AI & Digital Innovation Delivery Lead, Digital Transformation & Innovation

Job Summary:The AI & Digital Innovation Delivery Lead serves as the development lead for all DT&I product and process development, with primary emphasis on the advancement and implementation of AI solutions within the product stack. This role owns the hands-on design, development, and delivery of enterprise applications-including AI agent architectures, Semantic Kernel orchestrations, and intelligent automation capabilities-while overseeing the SDLC development pipeline and DevOps management across the portfolio. The role works in close coordination with the Automation & Infrastructure Lead and the Data & Analytics Lead to ensure seamless delivery of scalable, secure, AI-powered solutions. The AI & Digital Innovation Delivery Lead partners closely with the Director of Assurance Architecture & Digital Innovation and cross-functional teams to align development practices and product delivery with assurance service delivery objectives, firm policies, and security standards.Job Duties:AI Solution Development & DeliveryLeads the hands-on design and development of AI-powered solutions across the DT&I product portfolio, leveraging Microsoft Semantic Kernel, Azure AI Foundry, Azure OpenAI Service, and related platform servicesArchitects AI agent workflows, prompt engineering strategies, RAG patterns, and multi-agent orchestration to deliver intelligent product experiencesDevelops enterprise-grade applications including microservices, APIs, serverless architectures, and BI solutions (Power BI) across the product portfolioEvaluates and integrates emerging AI models, agent frameworks, and LLM capabilities to continuously advance product intelligence and automationEstablishes model governance practices including model selection criteria, prompt libraries, evaluation pipelines, and responsible AI standardsSDLC & DevOps ManagementOwns the SDLC development pipeline including CI/CD architecture, build automation, release management, and deployment processes across all DT&I productsConducts code reviews, establishes coding standards, and drives engineering best practices including automated testing and observabilityManages technical debt, performance optimization, and reliability engineering across the product portfolioCollaborates with product management and business stakeholders to translate requirements into maintainable technical implementationsProvides technical leadership and mentorship to engineering team members, fostering growth and elevating overall team capabilityRisk ManagementEnsures compliance with software development and AI governance best practices, firm policies, and regulatory requirementsPartners with risk and compliance stakeholders to maintain alignment between technology solutions and firm governance requirementsEnsures all DT&I products remain compliant with applicable service level agreements (SLAs)Performs other duties as assigned* Willingly accepts share of less desirable assignmentsSupervisory Responsibilities:* Acts as a direct supervisor to engineering and development team members, as assigned* Acts as a career advisor and mentor to engineering and development team members as assignedQualifications, Knowledge, Skills, and Abilities:Education:* High School Diploma/GED required* Bachelor's degree in Information Systems, Computer Science, Engineering, Information Technology, preferredExperience:Ten (10) or more years of experience in software development, AI/ML engineering, cloud infrastructure, requiredFive (5) or more years of experience as a lead developer writing production code, including AI/ML solution design and implementation, requiredThree (3) or more years of experience with AI orchestration frameworks (Semantic Kernel, LangChain, or equivalent) and Azure AI services, requiredThree (3) or more years managing CI/CD pipelines and SDLC processes in Azure DevOps environments, requiredExperience establishing AI model governance frameworks including responsible AI policies and model lifecycle management, preferredExperience delivering enterprise-scale solutions in professional services, assurance, or accounting industries, preferredExperience with multi-agent systems, RAG architectures, and LLM function-calling patterns, preferredLicense/Certifications:* N/ASoftware: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), requiredStrong understanding of SDLC methodologies, DevOps practices, and CI/CD pipeline management, requiredExperience with AI orchestration frameworks (Semantic Kernel, LangChain, AutoGen, Copilot Studio), requiredExtensive knowledge of prompt engineering, RAG patterns, vector databases, and embedding models, preferredExperience with BI tools (Power BI, DAX), CI/CD pipelines, and source control (Git), preferredExperience with containerization (Docker, Azure Container Apps) and monitoring tools (Azure Monitor, Application Insights), preferredLanguage:* N/AOther Knowledge, Skills, & Abilities:Strong expertise in AI solution development, DevOps management, and designing scalable enterprise applicationsAbility to serve as a lead developer and AI architect while managing SDLC processes and providing team leadershipRobust knowledge of AI agent patterns, Semantic Kernel architecture, prompt engineering, and model governanceFamiliarity with data architecture and ability to collaborate with data engineering and infrastructure teamsExcellent problem-solving skills with a focus on AI safety, code quality, and operational reliabilityStrong communication skills with the ability to convey technical concepts to non-technical stakeholders and leadershipExperience 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 environmentsAbility to work across technical teams and business stakeholders in complex, fast-paced enterprise environmentsSelf-directed with the ability to manage multiple priorities and competing deadlinesCollaborative mindset with the ability to build relationships across all levels of the organizationAbility to travel up to 10%, no relocation requiredIndividual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate's qualifications, experience, skills, and geography.National Range: $150,000 - $170,000Maryland Range: $150,000 - $170,000NYC/Long Island/Westchester Range: $150,000 - $170,000