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Ai Santa Jobs (NOW HIRING)

SANTA CLARA, CA, 4 DAYS PER WEEK ONSITE PREFERRED * We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing ...

Lead AI Engineer

Santa Clara, CA · On-site

$119K - $157K/yr

Lead AI Engineer Location-Santa Clara, CA(Onsite Mon to Fri) Lead AI Engineer to architect, lead, and deliver production-grade Agentic AI solutions for enterprise use. The individual will drive ...

ML/AI Engineers Location: CA/Santa Clara (mostly remote with occasional meetings in the office) locals only. Mandate Skills: Primary Technologies: Python (Advanced), Machine Learning frameworks ...

They are seeking AI-focused Software Engineers who can design and implement AI-powered features and ... Founded in 2024, the company is headquartered in Santa Clara, USA, with a team of 51-200 employees.

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Ai Santa information

See salary details

$71.5K

$112K

$156.5K

How much do ai santa jobs pay per year?

As of Jul 15, 2026, the average yearly pay for ai santa in the United States is $112,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Santa vs Ai Developer?

AspectAi SantaAi Developer
Required CredentialsTypically no formal certifications, but knowledge of AI concepts helpfulOften requires degrees or certifications in AI, machine learning, or computer science
Work EnvironmentCustomer-facing, seasonal, retail or entertainment settingsOffice, research labs, or tech companies, focused on development
Industry UsagePrimarily in retail, entertainment, or holiday eventsTechnology, software development, AI research
Common Search/ComparisonYesNo

Ai Santa and Ai Developer roles differ mainly in credentials, work environment, and industry. Ai Santa is a seasonal, customer-facing role often found in retail or entertainment, with minimal formal requirements. In contrast, Ai Developers work in tech environments, requiring specialized education and focusing on creating AI solutions. While both involve AI, their job functions and settings are distinct.

How much do professional Santas get paid?

Professional Santas typically earn between $50 and $150 per hour, with some seasonal performers making $1,000 or more during peak holiday periods. Pay varies based on experience, location, and event type, and many Santas work part-time or on a freelance basis. Additional tips from clients can also supplement income.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles in tech companies. These roles often require advanced skills in data science, programming, and experience with AI tools and frameworks, and may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and sometimes stock options or bonuses.

What's the easiest AI job to get?

Entry-level AI roles such as AI data labeler or annotation specialist are among the easiest AI jobs to obtain, often requiring basic understanding of data and labeling tools. These positions typically need minimal formal education but benefit from knowledge of machine learning concepts and attention to detail.

Which 3 jobs will survive AI?

AI Santa is a role that involves creative and interpersonal skills, such as storytelling, customer engagement, and holiday event planning. Jobs that require emotional intelligence, complex problem-solving, and human interaction—like healthcare professionals, educators, and skilled tradespeople—are less likely to be fully replaced by AI. These roles often involve tasks that are difficult for AI to replicate, ensuring their longevity in the workforce.
More about Ai Santa jobs
What cities are hiring for Ai Santa jobs? Cities with the most Ai Santa job openings:
What states have the most Ai Santa jobs? States with the most job openings for Ai Santa jobs include:

AI Engineer

Kanak Elite Services Inc

Santa Clara, CA • On-site

Contractor

Re-posted yesterday


Job description

Hello There,

Wish you a Happy Tuesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  


ROLE : GENDESIGN / INVERSE DESIGN AI ENGINEER

LOCATION: SANTA CLARA, CA, 4 DAYS PER WEEK ONSITE PREFERRED

  • We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing, developing, and optimizing generative AI models and workflows for applications such as content creation, product design, and intelligent automation.
  • Develop forward surrogate models for CVD/ALD/etch chambers mapping geometry, gas chemistry, flow, temperature, and power to film-uniformity, step-coverage, particle behavior, and thermal outcomes.
  • Implement inverse-design workflows where target performance specifications generate feasible chamber geometries, showerhead/baffle designs, and process conditions via generative or adjoint/topology-optimization methods.
  • Build bi-directional models that infer optimal process parameters for a given geometry and recommend geometry modifications when process latitude is insufficient.
  • Create high-fidelity digital twins combining physics-based solvers (CFD, plasma, heat transfer) with learned surrogate components for rapid design-space exploration.
  • Develop robust multi-objective optimization and uncertainty-quantification workflows to ensure AI-generated designs are manufacturable, robust to variation, and compatible with downstream yield requirements.

Required Skills & Qualifications

Education: Master’s or Ph.D. in Materials Science, Computational Engineering, AI/ML, or related field.

Technical Expertise:

  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Experience with generative AI (LLMs, diffusion models, graph-based models).
  • Knowledge of computational materials methods (DFT, MD, phase-field modeling).

Additional Skills:

  • Familiarity with MLOps, HPC environments, and cloud deployment.
  • Understanding of thermodynamics, crystallography, and mechanical properties of materials.