Job Description

Job 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