Engineering Manager, AI Transformation

Bot Jobs; Myrtle Point (OR); On-site; USD 169,000 - 192,000; Full time

Benefits offered by this job

Bonus potential

Equity

Job summary

GoodLeap is seeking an AI Transformation Engineering Manager to lead a hands-on, high‑growth team responsible for architecting and delivering agentic AI solutions, including agents, plugins, and evaluation harnesses. You will guide architecture, hiring, and coaching to scale delivery and reliability while maintaining security and compliance in a regulated financial services environment.

You will partner with Product, business units, and governance to drive measurable adoption, quality, and

Qualifications

• 7+ years of software engineering experience, including 2+ years in technical leadership or management roles.
• Hands-on experience building and shipping LLM-based or agentic AI products (prompting, evals, agent frameworks, MCP or similar orchestration).
• 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 through changing scope.
• Excellent stakeholder management and communication skills; comfortable operating across Product, business units, Security, and Compliance.
• Experience in a regulated environment (fintech, lending, payments) a plus.
• Experience integrating AI or agentic tooling into the software development lifecycle to improve engineering throughput a plus.

Responsibilities

• Lead, coach, and grow the AI Transformation engineering team; own hiring, performance management, and career development.
• Own the architecture, delivery, and reliability of the team's AI solutions (agents, plugins/skills, evaluation harnesses, integrations, usage analytics).
• Guide technical decisions on agentic workflows, LLM integration, and MCP-based orchestration; set engineering standards for security, compliance, and auditability.
• Cross-functional execution with Product and business units to align engineering with business outcomes; define and track KPIs.
• Drive CI/CD, observability, and support; manage technical debt and scalability.

Skills

Software engineering

Technical leadership

LLM/agentic AI

Cloud-native architecture

API design

TypeScript

Python

Hiring & coaching

Stakeholder management

Regulated fintech experience

Tools

AWS

CI/CD tools

Job description

Position Summary

GoodLeap's AI Transformation team partners with business units across the company to enable safe and effective AI adoption through tools, guidance, infrastructure, training, and custom solutions — from Claude plugins and skills to AI agents, evaluation frameworks, and usage analytics. The Engineering Manager will lead the AI Transformation engineering team, owning the delivery, quality, and operational health of the AI solutions the team builds and maintains.

This is a hands‑on technical leadership role for someone who can guide the architecture of agentic AI systems while building, coaching, and scaling the team accountable for them.

Essential Job Duties and Responsibilities

• People Leadership – Lead, coach, and grow the AI Transformation engineering team. Own hiring, performance management, and career development. Build a high‑performance, accountable engineering culture.
• Technical Leadership – Own the architecture, delivery, and reliability of the team's AI solutions (agents, plugins/skills, evaluation harnesses, integrations, usage analytics).
• Guide technical decisions on agentic workflows, LLM integration, and MCP‑based orchestration. Set and enforce engineering standards for security, compliance, and auditability appropriate to a regulated financial services environment. Champion modern engineering practices, including AI‑assisted and agentic development workflows.
• Cross‑Functional Execution – Partner with Product, business units, and the Enterprise AI Governance process to align engineering delivery with business outcomes across consult, co‑develop, and own‑and‑maintain engagement models. Own delivery across initiatives spanning multiple teams; define and track KPIs for adoption, quality, and velocity.
• Process & Operational Maturity – Drive CI/CD, observability, and support rigor across the team's solutions. Manage technical debt and scalability as the portfolio of AI solutions grows.

Required Skills

• 7+ years of software engineering experience, including 2+ years in technical leadership or management roles
• Hands‑on experience building and shipping LLM‑based or agentic AI products (prompting, evals, agent frameworks, MCP or similar orchestration)
• 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 through changing scope
• Excellent stakeholder management and communication skills; comfortable operating across Product, business units, Security, and Compliance
• Experience in a regulated environment (fintech, lending, payments) a plus
• Experience integrating AI or agentic tooling into the software development lifecycle to improve engineering throughput a plus

Salary and Benefits

CA, WA, NJ, MA, DC, NYC range: $185,200 - $210,600

Rest of US Range: $169,100- $191,800

SF Range: $207,900- $235,700

In addition to the above salary, this role may be eligible for a bonus and equity.

Additional Information

Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or