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Job Summary: The Managing Director, AI & Digital Innovation Delivery is responsible for leading AI solution delivery strategy, engineering governance, and execution across the DT&I portfolio. This role provides oversight of multiple delivery functions, establishes enterprise-level standards, and ensures alignment with firm strategy, governance, and operational priorities. The Director collaborates with senior leadership to support the delivery of AI-enabled solutions and digital transformation initiatives. Job Duties: AI Strategy & Architecture
* Develops and maintains AI solution delivery strategy aligned with firm priorities
* Establishes enterprise architecture standards for AI-enabled solutions
* Evaluates emerging technologies and determines applicability to the DT&I portfolio
* Supports development of reusable platforms and capabilities Portfolio Delivery Oversight
* Provides oversight of multiple delivery teams and workstreams
* Monitors delivery progress, risks, and outcomes
* Ensures alignment with timelines, budgets, and quality expectations
* Supports prioritization of initiatives and resource allocation SDLC Governance
* Defines standards for SDLC processes, DevOps practices, and engineering quality
* Ensures consistency in deployment, testing, and release management practices
* Identifies risks related to scalability, performance, and technical debt Risk Management
* Ensures alignment with firm governance, regulatory requirements, and security standards
* Supports implementation of AI governance and responsible AI practices
* Collaborates with risk and compliance stakeholders Stakeholder Engagement
* Communicates with senior stakeholders regarding delivery status and priorities
* Supports alignment between technology and business objectives
* Participates in governance and leadership forums Performs other duties as assigned Supervisory Responsibilities:
* Acts as a direct supervisor to team members and technical leads, as assigned
* Acts as a career advisor and mentor to team members as assigned Qualifications, Knowledge, Skills, and Abilities: Education:
* Bachelor's degree required, focus in Information Systems, Computer Science, Engineering, Information Technology, preferred Experience:
* Fifteen (15) or more years of experience in software development, AI/ML engineering, or cloud infrastructure, required
* Ten (10) or more years of experience as a lead developer writing production code, including AI/ML solution design and implementation, preferred
* Five (5) or more years of experience with AI orchestration frameworks (Semantic Kernel, LangChain, or equivalent) and Azure AI services, preferred
* Seven (7) or more years managing CI/CD pipelines and SDLC processes in Azure DevOps environments, preferred
* Experience establishing AI model governance frameworks including responsible AI policies and model lifecycle management, preferred
* Experience delivering enterprise-scale solutions in professional services, assurance, or accounting industries, preferred
* Experience with multi-agent systems, RAG architectures, and LLM function-calling patterns, preferred License/Certifications:
* N/A Software:
* Extensive knowledge of Microsoft Azure including AI services (Azure AI Foundry, Azure OpenAI, Semantic Kernel) and application services (Azure DevOps, Azure Functions, Logic Apps, SQL Server), required
* Strong understanding of SDLC methodologies, DevOps practices, and CI/CD pipeline management, required
* Experience with AI orchestration frameworks (Semantic Kernel, LangChain, AutoGen, Copilot Studio), required
* Extensive knowledge of prompt engineering, RAG patterns, vector databases, and embedding models, preferred
* Experience with BI tools (Power BI, DAX), CI/CD pipelines, and source control (Git), preferred
* Experience with containerization (Docker, Azure Container Apps) and monitoring tools (Azure Monitor, Application Insights), preferred Language:
* N/A Other Knowledge, Skills, & Abilities:
* Strong expertise in AI solution development, DevOps management, and designing scalable enterprise applications
* Ability to serve as a lead developer and AI architect while managing SDLC processes and providing team leadership
* Robust knowledge of AI agent patterns, Semantic Kernel architecture, prompt engineering, and model governance
* Familiarity with data architecture and ability to collaborate with data engineering and infrastructure teams
* Excellent problem-solving skills with a focus on AI safety, code quality, and operational reliability
* Strong communication skills with the ability to convey technical concepts to non-technical stakeholders and leadership
* Experience presenting AI solution and architectural recommendations to governance bodies (e.g., Architecture Review Boards)
* Strong knowledge of security best practices, responsible AI standards, and compliance considerations in enterprise environments
* Ability to work across technical teams and business stakeholders in complex, fast-paced enterprise environments
* Self-directed with the ability to manage multiple priorities and competing deadlines
* Collaborative mindset with the ability to build relationships across all levels of the organization
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BDO USA, LLP
May 21, 2026