Forward Deployment AI Engineer III (Embedded Solutions)

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 a talented Forward Deployment AI Engineer III (Embedded Solutions) to join our team.

Summary:

The Forward Deployed AI Engineer serves as a strategic technical partner to business units, designing and delivering AI-powered solutions that improve operational effectiveness and accelerate business outcomes. Working at the intersection of business and technology, this role applies expertise in software engineering, data, and artificial intelligence to translate complex challenges into scalable solutions while aligning with enterprise standards, governance, and architectural frameworks.

Responsibilities:

Business Engagement & Solution Discovery

• Partners directly with business stakeholders to understand workflows, identify inefficiencies, and uncover high-value opportunities for AI-driven solutions.
• Translates ambiguous business problems into practical AI approaches, leveraging LLMs, automation, and data-driven techniques.
• Facilitates discovery sessions to align on problem definition, success criteria, and measurable outcomes.

Rapid Prototyping & Iterative Delivery

• Designs, builds, and iterates on AI-powered solutions with a focus on speed, usability, and business value.
• Develops prototypes and proofs-of-concept using modern AI tools, including LLM APIs, agentic workflows, and orchestration frameworks.
• Refines solutions based on stakeholder feedback, usage patterns, and observed outcomes.

AI Solution Development

• Builds end-to-end AI solutions tailored to specific business unit needs, including LLM-based applications, retrieval-augmented generation (RAG) systems, and intelligent automation workflows.
• Leverages AI-assisted development tools to accelerate design, coding, testing, and deployment activities.
• Applies appropriate architectural patterns to balance rapid delivery with long-term scalability and maintainability.

Production Readiness & Evolution

• Evolves prototypes into production-ready solutions by improving performance, reliability, observability, and cost efficiency.
• Implements monitoring, evaluation, and feedback loops to measure solution effectiveness and business impact.
• Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior, ensuring responsible AI practices are applied.

Alignment with Enterprise Standards

• Aligns solutions with established enterprise architecture, security, and AI standards while enabling speed and flexibility.
• Collaborates with centralized AI and architecture teams to leverage shared platforms, tools, and best practices.
• Contributes learnings and patterns back to the broader organization to improve repeatability and scale.

Collaboration & Influence

• Acts as a trusted technical advisor to business and technical stakeholders.
• Communicates complex technical concepts in a clear, actionable manner to non-technical audiences.
• Shares knowledge and best practices across teams, contributing to a culture of innovation and continuous improvement.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent demonstrated practical experience.
• Six or more years (6+) of experience in  software engineering, data engineering, machine learning engineering, or AI system development.
• Demonstrated experience delivering solutions in ambiguous, fast-changing environments, with a focus on business outcomes.
• Strong proficiency in software engineering, including Python, APIs, and modern application development practices.
• Hands-on experience designing and building AI/LLM-based applications, including prompt engineering, RAG, and agentic workflows.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
• Ability to rapidly prototype and iterate on solutions using modern AI development tools and platforms.
• Strong understanding of data modeling, data quality, and how data influences AI system performance.
• Practical knowledge of AI evaluation techniques and common failure modes, including bias, hallucination, and unintended behaviors.
• Ability to balance speed and scalability, making sound tradeoffs between rapid delivery and long-term maintainability.
• Strong problem-solving and analytical skills, particularly in translating business needs into technical solutions.
• Excellent communication and stakeholder engagement skills, with the ability to work effectively across technical and non-technical audiences.
• Demonstrated adaptability, curiosity, and willingness to experiment with emerging AI tools and techniques.

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.