Wells Fargo
Wells Fargo
Wells Fargo este o companie multinațională de servicii financiare care activează în domeniul bancar și al produselor financiare conexe. Oportunitățile sale de angajare includ poziții pentru profesioniști aflați la început de carieră, specialiști cu experiență și lideri, cu accent pe colaborare, inovație și o cultură organizațională incluzivă. Compania evidențiază, de asemenea, programe de dezvoltare concepute pentru a sprijini evoluția profesională în cadrul forței sale de muncă extinse.

Engineering Manager, GenAI and Full-Stack Solutions

Lead engineering teams delivering enterprise GenAI, Agentic AI, and full-stack solutions at Wells Fargo. Guide secure delivery, cloud platforms, and execution across complex technology initiatives.

Descriere

  • Lead and develop engineers delivering GenAI and full-stack solutions
  • Direct complex technology initiatives, including enterprise-wide AI programs
  • Oversee the design and delivery of Agentic AI systems and automation workflows
  • Guide end-to-end full-stack development across user interfaces, APIs, and cloud platforms
  • Work with architects to align solutions with enterprise standards and best practices
  • Partner with product, business, and data science teams to turn requirements into solutions
  • Maintain delivery quality through CI/CD, testing, and observability practices
  • Coordinate resource allocation, project planning, and delivery schedules
  • Mentor and coach engineers, including supporting hiring and performance management
  • Ensure solutions meet security, risk, and regulatory requirements

Cerințe

  • At least five years of software engineering experience, or equivalent experience demonstrated through work, training, military service, or education
  • At least two years of leadership experience
  • At least two years of full-stack development experience with Java, Node.js, or Python
  • At least one year of experience delivering cloud-native applications on GCP, AWS, or Azure
  • At least one year leading complex technology initiatives
  • At least one year managing engineering teams
  • At least one year of microservices development experience
  • Experience with GenAI, large language models, or conversational AI solutions
  • Experience with Agentic AI frameworks and multi-agent architectures
  • Exposure to retrieval-augmented generation, prompt engineering, or AI evaluation frameworks
  • Experience with contact center technologies or enterprise automation platforms
  • Strong knowledge of distributed systems and API integrations
  • Ability to influence stakeholders and build cross-functional alignment
  • Ability to work on-site at an approved location
  • Relocation assistance is not available for this position

Beneficii

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

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