AVP, AI Enterprise Architecture

Unum UK

. Define and evolve the enterprise AI architecture strategy and standards .

Posted 10/8/2026full-timeUnited StatesLead💰 $133,500 - $274,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and evolving enterprise AI architecture strategies, ensuring alignment with business outcomes and compliance with governance frameworks. Proven ability to lead architecture governance, mentor technical leaders, and drive the adoption of AI solutions across organizations.

Highest-signal resume keywords

Enterprise AI Architecture StrategyAI/ML Platform Design and ImplementationAI Governance FrameworksCloud AI Services (AWS)Agile/Lean Delivery Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML FrameworksFoundation ModelsPrompt EngineeringRAG ArchitecturesModel Training and ValidationCI/CDMLOpsEnterprise Architecture ModelingData GovernanceRisk Assessment

Soft Skills

Strategic ThinkingProblem-SolvingCollaborative LeadershipInfluential CommunicationCuriosity

Certifications & Qualifications

Bachelor’s DegreeAdvanced Degree Preferred

Industry Keywords

AI RisksGovernance FrameworksRegulatory ConsiderationsEnterprise StandardsChange Management

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Define and evolve the enterprise AI architecture strategy and standards
Represent enterprise architecture in AI governance committees and contribute to governance frameworks and enterprise standards
Align enterprise AI capabilities with business outcomes and priorities
Design scalable, modular, and secure agentic AI solutions
Establish reference architectures, reusable patterns, and enterprise platforms to industrialize AI capabilities at scale
Align AI architecture with enterprise capabilities and technology roadmaps
Evaluate emerging technologies and guide tool and platform selection
Maintain and update enterprise AI platform roadmaps
Ensure adoption of architecture standards across delivery teams
Lead architecture governance, compliance, and quality
Influence senior leaders and drive stakeholder alignment
Partner with business, product, and technology leaders to translate strategy into execution
Guide and mentor architects and technical leaders
Define business outcomes, use cases, and success metrics; support AI business cases
Partner with the enterprise data team on data availability, governance, and compliance
Lead evaluation and selection of foundation models based on business fit and cost
Oversee model training, validation, and risk assessment
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 and regulatory requirements
Partner with risk, legal, and compliance teams to mitigate AI-specific risks
Establish 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
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 delivering complex software systems as an engineer and architect
Proven ability to communicate complex technical concepts to technical and business audiences
Experience with standard enterprise architecture modeling practices
Strategic thinking, problem-solving, and analytical skills
Collaborative and influential leadership across complex organizations
Curiosity and forward-looking perspective on emerging technologies
Outcome-driven focus on measurable business impact

Benefits

Comp & perks

Onsite fitness facilities
Generous paid time off
Employee professional development programs
Healthcare benefits: health, vision, and dental
Short- and long-term disability insurance benefits
Performance-based incentive plans
401(k) retirement plan with employer match up to 5%
Additional 4.5% 401(k) contribution whether or not the employee contributes