AI Architect/FDE - Healthcare

NextBigWhat; Dallas (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation and Holidays

Paid Paternity and Maternity Leave

Job summary

NextBigWhat is seeking an AI Architect/FDE for a Healthcare client. The role is client-facing, hands-on engineering plus solutioning, spanning pre-sales through early delivery. Location is a major US hub with hybrid arrangements (Dallas included) and travel about 25%.

You will report to the AI Leader, North America, work in Enterprise AI Platforms & Agentic Solutions, and collaborate with senior stakeholders to design scalable, secure cloud-native AI solutions using Vertex AI and Java/Spring.

Qualifications

• 12+ years IT with cloud/enterprise architecture experience.
• Hands-on with Google Cloud Platform services.
• Deep Vertex AI, Generative AI design, prompt engineering experience.
• Strong Java and Spring Boot, microservices and REST APIs.
• Experience with enterprise integration and API-led connectivity.
• Ability to work with senior business and technology stakeholders.

Responsibilities

• Client-facing role spanning pre-sales through early delivery.
• Hands-on engineering and solution design for AI platforms.
• Lead architecture discussions with stakeholders and translate business needs into scalable tech.
• Collaborate across Enterprise AI Platforms & Agentic Solutions to deliver integrated AI solutions.

Skills

Cloud architecture

Enterprise architecture

AI/ML solution design

Vertex AI

Generative AI

Java / Spring Boot

REST APIs

Integration patterns

Stakeholder management

Communication

Tools

Google Cloud Platform

Vertex AI

MLOps tools

Job description

Job Description

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.OperatingacrossBanking,Insurance,Manufacturing,Retail/CPG,Energy&Utilities,Travel&Hospitality,HiTech,andMedia,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.

Benefits

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

Additional Information

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