Engineering Manager - Applied AI
$160k - $190kControlHire | ControlTemp
Job Description
About the Company
\nBuild an AI organization from day one. Our client, a large, publicly traded construction and building services company ($4B+ in 2026 revenue guidance), is launching a new Applied AI organization that sits between Technology and Operations. Executive sponsorship is strong, and 50+ AI initiatives are already in the pipeline.
\n \nAbout the Role
\nThey need a hands-on AI Engineering Manager to lead the build. This is a player-coach position. You will lead a team of engineers while staying close to the code, architecting, building, and deploying AI-enabled applications and agentic workflows that make internal operations faster and smarter.
\n \nResponsibilities
\n- \n
- Architect, build, and deploy AI applications and workflows \n
- Write production code and stay hands-on with technical delivery \n
- Lead engineers and set technical direction across AI initiatives \n
- Translate business requirements into working prototypes and solutions \n
- Integrate AI with enterprise systems, Microsoft 365, and operational platforms \n
- Partner directly with senior business leaders and executives \n
- Drive projects from scope through deployment and adoption \n
Focus Area
\n- \n
- Corporate Operations: Finance, Accounting, ERP, HR, and enterprise systems \n
- Operations: Field service, maintenance, planning/dispatch, and technician enablement \n
- Engineering & Construction: Project delivery, estimating, design, and project controls \n
Qualifications
\n- \n
- 7+ years building software, with recent hands-on coding \n
Required Skills
\n- \n
- Personally designed, built, and deployed AI applications or workflows (you'll be asked to walk through one) \n
- Strong Python, TypeScript/JavaScript, C#, Java, or similar \n
- Experience with LLM APIs, agentic AI, and AI coding assistants (Claude, Copilot, ChatGPT) \n
- Azure experience (required) \n
- Enterprise systems and integration experience \n
Preferred Skills
\n- \n
- Construction, AEC, or field-service technology background is a plus for the relevant tracks \n
Tech Stack
\n- \n
- Azure \n
- Claude / Claude Code \n
- Microsoft Copilot / GitHub Copilot \n
- ChatGPT / LLM APIs \n
- MS365 \n
- Python \n
- TypeScript \n
- JavaScript \n
Pay range and compensation package
\n- \n
- $160,000 – $190,000 base salary plus annual bonus \n
- 401(k) match \n
- Medical, dental, and vision \n
- Flexible vacation and company holidays \n
- Business travel reimbursed \n
Location
\nFully remote, with approximately 10% travel. {Operations roles: candidates near the DC/Maryland/Virginia area or San Jose, CA are preferred, but all U.S. locations will be considered.}
\n \nInterview Process
\nStreamlined, with two rounds. Expect a technical conversation, including a walkthrough of an AI application you've built and deployed.
\n \nEqual Opportunity Statement
\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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