AI/ML Technical Lead/Architect - Only Locals, NC or NJ

Title: Technical Lead, AI

Location: Raleigh, NC or Weehawken, NJ - Hybrid/Onsite

Type: Contract to hire

• Ideally 18+ years of experience in software engineering, technical leadership, and solution architecture, including delivery in complex enterprise environments.
  Expertise in AI/ML frameworks.
  Strong understanding of cloud-native platforms (preferably Azure or AWS), Kubernetes, microservices architecture, and API management.
  Familiarity with ML Ops practices and tools like MLflow, Kubeflow, Airflow, or Databricks for scalable model lifecycle management.
  Solid experience in financial services technology, especially within Private Banking, Wealth Management, or Capital Markets.
  Deep knowledge of information security, technology risk, and regulatory compliance in the financial sector.
  Proven ability to lead high-performing, diverse teams, foster psychological safety, and drive cultural transformation.
  Ability to influence and align senior stakeholders across business and technology with clarity and confidence.

• Lead the end-to-end design, architecture, and delivery of cutting-edge AI/ML solutions at enterprise scale.
  Serve as the go-to technical leader, mentor, and thought partner for a team of senior engineers and data scientists.
  Collaborate closely with product owners, business stakeholders, and global engineering teams to align AI initiatives with organizational goals.
  Champion engineering excellence, secure development practices, and delivery velocity through modern DevOps and MLOps strategies.
  Influence technology roadmaps and investment strategies for AI across multiple UBS platforms.
  Stay on the pulse of emerging technologies and guide adoption of scalable, future-ready architectures.
  partner with GWM Americas AI Teams and respective senior digital and business leads
  own together with the Crew Product Lead the overall quality of the crew s products related to Artificial Intelligence including their operational health, client and internal user satisfaction, controls and the delivery of valuable outcomes
  work with GWM Americas Technology and CTO partners to define the technology strategy and execution plan
  formulate the crew's long-term vision, mission, strategy and quarterly objectives and key results as well as representing the crew in the quarterly business review
  build automation of the WMA functions, partnering with GWM Americas on their key technology initiatives, and technology modernization of the GWM Americas estate
  own the implementation of AI across GWM Americas
  lead the crew in agile practices, empowering and developing crew members, and striving for continuous improvement whilst making space for learning and innovation
  ensure best-in-class technical delivery of a family of products enabling excellent client journeys throughout their lifecycle
  manage stakeholders and take ownership of technical escalations, working to resolve issues, remove impediments and make the necessary technical improvements.
  line manage the AI implementation leads, partner closely with the Crew Product Lead, architects and control functions and collaborate across streams and divisions
  build a global footprint to support the function