Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field, or equivalent experience.
6+ years of experience in software engineering, data engineering, machine learning, or AI system development.
Experience delivering solutions in fast-changing environments focused on business outcomes.
Proficiency in software engineering, particularly with Python and APIs.
Hands-on experience with AI/LLM-based applications, including prompt engineering and RAG.
Familiarity with AI orchestration frameworks like LangChain or similar.
Strong understanding of data modeling and its impact on AI performance.
Responsibilities
Partner with business stakeholders to identify inefficiencies and opportunities for AI solutions.
Translate business problems into practical AI approaches using LLMs and automation.
Facilitate discovery sessions to define problems and success criteria.
Design and iterate on AI-powered solutions focusing on speed and usability.
Develop prototypes using modern AI tools and frameworks.
Evolve prototypes into production-ready solutions by enhancing performance and reliability.
Align solutions with enterprise architecture and collaborate with centralized AI teams.
Benefits
Opportunity to work at the intersection of business and technology.
Engagement in innovative AI projects with direct business impact.
Collaborative environment with a focus on continuous improvement.
Access to modern AI tools and frameworks for solution development.
Support for professional growth and learning in emerging AI technologies.
Full Job Description
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.
About Insperity
Insperity, Inc. provides human resources (HR) and business solutions to enhance business performance for small and medium-sized businesses in the United States. The company offers its HR services through its Workforce Optimization and Workforce Synchronization solutions, which include a range of human resources functions, such as payroll and employment administration, employee benefits, workers' compensation, government compliance, performance management, and training and development services. Insperity, Inc. was founded in 1986 and is headquartered in Kingwood, Texas.
