AI Architect​/FDE - Healthcare

AI Architect/FDE for a Healthcare client
Role Type:Client-facing, hands-on engineering + solutioning (pre-sales through early delivery)
Location:Major US hub (e.g., New York, Bay Area, Dallas, Chicago – flexible for the right candidate).
Hybrid arrangements and travel:This remain hybrid opportunities in New York, the Bay Area, Dallas, or Chicago, with no fully remote option. Travel may be approximately
25%, when necessary.
Level:Manager/Principal/Senior Principal
Business Unit:Enterprise AI Platforms & Agentic Solutions
Reporting to:Artificial Intelligence Leader, North America

Globaltechnologyconsultinganddigitalsolutionscompanythatenablesenterprisesacrossindustriestoreimaginehowtheyoperate,compete,andgrow.

Bycombiningdeepdomainknowledge,advanced engineering,andtransformationexpertise,deliversmeasurablebusinessimpactatscale.

EnterpriseAIbusinessunit,purpose builttohelporganizationsmovebeyondpilotsintoscaled,product iongradeAIadoption,functional consulting,anAIFoundry,andagenticAIplatformstodeliverintegratedsolutionsthattransformhowworkgetsdone acrosstheenterprise.

Operating across Banking,Insurance,Manufacturing,Retail/CPG,Energy&Utilities,Travel&Hospitality,HiTech,and Media,workscloselywithindustryGTMteamstocreaterepeatableAIsolutions,accelerators,andtransformationprogramsalignedtorealbusinessoutcomes.

• 12+ years of overall IT experience, with significant experience in cloud architecture, enterprise architecture, integration, or AI/ML solution architecture.
• Strong hands-on experience with Google Cloud Platform services and cloud-native architecture patterns.
• Deep understanding of Vertex AI, Generative AI solution design, prompt engineering, model integration, AI governance, and production deployment considerations.
• Strong Java and Spring Boot background, including microservices architecture, REST APIs, security patterns, and scalable backend design.
• Practical experience with enterprise integration, API-led connectivity, data exchange patterns, and integration with legacy and modern platforms.
• Ability to evaluate and apply AI productivity tools such as Claude and Antigravity to improve engineering throughput, documentation, solution design, and delivery quality.
• Experience working with senior business and technology stakeholders in complex enterprise environments.
• Excellent communication, facilitation, consulting, and stakeholder-management skills.

• Google Professional Cloud Architect or relevant Google Cloud certification.
• Experience in healthcare, provider systems, clinical operations, payer/provider integration, or regulated enterprise environments.
• Experience with AI governance, security, privacy, responsible AI practices, and data-protection requirements.
• Exposure to MLOps, LLMOps, CI/CD, observability, and production support models for AI-enabled platforms.
• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Paid Paternity and Maternity Leave

All your information will be kept confidential according to EEO guidelines.