AI Technical Product Architect

AI Technical Product Architect

The Technical Product Architect for Artificial Intelligence (AI) owns the technical strategy, execution approach, and delivery timeline for AI-enabled product solutions. This role functions as a Solutions Architect and Principal Engineer, responsible for ensuring AI solutions are technically feasible, scalable, and aligned with product outcomes. Operating within a product-centric model, this individual will partner with product managers, designers, and engineers to shape solutions that transform healthcare.

Key Responsibilities

• Define and own the AI solution architecture across patient, clinical, and operational domains.
• Lead technical execution, including architecture decisions, delivery planning, and quality assurance.
• Provide technical leadership and mentorship to engineering teams.
• Ensure AI solutions adhere to responsible AI principles and regulatory standards.
• Drive the integration of AI/ML models into production systems using modern MLOps practices.
• Collaborate with product leadership to align technical investments with business priorities.
• Translate product discovery insights into technical feasibility analyses, estimates, and delivery plans.
• Stay current with emerging AI technologies and identify opportunities for innovation.

Required Qualifications

Education: A Bachelor's degree in Engineering, Computer Science, or a related field is required.

Experience:

• Minimum of 2 years in a technical product architecture or solution architecture role within software, data, or AI engineering.
• Minimum of 4 years in a lead or senior engineering role, guiding teams in the development of software products.
• Demonstrated experience with end-to-end AI solution delivery, including LLMs, predictive models, RAG, and MLOps.
• Experience in healthcare or another highly regulated technology environment is required.

Technical Skills:

• Proficiency in Python/Pyspark and Java programming.
• Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
• Strong system design and architecture skills, with a focus on cloud-native, scalable, and production-grade solutions.
• Knowledge of and experience implementing knowledge graphs (such as Neo4j) in production solutions.
• Experience implementing GraphRAG to improve LLM response in production AI/ML products.
• Proficiency with public cloud platforms, ideally Azure.
• Expertise across APIs, microservices, systems integration, event-driven architectures, and data engineering.

Preferred Qualifications

• Experience designing production AI/ML applications using big data technologies and data pipeline orchestration tools.

Compensation & Benefits

A comprehensive benefits package is available. This includes medical, dental, and vision insurance, a 401(k) program, and an Employee Stock Purchase Program (ESPP). Further details will be provided during the hiring process.

We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.