Applied AI Platform Engineer III
deloitteMorristown (NJ)
Applied AI Platform Engineer III
Posted yesterday
deloitteMorristown (NJ)
SENIORITY
Manager
About the role
Overview:
In this role you will build and operate a scalable AI platform layer that enables engineering teams to leverage AI/ML at scale. You’ll craft reusable platform capabilities, tooling, and governance to reduce toil and ensure reliable adoption across Deloitte’s AI engineering investments. Collaborating with cross-functional partners, you will ship lean, high-quality solutions that meet enterprise standards for security and performance. You’ll work hands-on to drive platform integrity, observability, and developer experience, shaping the future of AI engineering at Deloitte.
Responsibilities:
Embrace accountability for platform adoption outcomes and reduce repeated toil across teams Lead platform as a product—define requirements, design architecture, and oversee integration and support Maintain platform architecture integrity and conformance to enterprise tech-stack; manage dependencies and instrumentation Develop lean capabilities through rapid experimentation aligned with consuming teams Collaborate across engineering, SRE, security, data governance, and leadership to ensure secure, compliant paths Deliver advanced platform capabilities with automation from discovery to production and operations (SSDLC) Communicate effectively with stakeholders; advocate for solutions with data-backed narratives Engage with product engineering teams and customers to co-create and align on goals
Key requirements:
Bachelor’s degree in computer science, software engineering, data science, ML, or related field 5+ years in software and platform engineering with experience across multiple languages and frameworks 3+ years building and operating AI/ML platform infrastructure; MLOps/LLMOps tooling, model serving, vector/infrastructure, and eval/observability for LLMs 3+ years cloud-native engineering on Azure/AWS/GCP with Kubernetes/Docker; CI/CD and distributed systems Experience with AI control-plane patterns: model/LLM gateway, agent-runtime patterns, guardrails, policy-as-code, multi-tenant isolation Experience with enterprise data platform engineering: data pipelines, governance-as-code, metadata/ lineage Familiarity with XP/Lean/DevSecOps/SRE/ArgoCD tooling and modern software delivery practices Ability to travel ~10%; limited immigration sponsorship may be available Interpersonal and organizational skills Strong communication and ability to influence stakeholders Collaborative mindset and cross-functional teamwork Python (mandatory) Java/NodeJS/JavaScript/TypeScript; React/Angular; C#/ .NET; SQL/NoSQL PyTorch, TensorFlow
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