Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals

Requirements

5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of hands‑on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
2+ years of experience working on platform or ML/AI infrastructure products within regulated environments
2+ years of experience of proven success owning an API or platform with accountability for SLAs/SLOs, including versioning and deprecation strategies, change management, and reliability outcomes
Strong communication skills, with the ability to influence senior stakeholders and clearly explain complex technical concepts to diverse audiences
Working knowledge of LLM/SLM inference stacks, including vLLM, Triton, and TensorRT‑LLM, as well as batching strategies, KV cache management, quantization techniques (e.g., FP8, INT4), and evaluation frameworks—sufficient to make informed product trade‑offs with engineering teams
Familiarity with GPU and platform fundamentals, such as modern GPU architectures (e.g., H100/H200), MIG and NCCL, GPU orchestration tools (NVIDIA/Run:AI), and Kubernetes/OpenShift AI administration and admission control patterns
Experience building developer‑centric platforms, including APIs, SDKs, and structured release and governance processes
Hands‑on experience with observability and evaluation for GenAI systems, including dashboards, tracing, alerting, and safety and quality metrics
Demonstrated strength in stakeholder management, partnering effectively across Risk, Security, Architecture, and line‑of‑business application teams

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Artificial Intelligencecloud platformsGCPAzureDockerKubernetesML/AI infrastructureAPI managementobservabilityGenAI systems

Soft Skills

communication skillsstakeholder managementinfluencingcollaborationproblem-solvingstrategic thinkingdecision-makingconsultationgoal achievementissue resolution