Director, Applied AI Engineering

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for the twelfth consecutive year in a row and for the 20th time overall as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB   The Director of Applied AI Engineering is a senior leader responsible for the delivery and operation of generative and agentic AI solutions across the enterprise. This role leads a team of engineers who design, build, deploy, and support generative and agentic AI capabilities that address business needs in underwriting, claims, distribution, finance, and corporate operations. The Director owns AI Platforms, the shared enterprise capability through which these solutions reach and remain in production, comprising managed foundation model services, agent runtime and orchestration, and machine learning operations. The Director sets engineering standards for generative and agentic AI development and establishes the operating model by which this work is delivered and supported. The Director collaborates closely with data services, cloud and infrastructure engineering, product management, and enterprise risk and governance functions to ensure solutions are well-founded, responsibly deployed, and sustainable in production.   ESSENTIAL DUTIES AND RESPONSIBILITIES   Leads the design, development, and production delivery of generative and agentic AI solutions across the enterprise, including generative AI applications, intelligent document processing, conversational interfaces, and agentic and multi-agent workflows.   Owns AI Platforms, including managed foundation model services (Amazon Bedrock), agent runtime and orchestration (Bedrock AgentCore), and machine learning operations — model registry, feature engineering, deployment pipelines, model serving, versioning, evaluation, and production monitoring.   Operates AI Platforms as a shared enterprise capability, onboarding and supporting engineering, analytics, and data science teams as platform tenants and defining the standards and guardrails under which they build.   Establishes and maintains engineering standards for generative and agentic AI development, including prompt and context management, evaluation frameworks, testing practices, documentation, and release management.   Directs the delivery model for generative and agentic AI work, including team structure, capacity planning, and management of commitments to business stakeholders.   Partners with data and AI product management, who own intake and prioritization, to convert the prioritized portfolio into achievable delivery commitments.   Oversees production support for generative and agentic AI solutions, ensuring reliability, performance, and issue resolution within established service levels.   Maintains capacity for applied research and evaluation of emerging generative and agentic AI capabilities, balancing exploratory work against production delivery commitments.   Evaluates emerging generative and agentic AI technologies, foundation models, platforms, and vendors; makes build-versus-buy recommendations and recommends adoption when appropriate.   Partners with enterprise risk and governance functions to ensure generative, agentic, and machine learning solutions complete required review and approval prior to production deployment.   Collaborates with data services teams to define and secure the data products, semantic models, and pipelines required to support generative and agentic AI solutions.   Partners with cloud and infrastructure engineering teams, who own on-premise and cloud hosting, to define the compute, hosting, security, and scaling requirements on which AI Platforms depends.   Partners with financial operations on cost transparency and unit economics for AI Platforms consumption, including token, inference, agent execution, and model cost management.   Translates complex, cross-functional business and integration needs into actionable development requirements, designs, and plans for engineering teams.   Directs the team utilizing KPIs and data to inform decision making.   Monitors and evaluates the performance of generative and agentic AI engineering activities and makes necessary adjustments.   Provides strategic and tactical direction to the team, communicating the organizational mission and values, and setting standards for performance excellence.   Mentors and develops engineering team members, fostering a culture of innovation, collaboration, accountability, and professional growth.   Establishes a collaborative team culture ensuring high engagement, recognition, and retention of team members. Ensures leadership practices promote continuous development and high performance.   Manages hiring, onboarding, and training for incoming staff, setting clear expectations and developing career paths to build a resilient, skilled team.   SUPERVISORY RESPONSIBILITIES   Directly supervises employees within the applied AI engineering and AI Platforms teams and carries out supervisory responsibilities in accordance with company policies and applicable laws. These respo