AI Solutions Delivery Lead; AWS

Position: AI Solutions Delivery Lead (AWS Experience Required))
AI Solutions Delivery Lead (Insurance Experience Required) page is loaded## AI Solutions Delivery Lead (Insurance Experience Required) locations:
Morristown, NJtime type:
Full time posted on:
Posted Todayjob requisition :
JR100798

At Coaction, we’re a unique mix of leaders, achievers, thinkers, and team players with a high-performance mindset and a diverse skillset. We bring our industry expertise together to continually push the boundaries of what insurance can be for our clients.
** Role Overview
** Coaction is executing a multi-year enterprise AI transformation. This role leads the technical delivery and engineering execution of AI solutions across the enterprise. The Director, AI Solutions Delivery partners closely with Product Owners, Architecture, and Infrastructure teams to turn approved AI use cases into production-ready solutions using internal staff and external partners.

This is a hands-on player-coach role focused on delivery excellence, engineering rigor, and building internal capability.

Role Mission Build the organization’s AI solution delivery engine by owning how AI solutions are built, deployed, and scaled sustainably.
** Key Responsibilities
** End-to-End Technical Delivery of AI Solutions Translate product requirements into technical delivery plans. Lead solution design and implementation. Manage delivery teams (employees and consultants) Ensure performance, security, and reliability.
** AI Engineering & Architecture Leadership
** Define reference architectures and delivery patterns. Align with enterprise architecture and security standards. Establish engineering best practices. Establish AI Delivery Standards & Playbooks
** LLMOps/MLOps lifecycle practices
** Testing, monitoring, and observability Documentation and knowledge transfer Build Internal AI Engineering Capability Upskill teams and lead knowledge transfer. Mentor engineers and define hiring needs.
** Vendor & Delivery Partner Leadership
** Manage implementation partners. Ensure knowledge transfer and long-term maintainability.
** Collaboration Across Technology Leadership
** Partner with Product, Architecture, Infrastructure, Security, and Data teams
** Required Experience
** 12+ years in software/data engineering or solution delivery leadership

Proven record delivering complex production systems.

Experience leading cross-functional engineering teams.

Experience delivering solutions using internal staff and external partners.

Demonstrated success building new technical capabilities internally.
** Preferred Experience
** Experience in insurance, financial services, or regulated industries

Working knowledge of Property & Casualty workflows (underwriting, claims, policy lifecycle)
Familiarity with document-heavy and unstructured data workflows
** Technical Expertise
** LLM systems, RAG, agentic workflows, prompt engineering

AI engineering, CI/CD, evaluation, monitoring

Cloud, APIs, event-driven architecture, data governance
** Leadership Capabilities
** Strong technical leadership and delivery discipline

Ability to lead mixed teams (employees + consultants)
Effective communication and stakeholder management
** Success Metrics (6–12 Months)
** Deliver 2–4 AI solutions into production.

Establish AI delivery standards and monitoring practices.

Build a plan to scale the internal AI engineering team.

Reduce reliance on external partners over time.

Salary range specific to for this role : $207,000-$265,000 + discretionary incentive bonus + benefits depends on various factors including, without limitation, individual and organizational performance. The offered rate of compensation will be based on individual education, experience, and qualifications.  In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement.
** Equal Opportunity Employer
** Coaction is an Equal Employment Opportunity employer. Coaction’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law.…