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.

Company: The Mutual Group

Role: Lead AI Solutions Engineer

Location: Iowa - TMG Home Office, New York, New Jersey, Illinois, North Carolina (In Office, Hybrid, or Remote)

Experience:

8+ years of progressive technology experience
5+ years of experience with AI, machine learning, automation, advanced analytics, intelligent platforms, developer productivity tools, or emerging technology capabilities

Key Skills:

Generative AI patterns
LLMs
SLMs
embeddings
prompt engineering
RAG
vector databases
semantic search
enterprise knowledge integration
Agentic AI solutions
Model Context Protocol (MCP)
APIs
microservices
cloud platforms
data integration
CI/CD
DevSecOps
test automation
observability
cybersecurity
identity
privacy

Qualification:

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field
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

Role Focus:

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

Additional responsibilities:

Develop Generative AI solutions using LLMs, SLMs, embeddings, prompt engineering, retrieval-augmented generation, 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
Work with AI platform and architecture teams to contribute reusable patterns for model access, prompt handling, response validation, observability, and production support

Other:

Anticipated Hiring Range: $150,000 - $170,000 annual base salary depending on experience, qualifications, and geographic location
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

Lead AI Solutions Engineer

Skills Required

Description