AI Platform Specs Analyst

Summary

Confidential company is seeking an AI Platform Specs Analyst to support an agentic delivery model by translating business outcomes, architecture intent, and platform capabilities into structured specifications. The role develops implementation-ready contracts, context packages, acceptance criteria, validation logic, and traceability while collaborating with product, architecture, engineering, QA, security, and operations stakeholders.

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 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

Skills

• 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

Qualifications

Nice to Haves

• 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

Benefits

• Remote work arrangement