Lead, AI Solution Engineer

At TruStage, we’re on a mission to make a brighter financial future accessible to everyone.  We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance and financial services solutions, we push the boundaries of what’s possible. We need you to help us shape what’s next. You’ll be encouraged to share your experiences, ideas and skills to help others take control of their financial future.

Join a team that has received numerous awards for being a top place to work:TruStage awards and recognition

Job Responsibilities:

List of general activities, duties and/or tasks typically performed within the job.

• Partner with business leaders, internal consulting, and innovation teams to identify and prioritize high-value AI and automation opportunities across underwriting, claims, fraud, customer service, and operations.
• Translate business requirements into scalable technical architectures and delivery roadmaps spanning AI, RPA, BPM, and PaaS solutions integrated with core policy, billing, and claims platforms.
• Design, build, and deploy production-grade ML and GenAI solutions that address complex business problems and operate reliably at enterprise scale.
• Architect and implement end-to-end AI pipelines encompassing data ingestion, feature engineering, model training and validation, MLOps, monitoring, and continuous improvement.
• Collaborate with technology teams to embed AI models into automated workflows and decisioning processes with appropriate reliability, auditability, and control.
• Provide technical leadership in defining AI product vision, MVPs, backlogs, and scaling plans in partnership with product management and engineering teams.
• Guide the adoption of cloud and PaaS platforms to deliver AI and data solutions while ensuring alignment with security, compliance, performance, and cost expectations.
• Implement responsible AI practices including explainability, bias and fairness testing, documentation, and ongoing model monitoring aligned with regulatory standards.

The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.

Job Requirements:

List of general education, background and experience, knowledge, skills, and abilities typically required to effectively perform the responsibilities of the job. Also include any required licenses and/or designations.

• Bachelor’s degree in computer science, data science, engineering, statistics, or related field, or equivalent combination of education and/or related professional work experience; advanced degree preferred.
• 7+ years of experience across data science, software engineering, and/or solutions architecture, with at least 3 years focused on AI/ML delivery.
• Proven ability to lead proofs of concept and pilots, validate feasibility and value, and transition successful solutions into production.
• Product-oriented mindset with experience working in agile delivery models to define, prioritize, and deliver AI capabilities.
• Strong hands-on experience building AI and ML solutions using Python and modern ML frameworks, with the ability to deploy models into production environments.
• Demonstrated experience operationalizing AI solutions as scalable services integrated with enterprise systems and workflows.
• Experience designing and implementing GenAI and LLM-based solutions, including retrieval-augmented generation, embeddings, and evaluation and guardrail techniques.
• Solid foundation in data engineering and analytics, including SQL, data modeling, and working with modern data platforms.
• Working knowledge of modern software engineering practices, including version control, CI/CD, testing, observability, and secure SDLC.
• Experience designing and delivering solutions on major cloud platforms using managed AI/ML and PaaS services.
• Knowledge of API-based and event-driven architectures, containerization, and orchestration for scalable AI services.
• Experience working in regulated industries, with an understanding of enterprise data domains and governance considerations.
• Preferred:
  • Prior experience in insurance, InsurTech, or other highly-regulated financial services.

If you’re ready to help make a difference, apply today. A resume is required to apply. TruStage may process applicant information using an Artificial Intelligence (AI) tool. This tool automatically generates a screening score based on how well applicant information matches the requirements and qualifications for the position. TruStage recruiters use the screening score as a guide to further evaluate candidates; the score is one component of an application review and does not automatically determine whether a candidate moves forward. Candidates may choose to opt out of this process.

Compensation may vary based on the job level, your geographic work location, position incentive plan and exemption status.

Base Salary Range:

At TruStage, we believe a sound, inclusive benefits program is of vital importance, along with a flexible workplace that allows for work-life balance, career growth and retirement assistance. In addition to your base pay, your position may be eligible for an annual incentive (bonus) plan.  Additional benefits available to eligible employees include medical, dental, vision, employee assistance program, life insurance, disability plans, parental leave, paid time off, 401k, and tuition reimbursement, just to name a few. Beyond pay and benefits, we also recognize that flexibility, including working in a place you prefer, is essential to caring for our employees.  We will continue to strive to offer flexibility and invest in technology and other tools that will make hybrid working normal rather than an exception, so that when “life happens,” you can focus on what’s most important.

Accommodation request

TruStage is a place where everyone can bring their best self and thrive. If you need application or interview process accommodations,please contact theaccessibility department.