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Director of AI Enablement at Builders Capital Exchange. Are you a hands-on AI engineering leader with the vision to design enterprise-grade GenAI solutions-and the executive presence to influence business strategy at the highest levels? Ready to move beyond experimentation and build scalable, production-ready AI systems that drive measurable value across an organization? If you’re energized by turning frontier AI capabilities into real-world impact, this is your opportunity to lead and scale..  . We are seeking a Director of AI Enablement to architect and deploy enterprise AI and GenAI solutions. Reporting directly to the Chief Technology Officer, you will partner with senior business executives, product leaders, and engineering teams to translate complex business requirements into scalable, secure, and high-performing AI applications.. This role operates at the intersection of architecture, engineering, and strategy..  . Builders Capital Exchange is one of the nation's largest private construction lender, offering cutting-edge financing solutions to developers and homebuilders. Our loan products include Acquisition, Development, Construction, and Bridge financing options-ranging from single-asset loans to portfolio loans and revolving credit facilities..  . What You’ll Do:. Architect Enterprise AI Solutions - Design and deploy LLM-based, agentic, and applied machine learning systems that integrate seamlessly with enterprise data platforms and production environments. Build scalable, production-ready AI solutions that deliver measurable business outcomes.. Translate Strategy into Engineered Products - Partner directly with TD&O divisional leaders, product teams, and operations executives to convert high-impact business use cases into technical blueprints and deployed AI capabilities.. Lead Hands-On Engineering Execution - Guide teams in model development, fine-tuning, evaluation, and deployment. Ensure performance, observability, scalability, and compliance across AI systems operating in production environments.. Operationalize GenAI at Scale - Develop reusable frameworks, APIs, orchestration layers, and components that accelerate AI adoption across multiple product lines and business workflows.. Champion Responsible & Secure AI - Establish engineering standards for model governance, telemetry, version control, and risk management in partnership with Enterprise Architecture and governance teams. Ensure AI systems are secure, ethical, and compliant.. Build and Inspire High-Performance Teams - Lead cross-functional squads to prototype, iterate, and operationalize AI agents and cognitive capabilities. Foster a builder culture grounded in experimentation, accountability, and delivery.. Stay Ahead of the Frontier – Continuously evaluate emerging AI tools, frameworks, and architectural patterns. Identify opportunities to responsibly integrate cutting-edge capabilities into enterprise platforms.. What We’re Looking For:. Proven AI Engineering Expertise - Demonstrated success designing, deploying, and maintaining AI or GenAI systems in production environments, including LLM-based solutions, agentic architectures, RAG pipelines, or advanced ML systems.. Engineering Leadership Experience - 10+ years leading product, platform, or applied AI engineering teams in high-scale environments (cloud, SaaS, fintech, or large enterprise systems).. Architectural Fluency - Deep expertise in modern AI infrastructure, including vector databases, orchestration frameworks, MLOps/DevOps integration, and enterprise-grade system design.. Business Translation Capability - Ability to engage directly with senior executives and convert strategic objectives into technical execution plans and working AI systems.. Executive Presence & Influence - Comfortable advising CIO-level leaders and product executives, articulating AI’s value in business terms, and building trust across technical and non-technical stakeholders.. Education – Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field (advanced degrees preferred) or equivalent experience.. Experience at a technology or product company leading AI platform or applied ML development at scale.. Hands-on experience with enterprise AI frameworks such as Azure OpenAI, AWS Bedrock, LangChain, AutoGen, CrewAI, or similar.. Demonstrated success establishing AI engineering standards, reusable frameworks, or AI Centers of Excellence.. Experience delivering GenAI applications supporting customer engagement, operations, or risk functions in complex organizations.. Industry leadership through publications, conference presentations, or open-source contributions.. Company Location: United States.