Responsibilities

• Act as an advisor to senior leadership in developing a large cross functional team to identify and execute complex artificial intelligence initiatives that span a large line of business
• Provide consultation to more experienced leaders in order to recommend solutions which solve business challenges
• Lead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefits
• Leverage Artificial Intelligence expertise to evaluate technological readiness, data availability, and resources required to execute the proposed solutions
• Provide direction on key issues which may arise during development or implementation
• Cultivate relationships with clients to identify and develop a pipeline of future Artificial Intelligence opportunities which align with the strategic priorities of the business
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Requirements

• 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years' experience across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions
• 3+ years hands-on experience with cloud technologies (GCP, or Azure) and container orchestration (Docker, Kubernetes/OpenShift)

Preferred

• 5+ years of experience across the AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk management
• Proven experience operating within large enterprise environments (regulated industry experience preferred) and building scalable, production-grade platforms
• Hands-on expertise with Generative AI and agentic AI frameworks, including LLMs, diffusion models, RAG, and tool-based agents; familiarity with ecosystems such as Azure OpenAI, Hugging Face, LangChain/LangGraph, ADK, and vector databases
• Strong experience with MLOps/LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt and chain versioning, evaluation frameworks, guardrails, and monitoring
• Exceptional communication skills with the ability to translate complex technical concepts into clear, actionable insights and influence senior stakeholders
• Working knowledge of modern AI/ML platform components and services, such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and distributed model execution platforms
• Demonstrated ability to develop and execute executive-level roadmaps and dashboards that clearly articulate business impact, adoption trends, and risk posture
• Deep technical acumen with the ability to engage at a detailed level across APIs, SDKs, security controls, data contracts, and system performance
• Strong negotiation, stakeholder management, and cross-functional leadership capabilities, with a track record of driving alignment and outcomes across diverse 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