Director, AI Engineering & Delivery (AWS Experience Required)

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.
• Equal Opportunity Employer
• If your application is selected, you will receive an email directly from the Coaction Recruiting Team at coaction@myworkday.com asking you to contact a member of the Coaction Recruiting Team. Any other method of contact may be fraudulent.

Benefits

Additional Information

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, and this role sits at the center of it. As Director of AI Engineering & Delivery, you will own how AI solutions are built, deployed, and scaled across the enterprise - from concept to production. This is a hands-on player-coach role. You'll lead and grow an internal AI engineering team, set the technical standards and playbooks that govern delivery, and partner closely with Product, Architecture, Infrastructure, and Security to turn approved use cases into reliable, production-grade systems. You'll also manage external delivery partners and progressively reduce reliance on them over time. If you've spent your career shipping real AI systems - not just prototypes - and you want to build something that lasts inside a company committed to the work, this role is for you. Role Mission Build the organization's AI solution delivery engine by owning how AI solutions are built, deployed, and scaled sustainably.

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