Senior Software Engineer Enterprise Technology Services - Jobs - Careers at Apple
- Tailored Implementation: Customize GenAI and process automation platforms so they work well in each business function's environment.
- AI and System Integration: Deploy and operationalize AI agents, LLM-powered workflows, and complex data models in production environments, integrating with enterprise systems and APIs.
- Operating Model Setup: Define and establish the automation operating model, including intake, prioritization, delivery standards, governance, and support handoff.
- Reusable Frameworks: Build reusable components, templates, and patterns so automation can scale across business functions.
- Evaluation and Quality: Design evaluation frameworks to measure accuracy, reliability, hallucination rates, and drift for GenAI and agentic solutions.
- Observability and Operations: Build monitoring, logging, alerting, and cost tracking for AI workflows running in production.
- Responsible AI and Governance: Ensure solutions meet privacy, security, compliance, and responsible AI standards, including data handling, access controls, and human-in-the-loop safeguards.
- Technical Troubleshooting: Solve complex technical blockers and debug issues during deployment, acting as a liaison between business functions and the product engineering team.
- Business Function Embedding: Work alongside business functions to deeply understand their workflows, pain points, and opportunities for automation.
- Value Measurement: Define and track success metrics such as hours saved, cycle time reduction, error rates, and adoption to quantify business impact and ROI.
- Stakeholder Engagement: Act as a technical thought leader, influencing senior leadership decisions through data-driven insights and executive storytelling.
- Cross-Functional Leadership: Lead cross-functional global initiatives across engineering, IT, and operations, and manage vendor performance so projects are delivered on time, on budget, and with high quality.
- Change Management and Adoption: Partner with business teams to drive user adoption, training, and change management.
- Product Feedback: Feed customer insights back to the internal development team to improve the core platform.
- Technology and Innovation: Evaluate emerging technologies such as agentic AI, LLMs, and cloud-native services to drive continuous improvement in efficiency and reliability.
- Mentorship: Mentor engineers and promote engineering best practices through code reviews and design reviews.
- 6+ years of experience in application development, with a proven track record of building highly reliable and scalable systems.
- Strong proficiency in Java and/or Python, with a good understanding of object-oriented techniques, algorithms, design patterns, and reusable component design.
- Hands-on experience building solutions with GenAI, including LLM application patterns such as retrieval-augmented generation (RAG), prompt engineering, tool/function calling, embeddings, and vector databases.
- Proven experience tailoring GenAI and process automation platforms to complex business environments.
- Experience designing APIs and integrating with enterprise systems (e.g., REST, event-driven architectures, ERP, CRM, or ITSM platforms).
- Experience with cloud platforms, containerization, and CI/CD.
- Strong analysis, problem-solving, and troubleshooting skills.
- Experience as a technical thought leader, influencing leadership decisions through data-driven insights and executive storytelling.
- Experience building agentic AI solutions, including agent frameworks and protocols (e.g., LangGraph, MCP) and multi-agent orchestration.
- Experience with workflow orchestration or process automation platforms (e.g., Temporal, Airflow, Camunda, UiPath, ServiceNow).
- Familiarity with LLMOps/MLOps practices such as model versioning, evaluation pipelines, and guardrails.
- Experience with process mining or process discovery tools.
- Track record of taking AI automation from proof of concept to scaled production.
- Good understanding of relational and NoSQL database technologies.
- Commitment to delivering high-quality code with unit and integration tests.
- Hands-on experience with Agile methodologies.
- Passion for the customer, user experience, and acting on user feedback.
- Excellent prioritization and scheduling skills, and the ability to handle ambiguity.
- Attention to detail and the ability to learn new applications and technologies quickly.
- Ability to thrive in a collaborative environment, both within your team and across groups.
- Passion for operational excellence and clear communication with cross-functional teams.
- BS/MS in Computer Science, Software Engineering, or equivalent experience.
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🇬🇧 English