Senior AI/ML Engineer
Listed on 2026-08-13
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer
Primary Duties and Responsibilities:
You bring the motivation, teamwork, and integrity and we will provide the collaborative culture, professional development, and opportunity to build a meaningful career at Wespath!
Location:
1901 Chestnut Ave
Glenview, Illinois, 60025
United States
Category:
Information Technology
Date Needed by: 11/5/2026
Wespath is an Equal Opportunity Employer that is committed to a diverse and inclusive company culture and does not discriminate against applicants and employees because of disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law.
Wespath’s Information Technology team has an opportunity for a Senior AI/ML Engineer. This role is a hands‑on software developer responsible for designing, building, deploying, and supporting secure AI‑enabled solutions that improve business and IT productivity. This role develops AI agents, copilots, automations, integrations, and reusable components using approved enterprise data, documentation, APIs, Microsoft AI platforms, AWS AI services, and cloud‑native deployment patterns.
The position partners with Product Management, business stakeholders, IT teams, and governance partners to turn defined opportunities into reliable, scalable, and production‑ready AI solutions that reduce manual effort, improve knowledge discovery, accelerate software delivery, enhance service quality, and increase operational efficiency.
- Design, build, test, deploy, and support AI‑enabled applications, agents, copilots, automations, and integrations.
- Evaluate market and software trends to recommend useful AI solutions to IT leadership.
- Recommend software platforms and solution approaches that align with business and technology needs.
- Help shape organization‑wide AI strategy and data practices for management, governance, curation, and AI readiness.
- Convert defined business and IT use cases into practical, production‑ready AI solutions that deliver measurable business value through automation, improved decision support, increased productivity, and operational efficiency.
- Partner with stakeholders to define success criteria and measure business impact of deployed AI solutions.
- Develop agents that securely use approved enterprise content, data sources, APIs, and workflows to answer questions or complete tasks.
- Prepare enterprise documents and data for AI use through metadata, indexing, retrieval design, validation, and content quality improvements.
- Build reusable prompts, skills, connectors, templates, and technical patterns that accelerate future AI solution delivery.
- Integrate AI solutions with enterprise systems, collaboration tools, identity services, approved data platforms, and cloud‑native services across Azure, AWS, or similar environments.
- Apply approved standards for security, privacy, PHI/PII protection, access control, monitoring, and responsible AI use.
- Monitor, troubleshoot, improve, and document deployed AI solutions so they remain reliable, supportable, and aligned with user needs.
- Choose the medical, dental, vision, and well‑being benefits that best fit your needs from day one.
- 8% employer contribution to retirement plan with an additional match up to 2% on day one.
- 22 days of PTO + 12 paid holidays.
- Hybrid working arrangement.
- The compensation range for this position is $162,000 – $202,500 with a bonus opportunity and customary benefits. Final compensation will be set based on the hired applicant’s qualifications (education, training, and/or experience related to this role), and as such, may fall outside the range shown.
Qualifications:
- 7+ years of professional software development experience, including 2+ years of designing, developing, or deploying AI‑enabled solutions in enterprise environments.
- Experience delivering AI solutions that demonstrate measurable business outcomes such as productivity gains, process automation, knowledge discovery, service improvements, or cost reduction.
- Proficient in Python…
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