AI Transformation Engineering Lead

Goodleap

United States

Remote

USD 170,000 - 235,000

Full time

14 days+

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Benefits offered by this job

Bonus eligibility
Equity

Job summary

United States Digital Space LLC is seeking an Engineering Manager for the AI Transformation team. This hands-on leadership role will guide architecture, delivery, and operational health of AI solutions, including agents and plugins, while building and scaling the team.

The role emphasizes secure, compliant development in a regulated financial services context, with cross-functional collaboration and KPI-driven delivery across multiple teams.

Qualifications

  • 7+ years of software engineering experience.
  • Hands-on experience building and shipping LLM-based or agentic AI products.
  • Strong grasp of cloud-native architecture (AWS or equivalent), API design, and modern CI/CD practices.
  • Proficiency in TypeScript and/or Python.
  • Track record of hiring, coaching, and growing engineers.
  • Excellent stakeholder management and communication skills.

Responsibilities

  • Lead, coach, and grow the AI Transformation engineering team.
  • Own the architecture, delivery, and reliability of the team's AI solutions.
  • Guide technical decisions on agentic workflows and orchestration; enforce security and compliance standards.
  • Partner with Product, business units, and Governance to align delivery with outcomes across multiple teams.
  • Drive CI/CD, observability, and manage technical debt and scalability.

Skills

Software engineering
Leadership
LLM/Agentic AI
Cloud architecture
TypeScript
Python
Hiring & coaching
Stakeholder management

Tools

AWS

Job description

United States Digital Space LLC is seeking an Engineering Manager for the AI Transformation team. This hands-on leadership role will guide architecture, delivery, and operational health of AI solutions, including agents and plugins, while building and scaling the team.

The role emphasizes secure, compliant development in a regulated financial services context, with cross-functional collaboration and KPI-driven delivery across multiple teams.

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