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AI & Digital Innovation Delivery Lead, Digital Transformation & Innovation

Job in Grand Rapids, Kent County, Michigan, 49528, USA
Listing for: BDO USA
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Summary

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.

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 Dev Ops management across the portfolio.

Works in close coordination with the Automation & Infrastructure Lead and the Data & Analytics Lead to ensure seamless delivery of scalable, secure, AI‑powered solutions.

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 & Dev Ops 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
Education
  • 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, Lang Chain, or equivalent) and Azure AI services, required
  • Three (3) or more years managing CI/CD pipelines and SDLC processes in Azure Dev Ops 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
License/Certifications
  • N/A
Software
  • Extensive knowledge of Microsoft Azure including…
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