{"id":3692303,"url":"https://alion.io/job/bdo-usa-ai-engineering-experienced-manager-digital-transformation-innovation","title":"AI Engineering Experienced Manager, Digital Transformation & Innovation","company":{"id":720,"name":"BDO USA","domain":"bdo.com","url":"https://alion.io/company/bdo-usa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":148,"ghost_share":0.007,"stale_share":0.892,"repost_share":0.014,"time_to_fill_p50_days":3,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Grand Rapids, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"ISO 27001","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SOC 2","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Azure DevOps","optional":true},{"name":"C#","optional":true},{"name":"Claude Code","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Git","optional":true},{"name":"LangChain","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-02T19:06:44Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T19:22:36Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary:\nThe AI Engineering Experienced Manager serves as the senior development lead for the AI capabilities embedded across the DT&I product portfolio, with primary emphasis on the architecture, development, production operation, and continuous improvement of agent architectures, orchestration, and LLM-powered application features. This role owns the hands-on engineering of intelligent capabilities-from model selection and prompt and tooling design through evaluation, deployment, and observability-ensuring AI features are accurate, reliable, secure, and cost-effective within BDO’s Azure ecosystem. The AI Engineering Experienced Manager works within and ensures that all AI capabilities are designed, deployed, and operated in alignment with BDO’s AI Governance Policies and responsible-AI standards. The role works in close coordination with the Context Engineering Experienced Manager and Data & Analytics Lead to deliver well-integrated, properly provisioned AI solutions. The AI Engineering Experienced Manager partners closely with cross-functional teams to align AI engineering practices and product delivery with BDO’s AI Governance Policies, responsible AI standards, assurance service delivery objectives, firm policies, and security standards.\nJob Duties:\nAgent & Orchestration Engineering\nDesigns and builds agent architectures and multi-agent orchestrations using Semantic Kernel and Azure AI Foundry across the DT&I portfolio\nServes as the principal technical authority on agent design, planners, tool and function calling, memory, and workflow patterns\nArchitects and implements production-grade AI features, turning prototypes into reliable capabilities within the product stack\nEvaluates and integrates emerging models, frameworks, and orchestration tools to continuously improve capability and efficiency\nDesigns agent observability, error handling, retry, and fallback strategies to ensure resilient, fault-tolerant AI workflows\nSets engineering quality standards for AI application design, testing, deployment, monitoring, and operational support.\nLLM Application Engineering\nImplements retrieval-augmented generation (RAG) pipelines, structured outputs, function calling, and application-layer prompt strategies\nIntegrates AI capabilities into the .NET 10 / React product stack across the Advantage portfolio (PEM, RevRec, GCM 2.0, Centralized Billing, and others)\nPartners with the Context Engineering Experienced Manager to integrate governed knowledge, context and grounding within agent and application runtimes\nBuilds reusable AI service components, SDKs, and patterns for use across DT&I product teams\nEstablishes development practices that promote maintainability, extensibility, testability, and operational readiness\nGuides engineering teams through technical challenges, design decisions, production incident, and remediation activities\nEnsures AI capabilities meet defined product, assurance service delivery, performance, usability, and reliability objectives\nModel Strategy, Evaluation & Responsible AI\nEstablishes model selection, routing, fallback, and cost and latency optimization across AI features\nDesigns evaluation harnesses, regression tests, and guardrails to measure and defend accuracy, cost, and latency targets\nImplements responsible-AI controls including safety, bias mitigation, accuracy, and human-in-the-loop appropriate to a regulated assurance context\nWorks within and maintains alignment with BDO’s AI Governance Policies-including approved-model, acceptable-use, data-handling, and responsible-AI requirements-across all AI features\nOwns LLMOps including deployment, monitoring, observability, and drift detection for AI systems within the Advantage SDLC and CI/CD pipeline\nRisk Management\nEnsures AI systems comply with BDO’s AI Governance Policies, firm security policies, regulatory requirements, and responsible-AI standards (SOC 2, PCAOB AS 2201, QC 1000, ISO 27001)\nCoordinates AI governance reviews and approvals and maintains the documentation and evidence required to demonstrate alignment with BDO’s AI Governance Policies\nManages data handling, auditability, and the controls required for AI-assisted assurance work\nPartners with risk and compliance stakeholders to maintain alignment between AI systems and firm governance requirements\nPerforms other duties as assigned\nWillingly accepts share of less desirable assignments\nSupervisory Responsibilities:\nActs as a direct supervisor to engineering and development team members, as assigned\nActs as a career advisor and mentor to engineering and development team members as assigned\nQualifications, Knowledge, Skills, and Abilities:\nEducation:\nHigh School Diploma/GED, required\nBachelor’s degree with a focus in Computer Science, Information Systems, Engineering, Information Technology, preferred\nExperience:\nEight (8) or more years of experience in software engineering or related technology fields, required\nFour (4) or more years of hands-on experience building and deploying production AI/ML or LLM applications, required\nFour (4) or more years of experience with AI orchestration frameworks (Semantic Kernel, LangChain, or equivalent) and Azure AI services, required\nDemonstrated delivery of agent, RAG, or function-calling features to production, required\nExperience delivering enterprise-scale AI solutions in professional services, assurance, or accounting industries, preferred\nExperience establishing AI evaluation, responsible-AI, or model governance frameworks, preferred\nExperience leading technical teams or directing complex engineering initiatives, preferred\nExperience delivering enterprise AI solutions within professional services, assurance, accounting, financial services, or another regulated industry, preferred\nLicense/Certifications:\nMicrosoft Certified: Azure AI Engineer Associate, or equivalent, preferred\nTechnology:\nExpert-level knowledge of Microsoft Azure AI services including Azure AI Foundry, Azure OpenAI, and Azure AI Search, required\nStrong understanding of the AI application lifecycle including prompt design, evaluation, deployment, monitoring, and observability, required\nExperience with AI orchestration and agent frameworks (Semantic Kernel, LangChain, Durable Functions), required\nStrong development experience with .NET 10 / C# and React, required\nExperience with RAG, structured outputs, function calling, and vector technologies (Azure AI Search, embeddings), required\nExperience with CI/CD pipelines (Azure DevOps), source control (Git), and containerization (Docker, Azure Container Apps), preferred\nExperience with AI evaluation and observability tooling and agentic development tooling (Claude Code or equivalent), preferred\nKnowledge, Skills, & Abilities:\nExpert-level knowledge of applied LLM and agent engineering for production systems\nProven ability to serve as a hands-on AI engineer while providing team leadership and engineering governance\nDeep knowledge of agent architectures, orchestration, RAG, and responsible-AI practices\nWorking knowledge of AI governance frameworks and the ability to design, build, and operate AI systems in alignment with BDO’s AI Governance Policies\nFamiliarity with data architecture and the ability to collaborate with context, infrastructure, and data engineering teams on dependencies\nExcellent problem-solving skills with a focus on accuracy, reliability, cost optimization, and operational efficiency\nStrong communication skills with the ability to convey technical concepts to non-technical stakeholders and leadership\nExperience presenting AI architecture and governance recommendations to governance bodies (e.g., Architecture Review Boards)\nStrong knowledge of AI security, data privacy, and compliance considerations in regulated environments\nAbility to work across technical teams and business stakeholders in complex, fast-paced enterprise environments\nSelf-directed with the ability to manage multiple priorities and competing deadlines\nCollaborative mindset with the ability to build relationships across all levels of the organization\nAbility to travel up to 10%, no relocation required\nIndividual 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.\nNational Range: $150,000 - $180,000\nMaryland Range: $150,000 - $180,000\nNYC/Long Island/Westchester Range: $150,000 - $180,000","description_format":"text","description_chars":8450,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"high_school","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial 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