AI Technical Product Architect
Apex Systems, Fort Mill, SC, United States
AI Technical Product Architect
Job#: 3028133
Location:
Remote
Employment Type:
Contract to Perm
Role Overview 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, including 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.
Equal Opportunity Employer Apex is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with applicable law.
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Location:
Remote
Employment Type:
Contract to Perm
Role Overview 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, including 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.
Equal Opportunity Employer Apex is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with applicable law.
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