AI & Digital Innovation Delivery Lead, Digital Transformation & Innovation

BDO USA, P.C.•Grand Rapids, MI

17h

About The Position

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.

Requirements

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
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
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
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
High School Diploma/GED required
Bachelor’s degree in Information Systems, Computer Science, Engineering, Information Technology, preferred

Nice To Haves

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 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
Experience presenting AI solution and architectural recommendations to governance bodies (e.g., Architecture Review Boards)

Responsibilities

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
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
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)
Willingly accepts share of less desirable assignments
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