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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Digital Innovation Delivery Lead, Digital Transformation & Innovation - **Company:** BDO View all jobs - **Location:** Grand Rapids, MI, United States - **Experience:** Expert - **Salary:** $150,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Application Services, Build Automation, Automation of Tests, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Information Systems, Continuous Integration, Data Architecture, Information Engineering, DevOps, Monitoring of Systems, Machine Learning, Microsoft SQL Server, Performance Tuning, Systems Development Life Cycle, Release Management, Reliability Engineering, Power BI, Azure Machine Learning, Software Safety, Software Engineering, Enterprise Software Applications, Microsoft Power Automate, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Technical Debt, Git, Containerization, AI Platforms, Information Technology, Production Code, Data Analytics, Virtual Agents, Software Version Control, Serverless Computing, Docker, Microservices - **Published:** June 6, 2026 - **Apply:** https://www.careerjet.com/jobad/us7930ce5e20c463a1fb1e366bd841756a ## About the Role * 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 ## 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 ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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