Lead AI Solutions Engineer

The Mutual Group

Lead AI Solutions Engineer developing AI-enabled solutions and prototypes for The Mutual Group's IT agenda. Collaborating on complex technical problems and establishing reusable components for AI platforms.

Posted 6/17/2026full-timeIllinois, Iowa, New Jersey, New York, North Carolina • 🇺🇸 United StatesSenior💰 $150,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityMicroservices

About the role

Key responsibilities & impact

The Lead AI Solutions Engineer will lead hands-on design and delivery of AI-enabled solutions, prototypes, accelerators, integrations, and reference implementations that support The Mutual Group’s and its member insurance carriers AI-First IT agenda.
This role is a senior individual contributor position for an experienced engineer who can stay close to the work, solve complex technical problems, and help turn AI concepts into secure, practical, production-ready capabilities.
This role will focus heavily on applying AI to software engineering, automation, developer productivity, IT operations, and repeatable delivery patterns.
The Lead AI Solutions Engineer will also support AI-enabled business use cases and help build reusable components for future AI platforms.
The successful candidate will be comfortable moving between rapid experimentation and disciplined engineering, with a strong focus on security, quality, scalability, and measurable business value.
The role will work closely with AI platform leaders, architects, application teams, infrastructure and operations teams, data teams, security, risk governance, and business partners.
This individual will help prove what works, document patterns, and enable broader adoption across IT over time.

Requirements

What you’ll need

8+ years of progressive technology experience across software engineering, integration engineering, automation, cloud, data, platform engineering, IT operations, or enterprise technology delivery.
5+ years of experience with AI, machine learning, automation, advanced analytics, intelligent platforms, developer productivity tools, or emerging technology capabilities.
Strong hands-on experience with Generative AI patterns, including LLMs, SLMs, embeddings, prompt engineering, RAG, vector databases, semantic search, evaluation frameworks, and enterprise knowledge integration.
Experience building Agentic AI solutions using agents, tool/function calling, orchestration, human-in-the-loop workflows, context management, guardrails, monitoring, and safe deployment practices.
Familiarity with Model Context Protocol (MCP) or similar methods for connecting AI systems to enterprise tools, APIs, data sources, and workflows.
Strong engineering fluency across APIs, microservices, cloud platforms, data integration, CI/CD, DevSecOps, test automation, observability, cybersecurity, identity, and privacy.
Experience building production-grade applications, integrations, automation components, reusable engineering assets, or developer productivity tools.
Experience working in regulated environments with strong security, privacy, auditability, operational readiness, and compliance expectations preferred.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field required.

Benefits

Comp & perks

Competitive base salary plus incentive plans for eligible team members
401(K) retirement plan that includes a company match of up to 6% of your eligible salary
Free basic life and AD&D, long-term disability and short-term disability insurance
Medical, dental and vision plans to meet your unique healthcare needs
Wellness incentives
Generous time off program that includes personal, holiday and volunteer paid time off
Flexible work schedules and hybrid/remote options for eligible positions
Educational assistance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AImachine learningautomationadvanced analyticsGenerative AILLMsSLMsprompt engineeringAPIsmicroservices

Soft Skills

problem solvingcollaborationcommunicationadaptabilityleadershipdocumentationexperimentationdisciplinefocus on securityfocus on quality