Job Summary:
The Senior Context Engineer is an individual contributor responsible for building and maintaining the reusable context assets that power BDO Advantage's AI-native product and process development. This role develops skill files, agent-instruction files (CLAUDE.md and equivalents), prompt and context patterns, and retrieval-grounding corpora following team standards, and encodes assurance domain knowledge into structured, retrievable, governed formats. The Senior Context Engineer works independently on well-scoped problems with general direction, collaborates with AI engineers and product teams, and contributes to the quality and reuse of the firm's context infrastructure. The role reports to the Context Engineering Manager and operates within the Advantage SDLC, firm policies, and security standards.
Job Duties:
Context & Knowledge Engineering
Builds and maintains reusable context assets-skill files, agent-instruction files (CLAUDE.md and equivalents), and prompt and context patterns-following team standards
Encodes BDO domain knowledge into structured, retrievable formats with appropriate metadata and provenance
Contributes to context-as-code conventions and applies established inheritance and versioning practices
Participates in code and context reviews and incorporates feedback
Retrieval & Grounding Engineering
Implements and maintains retrieval pipelines including chunking, embeddings, indexing, and metadata filtering using Azure AI Search and vector stores
Curates retrieval corpora and helps manage freshness, versioning, and quality
Writes grounding tests and helps measure retrieval accuracy and quality
Context Quality & Collaboration
Runs context and grounding evaluations and helps improve quality across features
Collaborates with AI engineers and product teams to integrate governed context into applications
Contributes to team documentation and supports citizen-engineer enablement
Risk Management
Follows firm security, privacy, and compliance standards (SOC 2, PCAOB AS 2201, QC 1000, ISO 27001) when building context assets
Ensures sensitive or restricted data does not enter prompts or corpora and maintains traceability of grounded knowledge
Performs other duties as assigned
Willingly accepts share of less desirable assignments
Supervisory Responsibilities:
Provides informal guidance to junior 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:
Three (3) or more years of experience in software, data, or AI engineering, or related technology fields, required
One (1) or more years of experience building LLM context, retrieval (RAG), or knowledge-management systems, or equivalent project experience, required
Experience building reusable components or working within established engineering standards, preferred
Experience in professional services, assurance, or accounting industries, preferred
License/Certifications:
Microsoft Certified: Azure AI Fundamentals or Azure AI Engineer Associate, or equivalent, preferred
Technology:
Working knowledge of Microsoft Azure AI services including Azure OpenAI and Azure AI Search, required
Understanding of LLM prompting, retrieval, and grounding concepts, required
Experience with retrieval and vector technologies (embeddings, indexing, search), preferred
Familiarity with agent-instruction and skill systems (CLAUDE.md and equivalents) and Markdown-based knowledge structures, preferred
Experience with Git-based workflows and .NET/C# and/or Python, preferred
Knowledge, Skills, & Abilities:
Solid knowledge of context engineering, retrieval, and grounding fundamentals
Ability to work independently on well-scoped problems with general direction
Strong problem-solving skills with attention to accuracy and quality
Good communication skills and willingness to collaborate and give and receive feedback
Ability to manage multiple tasks and meet 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: $95,000 - $125,000
Maryland Range: $95,000 - $125,000
NYC/Long Island/Westchester Range: $95,000 - $125,000
All qualified applicants will receive consideration for employment without regard to race, age, color, religion, sex, national origin, disability, protected veteran status, or any other classification protected by law.
