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As of Jul 13, 2026, the average hourly pay for manager google artificial intelligence in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.
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Manager Google Artificial Intelligence jobs near you
IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

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

Spruce Infotech

Cupertino, CA • On-site

$65/hr

Other

Re-posted 9 days ago

Job description

Request-ID:120402-1- IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL
Client: Apple
Do you have a pre-identified candidate? New sourcing? Existing Subcon?- New sourcing
Max Hourly Pay Rate to the candidate?: $65 /Hr on W2
Do you have a preferred interview schedule?: Yes
Would you require the candidates to meet you for an in-person interview?: No
Is Skype/WebEx interview, OK?: Yes
Work Location with ZIP: Cupertino CA-95014
Is remote work an option?: No
If remote work, please indicate how many days are required to be in the office and remote: 3 days in a week required to be in the office
Chance to be perm?: Yes
Performance Expectations:
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
• Any Certifications required: No
Any additional information you would like to share about the project specs/nature of work: NA
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 practical 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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