Context Engineering Experienced Manager, Digital Transformation & Innovation

Job-:
Information Technology

Location:

Woodbridge, NJ, United States;
Grand Rapids, MI, United States

Schedule:

Full time Posted:
Closes:

Job Summary:

The Context Engineering Experienced Manager serves as the senior context and knowledge lead for all DT&I product and process development, with primary emphasis on the knowledge, skill, and instruction infrastructure that AI systems and engineers consume. This role leads the design, governance, and continuous improvement of reusable skill libraries, agent-instruction standards (CLAUDE.md and equivalents), retrieval-grounding corpora, and domain-knowledge encodings that make AI-accelerated delivery reliable, repeatable, and audit-ready across the DT&I product portfolio.

The role works in close coordination with the AI Engineering Experienced Manager and the Data & Analytics Lead to ensure assurance domain knowledge is captured as high-quality, governed, agent-consumable context. The Context Engineering Experienced Manager partners closely with cross-functional teams to align context-engineering practices, knowledge standards, and product delivery with assurance service delivery objectives, firm policies, and security standards.

Job Duties:

Context Architecture & Knowledge Engineering Designs and maintains the firm’s context infrastructure including hierarchical skill libraries (foundation and archetype layers) and agent-instruction standards (CLAUDE.md and equivalents) with defined inheritance, ownership, and versioning

Serves as the principal technical authority on prompt and context patterns, reusable scaffolding, and context-as-code discipline across the DT&I portfolio

Defines how assurance domain knowledge is captured, structured, and surfaced to AI systems, and codifies BDO methodology (AKB) into retrievable, governed knowledge

Evaluates and integrates emerging context-engineering tools, frameworks, and knowledge platforms to continuously improve grounding quality and developer enablement

Designs context evaluation, provenance tracking, and citation discipline to ensure traceable, trustworthy grounded outputs

Establishes reusable context architectures, templates, standards, and reference implementations for product teams and engineers

Provides technical direction for complex context architecture decisions involving scalability, maintainability, security, cost, and operational support

Retrieval & Grounding Engineering Owns retrieval-corpus curation and grounding quality including source selection, chunking strategy, embeddings, and index design using Azure AI Search and vector stores

Designs and tunes retrieval pipelines (hybrid search, re-ranking, metadata filtering) for accuracy, cost, and latency across DT&I products

Establishes corpus lifecycle management including freshness, versioning, deduplication, and retirement of stale knowledge

Partners with the AI Engineering Manager to integrate grounded context into agent and application runtimes

Establishes and implements grounding evaluation frameworks, regression tests, benchmark datasets, and quality metrics for retrieval-augmented features

Identifies retrieval and grounding deficiencies and leads corrective actions across affected products

Guides cross-functional teams through complex retrieval, indexing, and knowledge-representation challenges

Context Governance & Enablement Governs the skill and context catalog as a managed asset with named ownership, review cadence, and change control consistent with the Advantage SDLC and Architecture Review Board Provides governed context scaffolding and standards for the Advantage Forge citizen-engineer program and product teams

Coaches engineers on context-engineering practice and maintains documentation so AI-native development scales across the practice

Establishes standards for token economics, context-window management, and prompt efficiency across the portfolio

Risk Management Ensures context infrastructure and grounded knowledge comply with firm security policies, privacy requirements, and regulatory standards (SOC 2, PCAOB AS 2201, QC 1000, ISO 27001)
Establishes controls that prevent sensitive or restricted data from entering prompts, corpora, or model context, and maintains auditability and traceability of grounded knowledge

Partners with risk and compliance stakeholders to maintain alignment between context infrastructure and firm governance requirements

Performs other duties as assigned

Willingly accepts share of less desirable assignments

Supervisory Responsibilities:

Acts as a direct…