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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 & 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 Qualifications, Knowledge, Skills, and Abilities: 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, 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 License/Certifications:
* N/A Software:
* 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
Language:
* N/A Other Knowledge, Skills, & Abilities:
* 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 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
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BDO USA, LLP
Apr 14, 2026