Artificial Intelligence Engineer III

Insperity

United States

On-site

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Flexibility
Career Growth
Well-Being

Job summary

Insperity seeks an Artificial Intelligence Engineer III to design, deliver and own complex, production-grade AI systems addressing high-impact business problems. This role applies advanced software, data science, ML, and LLM engineering to build AI-powered applications, model-driven solutions, and automated workflows with autonomy and enterprise standards.

The candidate will collaborate across product management, platform teams and stakeholders, mentor others, and contribute to AI engineering

Qualifications

  • Bachelor’s degree in CS, software engineering, data science, or related field.
  • Five+ years of professional software, data science, ML, or AI system experience.
  • Advanced proficiency in Python, APIs, testing, and system design.
  • Experience with large-scale data platforms such as Snowflake, Databricks, Redshift, Synapse.
  • Strong knowledge of ML/AI concepts, evaluation, and failure modes.
  • Hands-on experience with LLM-based systems and enterprise frameworks.
  • Experience with AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel).
  • Deep understanding of data quality, feature relevance, and model behavior.

Responsibilities

  • Designs and owns end-to-end AI solutions, including LLM-based apps and ML models.
  • Operates complex AI systems like RAG platforms and decision-support solutions.
  • Evaluates business problems to select AI patterns and architectures.
  • Implements evaluation strategies, metrics, and feedback loops for model impact.
  • Leads data pipelines, features, and calibration datasets for AI systems.
  • Owns production readiness: performance, reliability, and cost.
  • Mitigates bias, data leakage, and unintended AI behavior.
  • Collaborates with product, platform teams, and stakeholders on design.
  • Mentors and provides technical guidance to team members.
  • Contributes to AI engineering standards and best practices.

Skills

Python
APIs
Testing
System design
LLM engineering
LangChain
Data quality
Production deployment
Leadership

Education

Bachelor's degree in CS / related field

Tools

Snowflake
Databricks
Redshift
Microsoft Synapse
LangChain
LLamaIndex

Job description

Artificial Intelligence Engineer III

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.

Benefits

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.

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.

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