Job IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL -- W2
Jobs > United States Of America > All the skills in JD are must > IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL -- W2

IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL -- W2

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Job Poster : Burgeon IT Services

Skills:All the skills in JD are must       |  Location: United States Of America

Views:32

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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