Primary Responsibilities:

• Design, deploy, andoperateLineagescore AI platform, including model hosting, orchestration, and evaluation (evals) infrastructure.

• Build andmaintainCI/CD pipelines, developer tooling, and sandbox environments that enable Forward Deployed Engineers and Skills/Agent Engineers to ship use cases rapidly.

• Implement guardrails, monitoring, and observability to ensure platform safety, security, and compliance with enterprise IT, Cyber, Legal, and Risk requirements.

• Collaborate with IT Security, Legal, and Risk stakeholders to embed governance into the platform from day one.

• Define and enforce platform standards, including APIs, SDKs, and model packaging conventions, so that integrationsremainconsistent and maintainable as the platform scales.

• Partner with the Site Reliability Engineersto establish SLOs, incident response, and capacity planning as the platform scales.

• Contribute to the evaluation framework by building tooling for automated model testing, regression detection, and performance benchmarking.

• Consistently deliver high-quality software and processes in usable increments.

• Grow andmaintaina broad and deep knowledge of supply chain operations and the ways AI can be applied to them.

Education and Work Experience:

• University degree in computer science, software engineering, or a related field and/or >10years of relevant work experience.

• 5+ years of experience in platform engineering, infrastructure engineering,MLOps, ora relateddiscipline.

• Hands-on experience building and operating ML/AI serving infrastructure (e.g., model registries, inference endpoints, evaluation pipelines).

• Strongproficiencywith cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).

• Experience with infrastructure-as-code (Terraform,Pulumi) and CI/CD tooling.

• Solid understanding of security and compliance requirements in regulated enterprise environments.

• Experience standingupa new platform or developer platform from scratch (greenfield builds) is strongly preferred.

• Familiarity with LLM deployment patterns, agent frameworks, and retrieval-augmented generation (RAG) architectures is a plus.

• Experience with model evaluation tooling and red-teaming methodologies is a plus.

• Previousexposure to supply chain technologies including WMS, TMS, YMS, and related systems is a plus.

Required Skills and Abilities:

• Demonstrate excellent verbal and written communication skills, including the ability to translate platform capabilities into terms business and governance stakeholders understand.

• Possess a willingness to be coached and proactively seek feedback.

• Manage multiple assignments / projects simultaneously.

• Properly set priority and order for work.

• Work in a fast-paced, agile environment.

• Ask for help and provide it to others.

• Understand your skills and your talents and apply them appropriately.

• Learn and apply modern technologies and business concepts.

• Mentor and provide guidance, especially to other technical resources.

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