Senior AI/ML Engineer: Build Production AI Solutions

Wespath; Glenview (IL); Hybrid; USD 162,000 - 203,000; Full time

Benefits offered by this job

Hybrid working arrangement

Retirement plan with company match

Job summary

Wespath is seeking a Senior AI/ML Engineer to design, build, deploy, and support secure AI-enabled solutions. You will develop AI agents, copilots, and automations using enterprise data, APIs, and cloud platforms, partnering with stakeholders to deliver measurable business value.

You will shape AI strategy and data practices, work across Azure/AWS environments, and ensure governance, security, and compliance in production systems, contributing to improved productivity and efficiency.

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 and commonly used AI/ML technologies.
• Experience designing, testing, deploying, and supporting production software solutions in enterprise environments.
• Working knowledge of modern AI and language model concepts and experience building applications with LLM APIs, prompt/context engineering, RAG, embeddings, vector search, and model evaluation.
• Understanding of agentic AI concepts including task planning, human-in-the-loop review, orchestration, guardrails, and evaluation of agent behavior.
• Experience working with relational, document, or enterprise knowledge sources such as SQL Server, Oracle, Microsoft Fabric, SharePoint, or similar.
• Strong analytical, troubleshooting, documentation, and problem-solving skills.

Responsibilities

• 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.

Skills

Python

AI/ML concepts

LLM APIs

Agentic AI

Analytical skills

Troubleshooting

Documentation

Tools

GitHub Copilot

Claude Code

Prompt management frameworks

Azure AI Foundry

Azure AI Search

Amazon SageMaker

OpenSearch

Pinecone

Job description

Wespath is seeking a Senior AI/ML Engineer to design, build, deploy, and support secure AI-enabled solutions. You will develop AI agents, copilots, and automations using enterprise data, APIs, and cloud platforms, partnering with stakeholders to deliver measurable business value.

You will shape AI strategy and data practices, work across Azure/AWS environments, and ensure governance, security, and compliance in production systems, contributing to improved productivity and efficiency.