Senior Context Engineer, Digital Transformation & Innovation

Job Summary

The Senior Context Engineer is a hands-on software engineer who builds and maintains the reusable context assets that power BDO Advantage’s AI-native product and process development. This role writes, tests, reviews, and ships production code in C#/.NET and Python on the Advantage Azure platform and develops skill files, agent-instruction files (CLAUDE.md and equivalents), prompt and context patterns, and retrieval-grounding corpora following team standards. The Senior Context Engineer encodes assurance domain knowledge into structured, retrievable, governed formats and integrates it into working applications. The role 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

Application & Platform Engineering

• Writes, tests, and ships production code in C#/.NET and/or Python that integrates governed context, retrieval, and agent capabilities into Advantage applications
• Builds and maintains the services, APIs, and tooling that load, validate, version, and serve context assets to agents and applications running on Azure Container Apps and Azure AI Foundry
• Works in Git-based workflows with pull requests, automated tests, and CI/CD pipelines (Azure DevOps or GitHub), using agentic development tooling (Claude Code or equivalent) as part of daily delivery
• Participates in code and context reviews and incorporates feedback

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 assurance domain knowledge into structured, retrievable formats with appropriate metadata and provenance
• Applies established context-as-code conventions, inheritance and versioning practices

Retrieval & Grounding Engineering

• Implements and maintains retrieval pipelines including document parsing, chunking, embeddings, indexing, hybrid search, and metadata filtering using Azure AI Search and vector stores
• Curates retrieval corpora and manages freshness, versioning, and quality
• Writes grounding tests and retrieval evaluation tests and measures accuracy, latency, and cost

Context Quality & Collaboration

• Runs context and grounding evaluations and improves 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 application code and context assets
• Ensures sensitive or restricted data does not enter 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 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 hands-on professional software development experience building, testing, and deploying production applications or services in C#/.NET or Python, required
• One (1) or more years of experience building LLM-powered features – retrieval-augmented generation (RAG), agent tooling, or prompt and context systems – that reached production users, required
• Experience deploying and operating services on Microsoft Azure, 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

• Proficiency in C#/.NET or Python, including writing automated tests, required
• Working knowledge of Git-based workflows, pull-request review, and CI/CD pipelines (Azure DevOps or GitHub Actions), required
• Working knowledge of Microsoft Azure AI services including Azure OpenAI and Azure AI Search, required
• Understanding of LLM prompting, context windows, retrieval, and grounding concepts, required
• Experience with retrieval and vector technologies (embeddings, indexing, hybrid search), preferred
• Familiarity with agent-instruction and skill systems (CLAUDE.md and equivalents), agentic development tooling (Claude Code or equivalent), and Markdown-based knowledge structures, preferred
• Familiarity with Azure Container Apps, Semantic Kernel, and Dapr, preferred

Knowledge, Skills, & Abilities

• Ability to design, build, debug, and ship working software with minimal supervision and to explain technical decisions clearly in a live, hands-on setting
• 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