About the role
Job Title: Business Process Engineer (Platform Specs Analyst) Location: Fully Remote
Role Summary Our client, a major enterprise organization, is seeking a Business Process Engineer to convert business outcomes, architecture intent, and platform capabilities into structured specifications consumable by both engineers and AI coding agents. This role sits at the center of the client's agentic delivery model — producing the context, contracts, acceptance criteria, and validation logic required to turn ambiguity into executable work.
Key Responsibilities
- Translate product goals, architecture decisions, stakeholder needs, and platform constraints into clear, implementation-ready specifications
- Author platform capability definitions, API contracts, data contracts, event contracts, agent contracts, non-functional requirements, and testable acceptance criteria
- Create structured context packages for AI-assisted development, including business rules, workflow definitions, edge cases, sample payloads, user journeys, and validation expectations
- Maintain traceability from business objective through requirement, design artifact, test scenario, release criterion, and production outcome
- Partner with Product Owners, Architects, Engineers, and Subject Matter Experts to refine backlogs, decompose work, clarify dependencies, and reduce cross-team coordination friction
- Define test scenarios and quality validation patterns so QA is embedded into the requirements-to-context pipeline rather than handled as a downstream handoff
- Maintain reusable specification templates, standards, glossaries, and golden-path documentation for teams
- Validate delivered functionality against intended outcomes and identify gaps between requirement, implementation, and operating behavior
Preferred Experience & Capabilities
- Strong business analysis, systems analysis, requirements engineering, and technical documentation skills
- Ability to work with API specifications, integration patterns, data schemas, workflow definitions, and service contracts
- Experience creating user stories, acceptance criteria, scenarios, test cases, process flows, and implementation artifacts
- Familiarity with agile delivery, product backlogs, QA automation concepts, and AI-assisted development workflows
- Ability to communicate effectively with business, engineering, architecture, security, and operations stakeholders
What Sets This Role Apart
- Acts as a multiplier for engineers by creating high-quality context that enables AI agents to produce stronger first-pass outputs
- Owns precision and clarity in a delivery model where thin coordination surfaces replace recurring clarification meetings
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