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About the Role
This role is central to the agentic delivery model, producing the context, contracts, acceptance criteria, and validation logic required to turn ambiguity into executable work. Acts as a multiplier for engineers by creating high-quality context that lets AI agents produce better first-pass outputs.
Responsibilities
- Converts business outcomes, architecture intent, and platform capabilities into structured specifications that can be consumed by engineers and AI coding agents.
- 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 to requirement, design artifact, test scenario, release criterion, and production outcome.
- Partner with Product Owners, Architects, Engineers, and SMEs 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.
Requirements
- Business Process Engineer (Platform Specs Analyst)
- 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.
- Ability to communicate effectively with business, engineering, architecture, security, and operations stakeholders.
- Owns precision and clarity in a model where thin coordination surfaces replace recurring clarification meetings.
Skills
- API specifications
- Integration patterns
- Data schemas
- Workflow definitions
- Service contracts
- User stories
- Acceptance criteria
- Scenarios
- Test cases
- Process flows
- Implementation artifacts
- Agile delivery
- Product backlogs
- QA automation concepts
- AI-assisted development workflows
Location
- México
Experience Level
- Senior