Remote AI‑Driven Technical Delivery Lead (Hands‑On)

Legence; San Jose (CA); Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

401(k) Match

Health benefits

Life Insurance

Disability Insurance

Paid time off

Travel expenses reimbursed

Job summary

Legence in San Jose, CA is seeking a Technical Delivery Manager who will lead a team of engineers while writing production code, designing solutions, and guiding AI‑driven development for enterprise systems.

You will own architecture, drive delivery end‑to‑end, mentor engineers, and collaborate with stakeholders to translate business goals into working software. A strong background in AI tooling, cloud platforms, and scalable integrations is required.

Qualifications

• 7+ years building software with hands‑on coding.
• Experience with AI‑driven software development and LLM APIs.
• Experience integrating ERP/CRM and cloud platforms.
• Proven track record delivering enterprise software while leading a team.

Responsibilities

• Design, build, and ship hands‑on solutions; own architecture and tooling decisions.
• Lead and mentor engineers; foster a strong engineering culture.
• Collaborate with stakeholders to translate business goals into working software.
• Drive AI‑driven development, tool adoption, and secure scalable integrations.
• Ensure delivery end‑to‑end with measurable outcomes.

Skills

Software development

AI-driven development

Enterprise integrations

Leadership & mentorship

Executive communication

CI/CD & DevOps

Education

Bachelor's degree in Computer Science or Engineering

Tools

Azure

AWS

GCP

LLM APIs

Job description

Legence in San Jose, CA is seeking a Technical Delivery Manager who will lead a team of engineers while writing production code, designing solutions, and guiding AI‑driven development for enterprise systems.

You will own architecture, drive delivery end‑to‑end, mentor engineers, and collaborate with stakeholders to translate business goals into working software. A strong background in AI tooling, cloud platforms, and scalable integrations is required.