AI Architect/FDE - Healthcare
confisa international groupNew York, NY
AI Architect/FDE - Healthcare
confisa international groupNew York, NYManager L7
APPLY NOW (opens in a new tab)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
Company Overview:
Globaltechnologyconsultinganddigitalsolutionscompanythatenablesenterprisesacrossindustriestoreimaginehowtheyoperate, compete, andgrow. Bycombiningdeepdomainknowledge, advancedengineering, andtransformationexpertise, deliversmeasurablebusinessimpactatscale. EnterpriseAIbusinessunit, purpose builttohelporganizationsmovebeyondpilotsintoscaled, product iongradeAIadoption, functionalconsulting, anAIFoundry, andagenticAIplatformstodeliverintegratedsolutionsthattransformhowworkgetsdone acrosstheenterprise. Operatingacross Banking, Insurance, Manufacturing, Retail/CPG, Energy&Utilities, Travel&Hospitality, HiTech, and Media, workscloselywithindustryGTMteamstocreaterepeatableAIsolutions, accelerators, andtransformationprogramsalignedtorealbusinessoutcomes.
Must Have:
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.
Preferred Qualifications:
- 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, VisionShort Term and Long-Term Disability Coverage 401(k) Plan with Company match
- Life Insurance
- Paid Paternity and Maternity Leave
Additional Information: All your information will be kept confidential according to EEO guidelines.
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