Hybrid Distinguished AI Architect

at American Family Insurance

• Job title: Distinguished AI Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $194,000 - $329,000 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Madison, United States

About the role

• AI Architect developing data and AI architecture solutions for American Family Insurance. Leading integration design and participating in M&A discussions to achieve business outcomes.

Responsibilities

• Drive data and AI architecture solutions, frameworks, roadmaps, program optimizations and process engineering in a high-velocity culture.
• Identify system gaps, analyze competitive strategies, architecture frameworks, metrics models, and performance indicators.
• Accountable for data and AI architecture that crosses technologies, channels, lines of business, and enterprise data functions with primary focus on business outcomes vs technology design.
• Participate in strategy discussions while leading integration design and execution activities.
• Drive strategic enterprise consolidations and integration efforts.
• Lead with architecture design that fosters innovation and competitive advantage across businesses.
• Act as principal advisor to leadership in architecture matters; participate in M&A strategy discussions as well as drive AI integration design and execution activities.
• Provide technical expertise and guidance regarding the research, engineering, and integration of new architecture principles and solutions to meet our organization's business strategy.
• Provide oversight for the identification, design and implementation of engineering and automation solutions to promote results.
• Create and maintain the data and AI architecture roadmap and strategy.
• Manage and influence relationships with partners to ensure cross functional coordination and ensure a partnership focused approach is taken to align product and system releases.

Requirements

• Demonstrated experience providing customer-driven solutions, support or service.
• Demonstrated experience leading data and AI engineering practices, and LLM based multi-agent systems designs and deployments.
• Solid understanding of end to end implementation of traditional Machine Learning and Generative AI technology stacks.
• Solid understanding of responsible AI guardrails implementation such as eval framework, observability, monitoring and controls.
• Demonstrated experience communicating and influencing at all levels of the organization from technical IT staff to business executives.
• Demonstrated experience negotiating complex or contentious issues, reaching consensus, and working through people to achieve goals.
• Extensive knowledge and understanding of business strategy development, business architecture, and business models as they relate to technology strategy development.

Benefits

• Comprehensive medical, dental, vision and wellbeing benefits
• Competitive 401(k) contribution
• Pension plan
• Annual incentive
• 9 paid holidays
• Paid time off program (23 days accrued annually for full-time employees)
• Student loan repayment program
• Paid-family leave