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Senior Manager - AI Engineering

Job in Lancaster, Los Angeles County, California, 93586, USA
Listing for: Vertex
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, IT Project Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Description

Remote - PA time type Full time posted on Posted Today job requisition idJR
102311

Job Description Summary
  • Vertex Commercial AI Value Stream is new and already delivered the first two flagship AI products a testament to our center of excellence approach and bold vision. We're leading a significant cultural and technical transformation to embed AI across the business, operating on the bleeding edge of innovation. To accelerate this momentum, we are seeking a Senior Managers of AI Engineering who will take on high-impact leadership roles in this fast‑paced, ever‑evolving environment.

    This role offers the opportunity to shape the future of AI at Vertex, driving projects from concept to reality while influencing change across diverse teams.
  • This Senior Manager AI Engineering position offers a unique opportunity to shape the AI future of a market‑leading company. If you are excited by the challenge of building new AI solutions from the ground up, leading teams through fast growth, and driving change at enterprise scale, we encourage you to apply and join us on this transformative journey. Inspire, innovate, and make an impact with Vertex's Commercial AI team!
Role Overview
  • As a Senior Manager of AI Engineering, you will play a pivotal leadership role in delivering advanced AI‑powered products for Vertex. You will lead a talented teams to build and deploy AI/ML solutions that align with our strategic business objectives. This role requires not only strong technical expertise and architecture skills in AI, but also the vision and influence to bridge technology and business: translating complex AI capabilities into transformative business value.

    If you are excited by the opportunity to work on high‑profile AI projects, drive innovation at enterprise scale, and mentor teams in an environment that celebrates agility and continuous learning, then this role is made for you.
Key Responsibilities
  • Lead and Mentor AI Engineering Teams:
    Lead, and manage multidisciplinary teams, cultivating a high‑performance culture of innovation and accountability. Provide technical guidance and mentorship to develop your team's skills and careers.
  • Strategic AI Roadmap Execution:
    Develop and implement the AI engineering strategies and product roadmaps to align with business objectives, ensuring our AI solutions drive clear business value. Balance quick wins with long‑term vision to continuously advance Vertex's AI capabilities.
  • End‑to‑End Solution Delivery:
    Oversee the design, development, and deployment of AI models, algorithms, and applications from concept through production. Ensure rigorous testing, validation, and QA processes for high‑quality, reliable, and scalable AI solutions.
  • Cross‑Functional

    Collaboration:

    Work closely with product management, architecture, and operations teams to integrate AI capabilities into existing systems and workflows. Communicate technical issues and insights in plain language to non‑technical stakeholders, acting as an effective bridge between business and technology.
  • Champion AI Adoption & Innovation:
    Serve as a change agent for AI adoption across the organization. Drive a culture of innovation and agile best practices, coaching other teams in how to leverage AI technologies effectively. Promote knowledge sharing, experiment with emerging AI tools, and lead the charge in expanding our AI‑first mindset throughout Vertex.
  • Technical Excellence & Governance:
    Lead key decisions on AI architectures, tools, and frameworks. Stay up-to-date with the latest advancements in AI/ML and evaluate emerging technologies, ensuring Vertex remains on the cutting edge and uses the best techniques for each problem. Establish and enforce engineering best practices (coding standards, MLOps, CI/CD pipelines, etc.) to maintain technical excellence.
  • Project Management & Delivery:
    Own delivery of AI engineering projects. Manage project timelines, and resources effectively to meet milestones and deliver results on schedule. Proactively identify and resolve obstacles or risks, ensuring an iterative and transparent delivery process in line with our agile methodology.
  • Stakeholder Engagement:
    Partner with senior…
Position Requirements
10+ Years work experience
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