{"schemaVersion":"jobsearcher.job.v1","id":"edd2d1f60debbf1ff2d4e083","url":"https://jobsearcher.com/jobs/edd2d1f60debbf1ff2d4e083","canonicalUrl":"https://jobsearcher.com/jobs/edd2d1f60debbf1ff2d4e083","title":"Context Engineering Manager, Digital Transformation & Innovation","description":"Job Summary:\n\nThe Context Engineering Manager serves as the context and knowledge lead for all DT&I product and process development, with primary emphasis on the knowledge, skill, and instruction infrastructure that AI systems and engineers consume. This role owns the design, governance, and continuous improvement of reusable skill libraries, agent-instruction standards (CLAUDE.md and equivalents), retrieval-grounding corpora, and domain-knowledge encodings that make AI-accelerated delivery reliable, repeatable, and audit-ready across the DT&I product portfolio. The role works in close coordination with the AI Engineering Manager and the Data & Analytics Lead to ensure assurance domain knowledge is captured as high-quality, governed, agent-consumable context. The Context Engineering Manager partners closely with the AI & Digital Innovation Delivery Lead and cross-functional teams to align context-engineering practices, knowledge standards, and product delivery with assurance service delivery objectives, firm policies, and security standards.\n\nJob Duties:\n\nContext Architecture & Knowledge Engineering\n\nDesigns and maintains the firm’s context infrastructure including hierarchical skill libraries (foundation and archetype layers) and agent-instruction standards (CLAUDE.md and equivalents) with defined inheritance, ownership, and versioning\nServes as the principal technical authority on prompt and context patterns, reusable scaffolding, and context-as-code discipline across the DT&I portfolio\nDefines how assurance domain knowledge is captured, structured, and surfaced to AI systems, and codifies BDO methodology (AKB) into retrievable, governed knowledge\nEvaluates and integrates emerging context-engineering tools, frameworks, and knowledge platforms to continuously improve grounding quality and developer enablement\nDesigns context evaluation, provenance tracking, and citation discipline to ensure traceable, trustworthy grounded outputs\n\nRetrieval & Grounding Engineering\n\nOwns retrieval-corpus curation and grounding quality including source selection, chunking strategy, embeddings, and index design using Azure AI Search and vector stores\nDesigns and tunes retrieval pipelines (hybrid search, re-ranking, metadata filtering) for accuracy, cost, and latency across DT&I products\nEstablishes corpus lifecycle management including freshness, versioning, deduplication, and retirement of stale knowledge\nPartners with the AI Engineering Manager to integrate grounded context into agent and application runtimes\nImplements grounding evaluation, regression testing, and quality metrics for retrieval-augmented features\n\nContext Governance & Enablement\n\nGoverns the skill and context catalog as a managed asset with named ownership, review cadence, and change control consistent with the Advantage SDLC and Architecture Review Board\nProvides governed context scaffolding and standards for the Advantage Forge citizen-engineer program and product teams\nCoaches engineers on context-engineering practice and maintains documentation so AI-native development scales across the practice\nDefines standards for token economics, context-window management, and prompt efficiency across the portfolio\n\nRisk Management\n\nEnsures context infrastructure and grounded knowledge comply with firm security policies, privacy requirements, and regulatory standards (SOC 2, PCAOB AS 2201, QC 1000, ISO 27001)\nPrevents sensitive or restricted data from entering prompts, corpora, or model context, and maintains auditability and traceability of grounded knowledge\nPartners with risk and compliance stakeholders to maintain alignment between context infrastructure and firm governance requirements\n\nPerforms other duties as assigned\n\nWillingly accepts share of less desirable assignments\n\nSupervisory Responsibilities:\n\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\n\nQualifications, Knowledge, Skills, and Abilities:\n\nEducation:\n\nHigh School Diploma/GED, required\nBachelor’s degree with a focus in Computer Science, Information Systems, Engineering, Information Technology, preferred\n\nExperience:\n\nSeven (7) or more years of experience in software, data, or AI engineering, or related technology fields, required\nThree (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required\nTwo (2) or more years of experience defining reusable engineering assets, developer-enablement tooling, or technical standards, required\nExperience extracting and codifying domain knowledge into machine-consumable formats, preferred\nExperience delivering enterprise-scale AI or knowledge solutions in professional services, assurance, or accounting industries, preferred\nExperience with context governance, prompt management, or AI evaluation frameworks, preferred\n\nLicense/Certifications:\n\nMicrosoft Certified: Azure AI Engineer Associate, or equivalent, preferred\n\nTechnology:\n\nExpert-level knowledge of Microsoft Azure AI services including Azure AI Foundry, Azure OpenAI, and Azure AI Search, required\nStrong understanding of LLM context windows, prompting, retrieval, and grounding, and how each affects accuracy, cost, and reliability, required\nExperience with retrieval and vector technologies (Azure AI Search, embeddings, hybrid search, re-ranking), required\nExtensive knowledge of agent-instruction and skill systems (CLAUDE.md and equivalents) and Markdown-based knowledge structures, required\nExperience with agentic development tooling (Claude Code or equivalent) and Git-based workflows, preferred\nExperience with .NET/C# and/or Python for context and evaluation tooling, preferred\nExperience with AI evaluation and observability tooling, preferred\n\nKnowledge, Skills, & Abilities:\n\nExpert-level knowledge of context engineering, retrieval design, and grounding for production LLM systems\nProven ability to serve as a hands-on context architect while providing standards, governance, and team enablement\nDeep knowledge of information architecture and the ability to translate subject-matter expertise into machine-consumable knowledge\nFamiliarity with AI application and agent runtimes and the ability to collaborate with engineering teams on context dependencies\nExcellent problem-solving skills with a focus on accuracy, reliability, and grounding quality\nStrong communication skills with the ability to convey technical concepts to non-technical stakeholders and leadership\nExperience presenting context and AI governance recommendations to governance bodies (e.g., Architecture Review Boards)\nStrong knowledge of data privacy, security, and compliance considerations for AI and knowledge systems\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\n\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.\n\nNational Range: $125,000 - $155,000\nMaryland Range: $125,000 - $155,000\nNYC/Long Island/Westchester Range: $125,000 - $155,000\nAt BDO, how we show up matters. We build strong relationships by supporting one another, our clients, and our communities with care, curiosity, and a commitment to helping one another grow and succeed. Here, you’ll find meaningful work, leaders invested in your success, and opportunities to build a career around what matters most to you.\n\nOur purpose is to be the people our clients count on to grow with confidence and achieve what matters most. Our values guide how we bring that purpose to life each day. Together, they shape how we work with one another, serve our clients, and create meaningful impact.\n\nBDO provides assurance, tax, and advisory services to clients across the U.S. and around the world. No matter your role, you’ll be part of a team helping clients navigate complexity and move forward with clarity.\n\nWe are proud to be an ESOP company, offering participants a stake in the firm’s success through beneficial ownership and a unique opportunity to enhance their financial well-being. As a qualified retirement plan, the ESOP is a meaningful addition to our comprehensive compensation and Total Rewards benefits* offerings. It also reinforces an ownership mindset that strengthens our connection to one another, our clients, and the future we’re building together.\n\nLearn more about our benefits: BDO Total Rewards encompass more than traditional benefits. Click here to find out more !\n\n*Benefits may be subject to eligibility requirements.\n\nEqual Opportunity Employer, including disability/vets\nClick here to find out more !","company":"Bdo","rawCompany":"bdo","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-11T03:37:37.346Z","occupations":[{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Context Engineering Manager, Digital Transformation & Innovation","description":"Job Summary:\n\nThe Context Engineering Manager serves as the context and knowledge lead for all DT&I product and process development, with primary emphasis on the knowledge, skill, and instruction infrastructure that AI systems and engineers consume. This role owns the design, governance, and continuous improvement of reusable skill libraries, agent-instruction standards (CLAUDE.md and equivalents), retrieval-grounding corpora, and domain-knowledge encodings that make AI-accelerated delivery reliable, repeatable, and audit-ready across the DT&I product portfolio. The role works in close coordination with the AI Engineering Manager and the Data & Analytics Lead to ensure assurance domain knowledge is captured as high-quality, governed, agent-consumable context. The Context Engineering Manager partners closely with the AI & Digital Innovation Delivery Lead and cross-functional teams to align context-engineering practices, knowledge standards, and product delivery with assurance service delivery objectives, firm policies, and security standards.\n\nJob Duties:\n\nContext Architecture & Knowledge Engineering\n\nDesigns and maintains the firm’s context infrastructure including hierarchical skill libraries (foundation and archetype layers) and agent-instruction standards (CLAUDE.md and equivalents) with defined inheritance, ownership, and versioning\nServes as the principal technical authority on prompt and context patterns, reusable scaffolding, and context-as-code discipline across the DT&I portfolio\nDefines how assurance domain knowledge is captured, structured, and surfaced to AI systems, and codifies BDO methodology (AKB) into retrievable, governed knowledge\nEvaluates and integrates emerging context-engineering tools, frameworks, and knowledge platforms to continuously improve grounding quality and developer enablement\nDesigns context evaluation, provenance tracking, and citation discipline to ensure traceable, trustworthy grounded outputs\n\nRetrieval & Grounding Engineering\n\nOwns retrieval-corpus curation and grounding quality including source selection, chunking strategy, embeddings, and index design using Azure AI Search and vector stores\nDesigns and tunes retrieval pipelines (hybrid search, re-ranking, metadata filtering) for accuracy, cost, and latency across DT&I products\nEstablishes corpus lifecycle management including freshness, versioning, deduplication, and retirement of stale knowledge\nPartners with the AI Engineering Manager to integrate grounded context into agent and application runtimes\nImplements grounding evaluation, regression testing, and quality metrics for retrieval-augmented features\n\nContext Governance & Enablement\n\nGoverns the skill and context catalog as a managed asset with named ownership, review cadence, and change control consistent with the Advantage SDLC and Architecture Review Board\nProvides governed context scaffolding and standards for the Advantage Forge citizen-engineer program and product teams\nCoaches engineers on context-engineering practice and maintains documentation so AI-native development scales across the practice\nDefines standards for token economics, context-window management, and prompt efficiency across the portfolio\n\nRisk Management\n\nEnsures context infrastructure and grounded knowledge comply with firm security policies, privacy requirements, and regulatory standards (SOC 2, PCAOB AS 2201, QC 1000, ISO 27001)\nPrevents sensitive or restricted data from entering prompts, corpora, or model context, and maintains auditability and traceability of grounded knowledge\nPartners with risk and compliance stakeholders to maintain alignment between context infrastructure and firm governance requirements\n\nPerforms other duties as assigned\n\nWillingly accepts share of less desirable assignments\n\nSupervisory Responsibilities:\n\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\n\nQualifications, Knowledge, Skills, and Abilities:\n\nEducation:\n\nHigh School Diploma/GED, required\nBachelor’s degree with a focus in Computer Science, Information Systems, Engineering, Information Technology, preferred\n\nExperience:\n\nSeven (7) or more years of experience in software, data, or AI engineering, or related technology fields, required\nThree (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required\nTwo (2) or more years of experience defining reusable engineering assets, developer-enablement tooling, or technical standards, required\nExperience extracting and codifying domain knowledge into machine-consumable formats, preferred\nExperience delivering enterprise-scale AI or knowledge solutions in professional services, assurance, or accounting industries, preferred\nExperience with context governance, prompt management, or AI evaluation frameworks, preferred\n\nLicense/Certifications:\n\nMicrosoft Certified: Azure AI Engineer Associate, or equivalent, preferred\n\nTechnology:\n\nExpert-level knowledge of Microsoft Azure AI services including Azure AI Foundry, Azure OpenAI, and Azure AI Search, required\nStrong understanding of LLM context windows, prompting, retrieval, and grounding, and how each affects accuracy, cost, and reliability, required\nExperience with retrieval and vector technologies (Azure AI Search, embeddings, hybrid search, re-ranking), required\nExtensive knowledge of agent-instruction and skill systems (CLAUDE.md and equivalents) and Markdown-based knowledge structures, required\nExperience with agentic development tooling (Claude Code or equivalent) and Git-based workflows, preferred\nExperience with .NET/C# and/or Python for context and evaluation tooling, preferred\nExperience with AI evaluation and observability tooling, preferred\n\nKnowledge, Skills, & Abilities:\n\nExpert-level knowledge of context engineering, retrieval design, and grounding for production LLM systems\nProven ability to serve as a hands-on context architect while providing standards, governance, and team enablement\nDeep knowledge of information architecture and the ability to translate subject-matter expertise into machine-consumable knowledge\nFamiliarity with AI application and agent runtimes and the ability to collaborate with engineering teams on context dependencies\nExcellent problem-solving skills with a focus on accuracy, reliability, and grounding quality\nStrong communication skills with the ability to convey technical concepts to non-technical stakeholders and leadership\nExperience presenting context and AI governance recommendations to governance bodies (e.g., Architecture Review Boards)\nStrong knowledge of data privacy, security, and compliance considerations for AI and knowledge systems\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\n\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.\n\nNational Range: $125,000 - $155,000\nMaryland Range: $125,000 - $155,000\nNYC/Long Island/Westchester Range: $125,000 - $155,000\nAt BDO, how we show up matters. We build strong relationships by supporting one another, our clients, and our communities with care, curiosity, and a commitment to helping one another grow and succeed. Here, you’ll find meaningful work, leaders invested in your success, and opportunities to build a career around what matters most to you.\n\nOur purpose is to be the people our clients count on to grow with confidence and achieve what matters most. Our values guide how we bring that purpose to life each day. Together, they shape how we work with one another, serve our clients, and create meaningful impact.\n\nBDO provides assurance, tax, and advisory services to clients across the U.S. and around the world. No matter your role, you’ll be part of a team helping clients navigate complexity and move forward with clarity.\n\nWe are proud to be an ESOP company, offering participants a stake in the firm’s success through beneficial ownership and a unique opportunity to enhance their financial well-being. As a qualified retirement plan, the ESOP is a meaningful addition to our comprehensive compensation and Total Rewards benefits* offerings. It also reinforces an ownership mindset that strengthens our connection to one another, our clients, and the future we’re building together.\n\nLearn more about our benefits: BDO Total Rewards encompass more than traditional benefits. Click here to find out more !\n\n*Benefits may be subject to eligibility requirements.\n\nEqual Opportunity Employer, including disability/vets\nClick here to find out more !","datePosted":"2026-09-11T03:37:37.346Z","dateModified":"2026-09-11T03:37:37.346Z","hiringOrganization":{"@type":"Organization","name":"Bdo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"edd2d1f60debbf1ff2d4e083"},"url":"https://jobsearcher.com/jobs/edd2d1f60debbf1ff2d4e083"}}