AVP, AI Enterprise Architecture

Unum UK

Lead AI architecture strategy and execution for enterprise AI capabilities at a Fortune 500 employee benefits provider. Define standards, governance, and deliver innovative AI solutions.

Posted 5/31/2026full-timeAtlanta • Maine, Tennessee • 🇺🇸 United StatesLead💰 $133,500 - $274,100 per yearWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor's degree required; advanced degree preferred
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
Experience with standard enterprise architecture modeling practices (ArchiMate and Bizzdesign preferred)
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

Benefits

Comp & perks

healthcare benefits (health, vision, dental)
insurance benefits (short & long-term disability)
performance-based incentive plans
paid time off
401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

enterprise architectureAI architectureAI/ML platformsfoundation modelsprompt engineeringRAG architecturesAgileCI/CDMLOpsdata governance

Soft Skills

strategic thinkingproblem-solvinganalytical skillscollaborationinfluencecommunicationmentorshipcontinuous improvementleadershipadaptability

Certifications

Bachelor's degreeadvanced degree (preferred)