Artificial Intelligence Engineer III

🕒 April 30

🤠 Texas – Remote

🤠 Texas – Remote

💵 $138.9k - $169.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Insperity

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1986

👥 HR Tech

🤝 B2B

HR Tech • B2B

Insperity is a U. S. -based provider of HR outsourcing and workforce-management solutions that help businesses of all sizes manage payroll, benefits, compliance and talent. As a professional employer organization (PEO), Insperity offers full-service HR solutions (Insperity HR 360), streamlined payroll and workforce platforms (HR Core, HR Scale), plus additional services like contractor management, talent acquisition, retirement and insurance services, and employee perks. The company combines HR technology with outsourced HR expertise to support small, midsize and larger businesses in reducing HR admin, mitigating compliance risk and improving employee experience.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Generous paid time off • Top-tier medical, dental and vision benefits • Health & wellness support • Paid volunteer hours