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Senior Context Engineer, Digital Transformation & Innovation at BDO USA, Grand Rapids, MI

Senior Context Engineer, Digital Transformation & Innovation at BDO USA in Grand Rapids, MI. $95,000 to $125,000 a year. Apply with swipeandhired.

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