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Technical Director / Head of Cloud AI Platform Engineering

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States , Iselin ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

215000.00 - 355000.00 USD / Year
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Job offer has expired

Job Description:

We are seeking a Technical Director / Head of Cloud AI Platform Engineering to lead the strategy, modernization, and scaled delivery of our enterprise AI platform. This role focuses on building a cohesive platform ecosystem that enables teams to develop, deploy, and operate AI solutions with speed and safety while providing consistent governance, operational excellence, and a frictionless developer experience. As a senior technology leader, you will set long-term direction, define platform standards, and build an operating model that enables predictable delivery and measurable outcomes. You will partner with engineering, security, risk, and data teams to ensure the platform accelerates AI adoption while meeting enterprise expectations for resilience, auditability, and compliance.

Job Responsibility:

  • Define the target-state vision and multi‑year roadmap for AI platform capabilities, including funding priorities, sequencing, and success metrics.
  • Establish platform governance processes (architecture reviews, standards, reference implementations, and decision records) to drive consistency and reuse.
  • Build a service model (service tiers, SLAs/SLOs, support processes, adoption enablement) and continuously improve based on feedback and telemetry.
  • Set architectural direction for reusable AI platform components (pipeline standards, environment templates, model deployment/serving patterns, monitoring).
  • Drive adoption through self-service onboarding, curated “golden paths,” and platform APIs that reduce friction for application teams.
  • Establish consistent patterns for multi-environment promotion, reproducibility, and secure-by-default delivery across hybrid/multi-cloud footprints.
  • Partner with security/risk teams to implement scalable controls (policy-as-code, RBAC, approvals, audit evidence generation, lineage/traceability).
  • Ensure controls are automated and embedded into workflows to reduce manual approvals while increasing compliance consistency.
  • Define standards for data access, secrets, and identity integration to support AI workloads in regulated environments.
  • Own operational excellence: incident response, postmortems, preventative engineering, capacity planning, and reliability targets for platform services.
  • Implement observability and performance management practices that provide actionable insights and reduce MTTR.
  • Drive cost optimization and efficiency for AI infrastructure and workloads (capacity governance, utilization, scaling strategy, and platform-level guardrails).
  • Lead and mentor senior leaders and engineers
  • build a strong culture of accountability, engineering rigor, and continuous improvement.
  • Develop hiring plans, career pathways, and succession strategies to sustain platform growth and maturity.
  • Communicate platform strategy and progress to executives and stakeholders
  • align priorities across teams and resolve conflicts effectively.

Requirements:

  • 8+ years of Technology Strategic Leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of management or leadership experience
  • 2+ years leading AI platform / MLOps / LLMOps ecosystems and standardizing model lifecycle delivery

Nice to have:

  • Demonstrated success defining platform strategy and delivering enterprise platform capabilities at scale
  • Strong understanding of enterprise risk/compliance expectations and operationalizing governance in platform workflows
  • Experience partnering across architecture, security, data, and application teams to drive adoption and standardization
  • Track record of improving reliability, operational maturity, and customer experience for critical platforms.
  • Experience with enterprise technology role frameworks and workforce/skills alignment approaches (Workday-oriented role clarity and skills)
  • Experience building internal platform products (service catalog / portal integration) and measurable developer experience improvements
  • Strong executive storytelling, stakeholder management, and the ability to influence enterprise roadmaps.
What we offer:
  • 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

Additional Information:

Job Posted:
February 14, 2026

Expiration:
February 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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