Lead AI Solutions Engineer

TMG Insurance Services, LLC; Iowa (LA); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

401(K) retirement plan with company match

Medical, dental, and vision plans

Generous time off program

Job summary

TMG Insurance Services, LLC is seeking a Lead AI Solutions Engineer to design and deliver AI-enabled solutions. This role emphasizes automation, developer productivity, and measurable business value in a hybrid work environment.

The ideal candidate has over 8 years of technology experience, particularly in AI and software engineering, and will lead the implementation of innovative solutions that improve operational efficiency.

Qualifications

• 8+ years of progressive technology experience across software engineering or enterprise technology delivery.
• Strong hands-on experience with Generative AI patterns.
• Familiarity with Model Context Protocol (MCP) for connecting AI systems.

Responsibilities

• Lead design, development, and implementation of AI-enabled solutions.
• Translate business needs into technical designs and working software.
• Measure and communicate improvements in cycle time and quality.

Skills

AI and machine learning

Software engineering

Automation

Cloud platforms

Data integration

Developer productivity tools

Education

Bachelor’s degree in Computer Science or related field

Tools

Generative AI frameworks

APIs

CI/CD tools

Job description

Lead AI Solutions Engineer

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 senior individual‑contributor role focuses heavily on applying AI to software engineering, automation, developer productivity, IT operations, and repeatable delivery patterns. The Engineer will move between rapid experimentation and disciplined engineering, with a strong focus on security, quality, scalability, and measurable business value.

Work Arrangement

Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in‑office schedule. The initial training period may require additional in‑office days.

Accountabilities

• Lead hands‑on design, development, testing, and implementation of AI‑enabled solutions, prototypes, accelerators, and reference implementations.
• Translate business and technology needs into practical technical designs, working software, integration patterns, and reusable engineering assets.
• Build AI‑enabled capabilities for workflow automation, knowledge retrieval, document intelligence, summarization, classification, triage, decision support, engineering productivity, and operational efficiency.
• Partner with architects and senior engineers to ensure solutions are scalable, secure, observable, maintainable, and aligned with enterprise standards.
• Move quickly from proof of concept to production‑ready implementation while maintaining strong quality, documentation, and operational discipline.
• Develop Generative AI solutions using LLMs, SLMs, embeddings, prompt engineering, RAG, vector databases, semantic search, and enterprise knowledge integration.
• Build and refine Agentic AI patterns, including tool and function calling, workflow orchestration, human‑in‑the‑loop controls, context management, guardrails, monitoring, and safe execution.
• Use Model Context Protocol (MCP) or similar approaches to connect AI systems with enterprise tools, APIs, data sources, and workflow actions in a secure and governed manner.
• Implement evaluation approaches for AI outputs, including accuracy, relevance, consistency, cost, latency, user feedback, and business value.
• Lead practical implementation of AI‑assisted engineering workflows including coding, testing, documentation, requirements analysis, code review, quality engineering, and developer productivity.
• Build automation components that improve software delivery, release readiness, test generation, documentation quality, and engineering efficiency.
• Partner with Infrastructure and IT Operations teams to apply AI to observability, incident summarization, root cause analysis, predictive monitoring, runbook automation, service management, and operational productivity.
• Create reusable scripts, integrations, templates, workflows, and playbooks that help existing IT teams adopt AI‑enabled practices.
• Measure and communicate improvements in cycle time, quality, test coverage, automation adoption, operational efficiency, and service resilience.
• Integrate AI capabilities with enterprise applications, data platforms, APIs, document repositories, workflow tools, service management platforms, and cloud services.
• Apply secure‑by‑design and privacy‑by‑design practices in solution development, including identity and access controls, sensitive data handling, logging, monitoring, and output validation.
• Prepare solutions for production through testing, observability, support documentation, runbooks, deployment readiness, and operational handoff.
• Identify technical risks, dependencies, performance issues, cost considerations, and support needs early in the delivery process.
• Coordinate across engineers, architects, contractors, vendors, and partner teams to manage priority AI initiatives.
• Mentor engineers on AI solution patterns, coding practices, integration approaches, testing, documentation, and production readiness.
• Create reusable technical documentation, implementation guides, reference examples, and enablement materials for broader IT adoption.
• Participate in design reviews, code reviews, architecture discussions, and technical problem‑solving.
• Model a hands‑on, accountable, continuous‑learning mindset that raises the bar for engineering quality and delivery.

Qualifications

• 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.

Leadership Attributes

• Hands‑on technical leader who leads from the front and stays close to the work.
• Practical problem solver with strong analytical reasoning and bias for action.
• Strong delivery owner who manages complexity, dependencies, quality, and risk.
• Collaborative partner who works effectively across engineering, infrastructure, data, security, operations, architecture, and business teams.
• Clear communicator who can explain technical options, tradeoffs, and risks.
• Continuous learner who raises engineering standards and helps teams adopt AI‑enabled ways of working.

Pay Range

Anticipated Hiring Range: $150,000 - $170,000 annual base salary depending on experience, qualifications, and geographic location. For CA, CT, MA, NJ, NY, and PA the range is $150,000 - $180,000.

Benefits

• Competitive base salary plus incentive plans for eligible team members.
• 401(K) retirement plan with 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.
• Wellness incentives.
• Generous time off program including personal, holiday, and volunteer paid time off.
• Flexible work schedules and hybrid/remote options for eligible positions.
• Educational assistance.

Equal Opportunity Employer

The Mutual Group is an Equal Opportunity Employer. We are committed to recruiting, hiring, training, and promoting individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity, or any other characteristic protected by law.

Employment Verification & E-Verify

The Mutual Group participates in the E-Verify program and all offers of employment are contingent upon the successful completion of a background check.