Job DescriptionJob Summary:The Experienced Senior Context Engineer is a senior individual contributor responsible for designing and building the reusable context assets that power BDO Advantage's AI-native product and process development. This role owns complex context and knowledge work-skill libraries, agent-instruction standards (CLAUDE.md and equivalents), prompt and context patterns, and retrieval-grounding corpora-and establishes conventions and quality standards that other engineers follow. The Experienced Senior Context Engineer works with a high degree of autonomy, provides technical guidance and mentorship to junior and mid-level engineers, and partners closely with the AI Engineering Manager and product teams to ensure assurance domain knowledge is captured as high-quality, governed, agent-consumable context. The role reports to the Context Engineering Manager and operates within the Advantage SDLC, firm policies, and security standards.
Job Duties:Context & Knowledge Engineering- Designs and builds complex, reusable context assets-skill libraries, agent-instruction files (CLAUDE.md and equivalents), and prompt and context patterns-for use across DT&I products
- Serves as a senior technical resource on context-as-code practice, establishing conventions, inheritance, and versioning standards for the team
- Codifies BDO assurance domain knowledge (AKB) into structured, retrievable, governed knowledge with appropriate provenance and citation discipline
- Reviews context and skill contributions from other engineers for quality, security, and reuse
- Evaluates and pilots emerging context-engineering tools and frameworks to improve grounding quality and developer productivity
Retrieval & Grounding Engineering- Designs and tunes retrieval pipelines (chunking strategy, embeddings, hybrid search, re-ranking, metadata filtering) for accuracy, cost, and latency using Azure AI Search and vector stores
- Owns retrieval-corpus curation and lifecycle management including source selection, freshness, versioning, and retirement of stale knowledge
- Builds grounding evaluation, regression testing, and quality metrics for retrieval-augmented features
Context Quality, Evaluation & Enablement- Defines and runs evaluation for context quality and grounding fidelity across products
- Contributes context scaffolding and standards for the Advantage Forge citizen-engineer program and product teams
- Mentors junior and mid-level engineers on context-engineering practice and maintains team documentation
Risk Management- Ensures context assets and grounded knowledge comply with firm security, privacy, and regulatory standards (SOC 2, PCAOB AS 2201, QC 1000, ISO 27001)
- Prevents sensitive or restricted data from entering prompts, corpora, or model context, and maintains traceability of grounded knowledge
Performs other duties as assigned- Willingly accepts share of less desirable assignments
Supervisory Responsibilities:- Provides technical leadership and mentorship to engineering and development team members, as assigned
- Reviews and provides feedback on the work of other engineers, as assigned
Qualifications, Knowledge, Skills, and Abilities:Education:- High School Diploma/GED, required
- Bachelor's degree with a focus in Computer Science, Information Systems, Engineering, Information Technology, preferred
Experience:- Five (5) or more years of experience in software, data, or AI engineering, or related technology fields, required
- Three (3) or more years of experience building LLM context, retrieval-augmented generation (RAG), or knowledge-management systems, required
- Experience defining reusable engineering assets, patterns, or technical standards, required
- Experience mentoring or providing technical guidance to other engineers, preferred
- Experience delivering AI or knowledge solutions in professional services, assurance, or accounting industries, preferred
License/Certifications:- Microsoft Certified: Azure AI Engineer Associate, or equivalent, preferred
Technology:- Strong knowledge of Microsoft Azure AI services including Azure AI Foundry, Azure OpenAI, and Azure AI Search, required
- Strong understanding of LLM context windows, prompting, retrieval, and grounding, and how each affects accuracy, cost, and reliability, required
- Experience with retrieval and vector technologies (embeddings, hybrid search, re-ranking, indexing), required
- Experience with agent-instruction and skill systems (CLAUDE.md and equivalents) and Markdown-based knowledge structures, required
- Experience with agentic development tooling (Claude Code or equivalent), Git-based workflows, and .NET/C# and/or Python, preferred
Knowledge, Skills, & Abilities:- Deep knowledge of context engineering, retrieval design, and grounding for production LLM systems
- Ability to work independently on complex, ambiguous problems and provide technical guidance to others
- Ability to translate subject-matter expertise into machine-consumable knowledge
- Excellent problem-solving skills with a focus on accuracy, reliability, and grounding quality
- Strong communication skills with the ability to convey technical concepts to technical and non-technical audiences
- Self-directed with the ability to manage multiple priorities and competing deadlines
- Collaborative mindset with the ability to build relationships across teams
- 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: $110,000 - $140,000
Maryland Range: $110,000 - $140,000
NYC/Long Island/Westchester Range: $110,000 - $140,000
