2 months ago
Responsibilities
- Partner with People business owners and engineering teams to re-engineer processes using AI, automation, and enterprise technology.
- Translate complex operational requirements into scalable technology solutions and automated workflows.
- Evaluate technical feasibility, operational complexity, business value, risk, and scalability when prioritizing automation opportunities.
- Design or enable AI-enabled applications, agentic workflows, integrations, reusable capabilities, and shared platform components.
- Drive initiatives from discovery through implementation, production support, adoption, and continuous improvement.
- Collaborate across engineering, business, security, governance, UX, and platform teams.
- Apply responsible AI, privacy, governance, security, observability, and control practices to solutions involving sensitive employee or enterprise data.
Requirements
- 8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles.
- Experience translating business and operational requirements into scalable technology solutions.
- Experience designing, building, or enabling automated workflows across enterprise systems and business processes.
- Hands-on technical fluency with APIs, integrations, scripting, SQL/data querying, workflow orchestration, and enterprise application platforms.
- Experience with AI-enabled applications, agentic workflows, or intelligent automation in an enterprise environment.
- Understanding of software delivery and production lifecycle concepts, including development, testing, deployment, monitoring, support, and continuous improvement.
- Strong communication, stakeholder management, independent problem-solving, and cross-functional collaboration skills.
- Preferred experience with LLM-powered applications, tool calling, retrieval and grounding, context management, structured outputs, and agentic workflow orchestration.
- Preferred experience with APIs, MCP servers, orchestration frameworks, enterprise integration layers, reusable agent and tool interfaces, and enterprise hosting and deployment patterns.
- Preferred knowledge of AI security, authentication, authorization, service identities, secrets management, least-privilege access, secure API design, auditability, sensitive-data handling, evaluation, observability, and production telemetry.
- Preferred experience with structured and unstructured enterprise data, SQL, retrieval pipelines, knowledge repositories, enterprise data platforms, source control, CI/CD, automated testing, release management, and operational support.
- Experience in People, HR technology, People Operations, People Support, or adjacent enterprise business functions is a plus.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.