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Job Summary:
Unum is a leading employee benefits provider that is driving a digital transformation. The AVP, AI Enterprise Architecture role is responsible for defining and advancing the enterprise AI architecture strategy to ensure scalable and secure AI capabilities that deliver business value.
Responsibilities:
• Define and evolve the enterprise AI architecture strategy and standards
• Be the enterprise architecture representative in AI governance committees and directly contribute to governance frameworks and enterprise standards.
• Ensure enterprise AI capabilities are aligned to business outcomes and enterprise priorities
• Design scalable, modular, and secure agentic AI solutions
• Establish reference architectures, reusable patterns, and enterprise platforms to industrialize AI capabilities at scale (primarily cloud-based / hyperscaler capabilities)
• Align AI architecture with enterprise capabilities and technology roadmaps
• Evaluate emerging technologies and guide tool/platform selection to ensure cost-effective, future-ready solutions
• Continuously maintain and update the enterprise AI platform roadmaps as the technology and industry capabilities evolve
• Ensure consistent adoption of architecture standards across delivery teams
• Lead architecture governance, compliance, and quality (design-time and runtime performance)
• Influences senior leaders and drives alignment across stakeholders
• Partner with business, product, and technology leaders to translate strategy into execution
• Guide and mentor architects and technical leaders while being a champion of disciplined architecture practices across the organization
• Drive continuous improvement through learnings from implementation and solution delivery
• Define business outcomes, use cases, and success metrics; support AI business cases
• Partner with the enterprise data team to ensure availability, governance, and compliance of data required for AI solutions
• Lead evaluation and selection of foundation models (LLMs, etc.) based on business fit and cost
• Oversee model training, validation, and risk assessment (e.g., bias, hallucination)
• Define deployment approaches and support enterprise adoption and change management
• Establish monitoring frameworks for performance, drift, and continuous improvement
• Ensure alignment with responsible AI principles (fairness, transparency, accountability) and regulatory requirements
• Partner with risk, legal, and compliance teams to mitigate AI-specific risks (e.g., bias, model drift, data leakage)
• Establish clear roles, responsibilities, and oversight mechanisms for AI solutions
Qualifications:
Required:
• Bachelor’s degree required
• 15+ years of experience in enterprise architecture with significant experience designing and implementing enterprise AI/ML platforms and solutions
• Deep knowledge of AI/ML frameworks, cloud AI services (e.g., AWS), and modern data technologies
• Experience with foundation models, prompt engineering, RAG architectures, and agentic AI patterns
• Strong understanding of AI risks, governance frameworks, and regulatory considerations
• Familiarity with Agile/Lean delivery and modern engineering practices (e.g., CI/CD, MLOps)
• Demonstrable experience of delivering complex software systems as an engineer and architect
• Proven ability to communicate complex technical concepts to both technical and business audiences
• Strategic thinker with strong problem-solving and analytical skills
• Collaborative and influential leader across complex organizations
• Curious and forward-looking on emerging technologies
• Outcome-driven with focus on measurable business impact
Preferred:
• Advanced degree preferred
• Experience with standard enterprise architecture modeling practices (ArchiMate and Bizzdesign preferred)
Company:
Since our founding in 1848, Unum has been a leader in the employee benefits business through innovation, integrity and an unwavering commitment to our customers. Founded in 1848, the company is headquartered in Chattanooga, USA, with a team of 10001+ employees. The company is currently Late Stage.