders and guide delivery teams, vendors, and partners.
- Preferred qualifications include Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, or Power Platform certifications; React, Angular, TypeScript, Azure DevOps Pipelines, GitHub Actions, Bicep, Terraform, regulated-industry experience, and multi-vendor delivery experience.
Benefits
- Competitive benefits include medical, prescription, dental, vision, health savings, commuter, flexible spending, accident, critical illness, life, AD&D, legal, identity theft protection, wellbeing, and work/life resource programs.
- Benefits include paid holidays, paid time off, short- and long-term disability, bereavement, FMLA, ADA, jury duty, military, parental, and adoption leave.
- Retirement benefits include a contributory pension plan and 401(k) savings plan; more senior roles may also qualify for deferred compensation and deferred savings plans.
Tech Stack
Categories
Solutions Engineering
About Willis Towers Watson
WTW is a global advisory, broking, and software firm serving employers, insurers, and institutional clients across people, risk, and capital. It provides insurance brokerage and risk advisory, employee benefits and pensions consulting, and HR/benefits administration software and analytics. Headquartered in London and listed on NASDAQ (WTW), the company was formed in 2016 via the Willis Group–Towers Watson merger and operates in roughly 140 markets worldwide.