AI & Digital Innovation Delivery Lead, Digital Transformation & Innovation
Role details
Job location
Tech stack
Job description
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., AI Solution Development & Delivery
- Leads 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 services
- Architects AI agent workflows, prompt engineering strategies, RAG patterns, and multi-agent orchestration to deliver intelligent product experiences
- Develops enterprise-grade applications including microservices, APIs, serverless architectures, and BI solutions (Power BI) across the product portfolio
- Evaluates and integrates emerging AI models, agent frameworks, and LLM capabilities to continuously advance product intelligence and automation
- Establishes model governance practices including model selection criteria, prompt libraries, evaluation pipelines, and responsible AI standards
SDLC & DevOps Management
- Owns the SDLC development pipeline including CI/CD architecture, build automation, release management, and deployment processes across all DT&I products
- Conducts code reviews, establishes coding standards, and drives engineering best practices including automated testing and observability
- Manages technical debt, performance optimization, and reliability engineering across the product portfolio
- Collaborates with product management and business stakeholders to translate requirements into maintainable technical implementations
- Provides technical leadership and mentorship to engineering team members, fostering growth and elevating overall team capability
Risk Management
- Ensures compliance with software development and AI governance best practices, firm policies, and regulatory requirements
- Partners with risk and compliance stakeholders to maintain alignment between technology solutions and firm governance requirements
- Ensures all DT&I products remain compliant with applicable service level agreements (SLAs)
Performs other duties as assigned
- Willingly accepts share of less desirable assignments
Supervisory 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 assigned
Requirements
- High School Diploma/GED required
- Bachelor's degree in Information Systems, Computer Science, Engineering, Information Technology, preferred
Experience:
- Ten (10) or more years of experience in software development, AI/ML engineering, cloud infrastructure, required
- Five (5) or more years of experience as a lead developer writing production code, including AI/ML solution design and implementation, required
- Three (3) or more years of experience with AI orchestration frameworks (Semantic Kernel, LangChain, or equivalent) and Azure AI services, required
- Three (3) or more years managing CI/CD pipelines and SDLC processes in Azure DevOps environments, required
- 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, * 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, * 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
- Ability to travel up to 10%, no relocation required
Benefits & conditions
Individual 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 - $170,000 Maryland Range: $150,000 - $170,000 NYC/Long Island/Westchester Range: $150,000 - $170,000