Lead Solutions Engineer; AI - CMP

A growing organization in the insurance and financial services sector is seeking a Lead AI Solutions Engineer to provide hands‑on technical leadership within small, high‑impact engineering teams building AI‑native platforms and intelligent automation solutions. The Lead AI Solutions Engineer serves as the technical authority for the team, defining architecture, development standards, and AI‑driven delivery patterns while contributing directly to coding and solution design.

• Define and evolve AI‑driven development pipelines that automate requirements, code generation, testing, security scanning, and deployment.
• Architect and deliver AI‑native applications and intelligent interfaces that transform how users interact with complex business systems.
• Provide hands‑on technical leadership, contributing to architecture, development, and code reviews while setting engineering standards for the team.
• Design and implement cloud‑native solutions on AWS, leveraging managed services and serverless technologies.
• Lead the design of secure integrations between internal platforms and third‑party SaaS systems.
• Establish security, compliance, and governance guardrails aligned with HIPAA, SOC 2, and insurance regulatory requirements.
• Mentor engineers and guide technical decision‑making within the team.
• Collaborate with platform, Dev Ops, product, and security teams to ensure scalable, compliant solution delivery.
• Evaluate and adopt emerging AI tools, frameworks, and engineering practices to improve development velocity and system capability.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).
• 6–10 years of software engineering experience, including recent work with AI‑enabled development tools or AI‑driven delivery practices.
• Demonstrated experience providing technical leadership and architectural direction within engineering teams.
• Strong experience designing cloud‑native systems, preferably on AWS.
• Experience building AI‑powered applications, automation workflows, or intelligent interfaces.
• Expertise in API design, integrations, and distributed system architecture.
• Familiarity with CI/CD pipelines, Dev Ops practices, and AI‑assisted development workflows.
• Knowledge of security and compliance standards in regulated environments (e.g., HIPAA, SOC
  2).
• Strong communication and mentorship skills with the ability to guide technical decisions and collaborate with stakeholders.

Salary is based on a range of factors that include relevant experience, knowledge, skills, other job‑related qualifications.