13 дней назад
AI PDLC Engineering Manager (Agentic AI)
122 500 - 168 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI PDLC Engineering Manager (Agentic AI) (.NET/C#/AI): Leading an agile engineering pod that turns agentic AI prototypes into secure, scalable production software with an accent on technical architecture, AI coding agents, and people leadership. Focus on multi-agent orchestration, production hardening, CI/CD pipelines, evaluation datasets, and ethical AI practices.
Location: Westminster, Colorado; in office 4 days per week. Travel requirement: minimal to 10%. The posting also lists Lake Oswego, Oregon under conditions.
Salary: $122,500–$168,400 per year, plus bonus eligibility and comprehensive benefits.
Company
is a global technology company connecting physical and digital worlds through positioning, modeling, data analytics, and solutions for construction, geospatial, and transportation industries.
What you will do
- Lead an agile engineering pod and direct the use of AI coding agents, agentic frameworks, and multi-agent workflows.
- Transform agentic AI prototypes into secure, scalable production features with robust error handling, test coverage, observability, and compliance controls.
- Own hiring, onboarding, mentoring, career development, and performance coaching for engineers.
- Build and maintain shared repositories, CI/CD pipelines, evaluation datasets, and data access standards.
- Align engineering delivery with product strategy, risk management, organizational standards, and cross-functional priorities.
Requirements
- Experience managing an AI Product Development Life Cycle and directing agentic AI tools across planning and delivery.
- Proven people management and technical leadership experience in fast-paced agile environments.
- Strong object-oriented design and programming skills with deep expertise in .NET and C#.
- Experience with modern frontend frameworks such as Angular, React, or Vue.
- Hands-on expertise with relational databases, SQL, API development, ETL processes, and enterprise CI/CD pipelines.
- Applied understanding of ethical AI, including data privacy, explainability, transparency, and bias mitigation.
Nice to have
- Experience architecting complex enterprise solutions and implementing agentic RAG or context engineering patterns.
- Experience modernizing legacy systems with scalable multi-agent workflows.
Culture & Benefits
- Work on technology intended to improve productivity, safety, and sustainability across essential industries.
- Collaborative environment focused on belonging, innovation, growth, and practical execution.
- Medical, dental, vision, life, disability, time off, and retirement plans.
- Additional benefits may include tax savings plans, paid parental leave, and an employee stock purchase plan.
- Bonus eligible; not commission eligible.
Hiring process
- Submit an online application through the posting.
- Applications are accepted on an ongoing basis until the position is filled.
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