Capital Health is the region's leader in providing progressive, quality patient care with significant investments in our exceptional physicians, nurses and staff, as well as advanced technology. Capital Health is a dynamic health care resource accredited by the DNV that includes two hospitals, an outpatient center, satellite ED, and an expansive network of primary and specialty care. Capital Health Medical Group is made up of more than 600 physicians and other providers who offer primary and specialty care, as well as hospital-based services, to patients throughout the region.

Capital Health recognizes that attracting the best talent is key to our strategy and success as an organization. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we can attract the best candidates.

The listed pay range or pay rate reflects compensation for a full-time equivalent (1.0 FTE) position. Actual compensation may differ depending on assigned hours and position status (e.g., part-time).

Pay Range:

$124,217.60 - $162,302.40

Scheduled Weekly Hours:

Position Overview

SUMMARY (Basic Purpose of the Job)

The AI Architect defines and evolves Capital Health's enterprise artificial intelligence architecture, technical standards, reusable patterns, and platform strategy. This senior hands-on architecture role establishes how AI capabilities are securely and consistently designed, integrated, evaluated, deployed, monitored, and governed across internally developed products and enterprise workflows. The AI Architect provides technical direction for large language models, agentic systems, retrieval-augmented generation, enterprise knowledge, model and provider integration, tool orchestration, identity and access, voice and conversational AI, observability, evaluations, guardrails, human oversight, and AI platform services. The role partners with AI Engineers, Product Developers, Product Engineers, the Data Architect, Data Engineers, Security, Infrastructure, Clinical and Business Applications, Compliance, Privacy, and operational leadership to create reusable enterprise capabilities rather than isolated one-off AI implementations. The AI Architect remains technically hands-on and is expected to create reference implementations, lead architecture reviews, solve complex engineering problems, and guide AI Engineers while preserving appropriate architectural flexibility as the technology evolves.

MINIMUM REQUIREMENTS

Education:

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent combination of education and highly relevant architecture and engineering experience.

Experience:

Demonstrated extensive experience designing and delivering enterprise software, cloud, data, machine learning, generative AI, or agentic systems, including responsibility for architecture decisions that span multiple products or teams. Must demonstrate strong hands-on engineering depth, experience establishing reusable technical standards, and the ability to guide complex production implementations. Experience in healthcare, regulated environments, or sensitive-data architectures is strongly preferred.

Other Credentials:

Advanced architecture, cloud, artificial intelligence, machine learning, data, or security certifications are preferred but not required. Relevant examples may include cloud solution architect, AI engineer, data architect, security, or enterprise architecture credentials.

Knowledge and Skills:

Expert knowledge of enterprise AI architecture and modern software engineering, including LLM and model integration, model gateways, agent frameworks, tool/function calling, RAG and enterprise knowledge architectures, embeddings/vector search, context and state management, evaluation frameworks, observability, guardrails, human-in-the-loop design, identity and authorization, API architecture, cloud platforms, CI/CD, secure deployment, performance, resilience, and cost management. Strong understanding of privacy, security, data governance, responsible AI, healthcare interoperability, and integration with EHR and enterprise systems. Ability to create reference architectures, evaluate emerging technologies, communicate complex tradeoffs, and influence technical direction across organizational boundaries.

Special Training:

Advanced training in AI architecture, cloud architecture, generative AI and agentic systems, responsible AI, AI security, evaluation/red teaming, enterprise integration, healthcare interoperability, or related disciplines is preferred.

Mental, Behavioral and Emotional Abilities:

Ability to think strategically and systemically while remaining technically hands-on; make high-impact architecture decisions under uncertainty; balance standardization with innovation; influence senior technical and business stakeholders; communicate complex concepts clearly; mentor engineers; identify enterprise risks early; and maintain strong judgment regarding privacy, security, patient safety, reliability, and long-term maintainability.

Usual Work Day:

8 Hours

Reporting Relationships

Does this position formally supervise employees? No. The AI Architect is a senior individual contributor and enterprise technical authority for AI architecture. The role provides architecture direction, technical standards, design review, mentoring, and guidance to AI Engineers and collaborates closely with the Director of Product Engineering and AI, Product Development leadership, the Data Architect, Security, Infrastructure, Data Engineering, Product Engineering, Clinical and Business Applications, Compliance, Privacy, and other enterprise stakeholders.

ESSENTIAL FUNCTIONS

Defines and maintains the enterprise AI architecture strategy, reference architectures, technical standards, and reusable implementation patterns.

Establishes architectural patterns for LLM integration, model/provider abstraction, model gateways, agent orchestration, tool/function calling, context management, memory/state, RAG, enterprise knowledge, and structured outputs.

Defines how AI applications securely authenticate, authorize, retrieve data, and perform approved actions across EHR-related services, enterprise applications, APIs, identity platforms, and workflow systems.

Establishes enterprise standards for AI evaluations, testing, release readiness, regression testing, red teaming, monitoring, observability, and continuous quality measurement.

Defines architecture patterns for guardrails, least-privilege tool access, sensitive-data protection, audit logging, human oversight, fallback behavior, escalation, and safe failure modes.

Creates architecture standards for voice and conversational AI, including speech services, real-time orchestration, latency, interruption handling, context continuity, call transfer/escalation, and integration with enterprise telephony and contact-center platforms.

Partners with the Data Architect and Data Engineering teams to define AI-ready data and knowledge architecture, including source authority, metadata, lineage, retrieval patterns, vector stores, semantic layers, and data quality expectations.

Evaluates AI models, providers, platforms, frameworks, and emerging technologies and recommends enterprise adoption based on capability, security, privacy, interoperability, performance, cost, supportability, and vendor portability.

Promotes model and vendor portability by defining interfaces and patterns that reduce unnecessary dependence on a single AI provider where practical.

Designs shared AI platform capabilities and reusable services that can support multiple products, agents, departments, and use cases.

Creates hands-on prototypes and reference implementations to validate architecture decisions and provide implementation examples for engineering teams.

Leads AI architecture and design reviews for major products and high-risk use cases and documents significant technical decisions and tradeoffs.

Partners with AI Engineer III staff on complex implementations and ensures enterprise standards are practical, testable, and maintainable in production.

Partners with Product Engineering and operational leaders to assess technical feasibility, identify reusable capabilities, and translate enterprise needs into architecture roadmaps.

Partners with Security, Privacy, Compliance, and responsible AI governance functions to embed required controls into architecture rather than treating governance as a post-development activity.

Defines principles for AI observability, telemetry, usage measurement, cost allocation, capacity planning, performance, resilience, and production support.

Guides technical approaches for AI incident response, root-cause analysis, rollback/fallback, model or provider outages, data-source failures, and other production risks.

Mentors AI Engineers and Product Developers, reviews complex technical designs, and raises enterprise AI engineering maturity through standards, education, and reusable patterns.

Maintains an enterprise AI technology roadmap and periodically reassesses architecture decisions as models, platforms, regulations, security requirements, and organizational needs evolve.

Performs other duties as assigned.

PHYSICAL DEMANDS AND WORK ENVIRONMENT

Frequent physical demands include:

None specified.

Occasional physical demands include:

Standing, Walking, Climbing (e.g., stairs or ladders), Carry objects, Push/Pull, Twisting, Bending, Reaching forward, Reaching overhead, Squat/kneel/crawl, Wrist position deviation, Pinching/fine motor activities

Continuous physical demands include:

Sitting, Keyboard use/repetitive motion

Lifting Floor to Waist 15 lbs. Lifting Waist Level and Above 10 lbs.

Sensory Requirements include: Accurate Near Vision, Accurate Far Vision, Color Discrimination, Minimal Depth Perception, Accurate Hearing

Anticipated Occupational Exposure Risks Include the following: N/A

This position is eligible for the following benefits:

Medical Plan
Prescription drug coverage & In-House Employee Pharmacy
Dental Plan
Vision Plan
Flexible Spending Account (FSA)

- Healthcare FSA

- Dependent Care FSA

Retirement Savings and Investment Plan
Basic Group Term Life and Accidental Death & Dismemberment (AD&D) Insurance
Supplemental Group Term Life & Accidental Death & Dismemberment Insurance
Disability Benefits – Long Term Disability (LTD)
Disability Benefits – Short Term Disability (STD)
Employee Assistance Program
Commuter Transit
Commuter Parking
Supplemental Life Insurance

- Voluntary Life Spouse

- Voluntary Life Employee

- Voluntary Life Child

Voluntary Legal Services
Voluntary Accident, Critical Illness and Hospital Indemnity Insurance
Voluntary Identity Theft Insurance
Voluntary Pet Insurance
Paid Time-Off Program

The pay range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered including, but not limited to location, years of relevant experience, education, credentials, negotiated contracts, budget, market data, and internal equity. Bonus and/or incentive eligibility are determined by role and level.

The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, differential pay or other forms of compensation, compensation allowance, or benefits health or welfare. Actual total compensation may vary based on factors such as experience, skills, qualifications, and other relevant criteria.

IT AI Solutions Architect - IT Data Analytics - Lawrenceville, NJ - Full-Time - Day

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