Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We’ve earned recognition time and again as a top place to work—named among the best by respected organizations like Glassdoor and U.S. News & World Report. We’re also proud to be recognized for one of the country’s Top 50 Midsize Early Talent Programs through RippleMatch’s Campus Forward Awards. There’s never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.

Why Insperity?

Flexibility: Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community.

Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

We are seeking an Artificial Intelligence Engineer III to join our team

Summary:

This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.

Responsibilities:

• Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.

• Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.

• Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.

• Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.

• Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.

• Owns production readiness, including performance, reliability, cost, observability, and failure handling.

• Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.

• Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.

• Mentors and provides technical guidance to other team members.

• Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.

• Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.

• Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

• Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.

• Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.

• Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.

• Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.

• Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.

• Experience deploying, monitoring, and iterating on AI systems in production environments.

• Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.

• Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position.  Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.