This role is for customer-facing Software Engineers who will identify operational pain points and build AI-powered solutions for real-world environments. The position requires collaboration with business stakeholders, engineers, and product managers to understand workflows and deliver scalable technical solutions. Engineers will also be responsible for deploying and operationalizing these solutions alongside customers. Success in this role hinges on strong engineering skills, problem-solving abilities, and effective communication.

• BS/MS in Computer Science, Engineering, Information Systems, or a related technical field
• 7+ years of experience in software engineering, solutions engineering, technical consulting, or other business-facing technical roles
• Strong hands-on engineering skills with Python, APIs, infrastructure platforms, and systems integrations
• Experience deploying, supporting, and troubleshooting production systems in enterprise environments
• Experience building integrations and automating workflows across multiple systems
• Practical experience using LLMs or GenAI APIs to create reliable workflows, automations, or internal tools
• Familiarity with modern AI tooling, agent frameworks, prompt engineering, and orchestration platforms
• Experience with AI agents, workflow orchestration systems, or enterprise automation platforms
• Familiarity with containerization, deployment, and infrastructure tooling such as Docker, Kubernetes, and CI/CD pipelines
• Ability to operate independently and lead without authority
• Experience working in startup or high-growth environments with rapidly evolving priorities
• Strong product intuition and business empathy, with the ability to influence product direction based on field feedback
• Strong problem-solving skills and comfort operating in ambiguous, fast-changing environments
• Demonstrated ability to independently drive solutions from requirements gathering through deployment and iteration
• Proven ability to collaborate cross-functionally across engineering, product, operations, and business teams

• Partner directly with business stakeholders, engineers, and product managers to understand operational workflows, deployment requirements, and process bottlenecks
• Translate ambiguous business needs into practical, scalable technical solutions
• Identify high-impact operational pain points and rapidly deliver solutions that create measurable value
• Scope, design, build, and deploy AI-powered internal tools, workflow automations, and system integrations across test and production environments
• Lead business implementations and deployments as a forward-deployed Software Engineer / Technical Product Manager
• Build and maintain integrations across APIs, systems, and data platforms
• Troubleshoot production issues, debug live environments, and drive issues through resolution
• Guide user adoption, training, and iterative improvement as workflows and AI capabilities evolve
• Partner closely with product and engineering teams to improve platform capabilities based on real-world operational feedback
• Operate effectively in dynamic environments with evolving business and deployment requirements

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.