What are the responsibilities and job description for the Director, AI Engineering & Delivery (AWS Experience Required) position at Coaction Global?
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.
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. Coaction also prohibits harassment of applicants or employees based on any of these protected categories.
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.
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.
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. Coaction also prohibits harassment of applicants or employees based on any of these protected categories.
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.