The Environment and Supply Chain Innovation (ESCI) team sits within Worldwide Operations and works to uphold Apple's values across our global supply chain. The ESCI Technology Solutions team is seeking an experienced AI and infrastructure engineer to join us. You'll work alongside other software and data engineers in collaboration with our internal and external users to build applications that help support ESCI's goals which include upholding the highest standards of labor and human rights for the people in our supply chain and Apple 2030 - Apple's goal to be carbon neutral across our global footprint by 2030.DescriptionAs a Senior AI and Infrastructure Engineer, you will be a hands-on technical leader responsible for designing, building, and supporting AI-powered systems and the infrastructure behind them. You'll develop agentic systems, ML-backed services, and production pipelines while partnering with cross-functional teams to coordinate the complex interdependencies inherent in platform development. This role requires excellent communication skills - you'll collaborate with ESCI subject matter experts from a variety of disciplines to craft requirements, strategy, and architectural patterns that deliver high-impact solutions.

Responsibilities:

Design and build complex agentic systems using LLMs, including RAG pipelines, prompt engineering, evaluation frameworks, and inference endpointsDevelop and maintain backend services supporting ML workloads - data ingestion, model evaluation, and production inferenceDesign and maintain cloud infrastructure (Kubernetes, Terraform) to support AI workloads and application deploymentsWrite well-tested, production-ready code with attention to reliability, performance, and developer experienceSupport the data engineering team with scalable infrastructure for ELT pipelines and data warehousingContribute to observability, monitoring dashboards, and tooling for ML systemsCollaborate with cross-functional teams to translate business requirements into technical solutions and strategiesParticipate in design reviews, code reviews, and establish engineering best practices via ADRs and knowledge sharingCommunicate and present technical solutions, strategy, and roadmaps to ESCI stakeholders and leadershipPreferred QualificationsExperience with RAG architectures, prompt engineering, evaluation pipelines, and agentic workflowsFamiliarity with ML frameworks such as PyTorch, Hugging Face, or LangChainExperience working on platform engineering or developer experience platformsExperience with data engineering practices including dbt, Snowflake, Databricks, and building data marts for analyticsProficiency in JavaScript/TypeScript for tooling and web application developmentExperience with CQRS/ES architecture patternsKnowledge of observability tools and practices (Telemetry, Prometheus, Grafana)Experience with GitOps workflows and deployment automationCollaborative mindset with keen interest in keeping up with the latest in the industryAbility to work independently on scoped features with minimal supervisionMinimum Qualifications7+ years of software engineering experience, with expertise in backend technologies and AI/ML systemsBachelor's in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent industry experience)Proven experience building complex agentic systems using LLMsStrong programming skills in Python; proficiency with backend API service developmentHands-on experience with Kubernetes and Infrastructure as Code (Terraform)Familiarity with ML concepts including model inference, evaluation, data pipelines, and LLM application development Experience with a cloud data warehouse - Snowflake preferred (warehouses/roles, performance tuning, cost management)Experience developing ELT pipelines and orchestrating transformations (dbt Cloud, Airflow, Dagster, or similar)Strong proficiency in database technologies and CI/CD solutionsExcellent communication skills and ability to collaborate with both technical and non-technical teamsExperience leading technical projects and mentoring engineers via PR review, collaboration, and ADRsPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about

Apple BenefitsNote:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.