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IT - Technology Architect Artificial Intelligence Artificial Intel

Company:
Burgeon IT Services
Location:
United States
Posted:
June 02, 2026
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Description:

Job Title: IT - Technology Architect Artificial Intelligence Artificial Intelligence - ALL -- W2

Work Location: Cupertino, CA 95014

Technical Hiring Criteria (Must Haves)

• Top 3 Required skills: Artificial Intelligence, Program Management, Platform Engineer

• Years of experience in each of the must-have skills: 7+ Years

Job Description:

AI-Based Engineering Program Manager (EPM)

Lead as EPM DRI for a high-impact Sales & Trends migration program, driving cross-functional execution across engineering, data science, and analytics teams

Manage AI/ML-driven data science and customer-facing analytics programs, ensuring scalable, reliable, and high-quality delivery

Drive execution rigor through roadmaps, status reporting, QBRs, and executive communications

Partner across teams to navigate complex, fast-paced, and ambiguous environments while aligning dependencies and stakeholders

Apply strong technical understanding of data, analytics, and AI/ML systems to guide decisions, identify risks, and ensure program success

Bring a data-first mindset—understanding data meaning, transformations, and impact on metrics, analytics, and AI model outcomes

Minimum Qualification -

> 8+ years of software development or machine learning experience.

> M.S. or PhD in computer science, machine learning, or a related field or equivalent p ractical experience.

> 4+ years of experience in a technical leadership role.

> Strong programming skills in Python and applied experience with a range of LLMs.

> Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).

> Hands-on experience developing, deploying, and operating AI agents in production.

> Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.

Preferred Qualification -

A portfolio of deployed agentic systems that have delivered significant, measurable impact.

Experience in evaluation frameworks for AI agents.

Proven expertise in optimizing AI agents for latency, scalability, and cost.

A track record of thought leadership or contributions to the field of agentic AI.

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