This position provides strategic and technical leadership for the enterprise AI platform engineering function, setting the technology strategy and reference architecture for how AI is built, deployed, and scaled enterprise-wide. The role is accountable for building and operating shared AI engineering capabilities that enable teams to develop, deploy, monitor, evaluate, and scale AI solutions safely and efficiently. As Director, you will lead teams responsible for AI platform architecture, reusable engineering frameworks, MLOps/LLMOps, AI operations, agentic workflow patterns, LLM pipeline frameworks, observability, evaluation controls, production support patterns, systems-of-record integration, cost optimization, and technical guardrails that support responsible and scalable AI adoption. This role works across Technology and business domains, including Information Security, Governance, Enterprise Architecture, Application Development, Digital Services, Infrastructure, Data Engineering, Product, Operations, Risk, Legal, Compliance, and strategic technology partners. You will also manageor coordinates key AI platform partners, including GCP, AWS, DataDog, ServiceNow, Salesforce and more where applicable.
Position Compensation Range:
$172,000.00 - $294,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Primary Accountabilities
Lead AI platform architecture and strategy
You will define the architecture, standards, and roadmap for shared enterprise AI platform capabilities. This is collaborative with Data & AI Architects.
You will also ensure the platform supports scalable, secure, reliable, and governed AI delivery across multiple business domains.
Balance AI operations, MLOps/LLMOps, and agentic frameworks
Lead engineering practices for model and AI-system deployment, monitoring, testing, evaluation, versioning, reliability, and lifecycle management.
Balance operational reliability with reusable agentic workflow patterns and LLM pipeline frameworks.
Ensure AI systems can be supported and improved after production deployment.
Contribute to the enterprise AI technology maturity view
You will contribute platform, engineering, operations, observability, support, resilience, cost, systems integration, and production-readiness inputs to the enterprise-level shared AI technology maturity view.
You will use this maturity view to identify capability gaps, guide investment recommendations, and communicate platform and engineering readiness.
Build reusable engineering frameworks and capabilities
Build and maintain reusable frameworks, components, and patterns that accelerate AI delivery and reduce duplicated engineering effort.
Ensure durable reusable capabilities are documented, discoverable, supportable, and governed so they can be leveraged across multiple domains.
Own platform production support and operational run patterns
You will directly own production support for the AI platform and shared AI engineering capabilities, especially L1, L2, and the engineering side of L3 support
Establish production run patterns for AI-enabled workflows, including support models, incident paths, escalation patterns, fallback mechanisms, and human handoff design.
Partner with customer service, employee support, application support, service management, or other operational channels where AI experiences require context-rich support transitions.
Establish observability, evaluation, and monitoring capabilities
Establish platform capabilities for telemetry, model and system monitoring, traceability, drift or quality signals, evaluation controls, regression checks, and operational visibility.
Provide visibility into AI system behavior, performance, usage, and risk signals.
Embed responsible AI technical guardrails
Embed responsible AI technical controls into platform capabilities in alignment with shared enterprise governance expectations.
Ensure platform capabilities support auditability, policy adherence, access controls, least-privilege operation, model/agent registration, and responsible AI practices.
Lead AI cost, capacity, and resilience practices
Provide engineering mechanisms for token strategy, usage monitoring, multi-model routing, fallback, caching, capacity planning, inference or compute optimization, and total-cost-of-ownership discipline.
Help the enterprise balance speed, performance, reliability, resilience, and cost.
Support build/buy/partner technical decisions
Lead build/buy/partner decisions for AI engineering capabilities, including when to use partner-native agents, managed AI platforms, or internally built orchestration based on data location, control needs, governance, speed, cost, portability, and strategic differentiation.
Manage and coordinate key AI Platform partners, including GCP, AWS, DataDog, ServiceNow, and others where applicable.
Lead people and develop engineering talent
Lead teams responsible for MLOps, LLMOps, AI operations, platform engineering, GIS or other assigned platform capabilities, and related AI engineering functions.
Build engineering discipline, technical depth, delivery accountability, and collaborative execution across teams, while recognizing the AI space is evolving quickly and required skills will continue to evolve.
Specialized Knowledge & Skills Requirements
Key Interfaces and Partners
Additional Information
In this primarily office-based role, you will be expected to spend at least 80% of your time (4+ days per week) working from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; or Boston, MA 02110.
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We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.
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