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Ai Implementation Jobs in California (NOW HIRING)

ICW Group

AI Architect

San Diego, CA · On-site

$67 - $88/hr

The AI Architect II role focuses on modernizing the company's technology platform by providing thought and technical leadership in AI and cloud strategies, while overseeing the implementation of AI ...

Midstream

Applied AI Solutions Architect

San Francisco, CA · On-site +1

$74.25 - $97.75/hr

Design enterprise solutions Develop solution architectures, AI implementation strategies, and phased deployment approaches that demonstrate how Midstream integrates within complex healthcare ...

New

Scanhealthplan

AI Staff Engineer

Long Beach, CA · On-site

LLM & Agentic AI Implementation * Develop and integrate AI capabilities using large language models, embeddings, prompt engineering context engineering, and agentic frameworks. * Build AI assistants ...

Qvest US

Senior Manager, Applied AI

Los Angeles, CA · On-site +1

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Lead project teams through all core project phases of Applied AI implementation, including project ...

ICW Group

AI Architect

San Diego, CA · On-site

$67 - $88/hr

... implement scalable cloud architectures on AWS, leveraging serverless technologies and design ... AI, agentic workflows, and intelligent automation. • Develop and maintain architecture ...

ICW Group

AI Architect

San Diego, CA · On-site

$67 - $88/hr

... implement scalable cloud architectures on AWS, leveraging serverless technologies and design ... AI, agentic workflows, and intelligent automation. • Develop and maintain architecture ...

ICW Group

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Design and implement scalable cloud architectures on AWS, leveraging serverless technologies and ... Evaluate emerging AI technologies and provide recommendations on adoption strategies, including ...

ICW Group

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Design and implement scalable cloud architectures on AWS, leveraging serverless technologies and ... Evaluate emerging AI technologies and provide recommendations on adoption strategies, including ...

Icwgroup

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Design and implement scalable cloud architectures on AWS, leveraging serverless technologies and ... Evaluate emerging AI technologies and provide recommendations on adoption strategies, including ...

Ammortal Inc

AI Solutions Lead

San Diego, CA · On-site +1

$100K - $125K/yr

You design, build, implement, and train everyone on AI systems across the company. You work on internal systems, infrastructure and the Chamber. Your work touches all departments and all business ...

Qvest US

Senior Consultant - Applied AI

Los Angeles, CA · On-site +1

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Who We're Seeking Qvest US is seeking an experienced Senior Consultant in Applied AI & Change ...

Icwgroup

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Design and implement scalable cloud architectures on AWS, leveraging serverless technologies and ... Evaluate emerging AI technologies and provide recommendations on adoption strategies, including ...

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Ai Implementation information

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
What are the most commonly searched types of Ai Implementation jobs in California? The most popular types of Ai Implementation jobs in California are:
What are popular job titles related to Ai Implementation jobs in California? For Ai Implementation jobs in California, the most frequently searched job titles are:
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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in California as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution.

Staff Technical Product Manager - Electronics AI & HPC Simulation

Synopsys, Inc.

Sunnyvale, CA • On-site

$180 - $240/hr

Other

Posted 3 days ago

New

Job description

About the Job

The preferred location of this role is Bay Area (CA).

You Are

A technically credible product leader with expertise in simulation, AI/ML, and HPC. You understand advanced electronics workflows and translate engineering needs into scalable product capabilities.

You build shared capabilities, AI‑assisted workflows, and HPC‑enabled solutions that span products and field use cases. You work closely with R&D to define technical direction, guide implementation, and solve complex workflow and system‑level challenges.

You are motivated by solving hard technical problems at scale, including simulation acceleration, intelligent automation, and interoperable platform integrations such as AEDT with NVIDIA Omniverse.

What You’ll Be Doing
  • Define core AI and HPC capabilities and reference implementations across HFSS, Icepak, and AEDT.
  • Prioritize AI use cases such as set‑up assistance, model generation, solver guidance, design exploration, and automation.
  • Support product and field teams with HPC solution patterns spanning distributed compute, GPU acceleration, orchestration, and cloud deployment.
  • Extend AEDT into broader third‑party ecosystems, through APIs, interoperable data models, and platform services.
  • Partner with R&D, UX, field teams, and customers to validate priorities and deliver measurable value.
Key Qualifications
  • Define requirements for AI, multiphysics, and scalable compute capabilities grounded in engineering use cases and feasibility.
  • Bachelor’s degree in engineering, computer science, physics, or a related technical field; advanced degree preferred.
  • Strong Python scripting skills, with the ability to automate engineering workflows, develop reusable tools, and work effectively with APIs.
  • Familiarity with HFSS, Icepak, Maxwell, AEDT, or comparable simulation environments.
  • Knowledge of AI‑assisted engineering workflows, intelligent automation, or engineering data platforms.
  • Strong understanding of electromagnetic, thermal, multiphysics, or electronics design workflows.
  • Experience with HPC deployment models including multicore, cluster, cloud, and GPU acceleration.
  • Understanding of APIs, interoperability, workflow integration, and external technology partnerships.
The Impact You Will Have

You will help shape the future of electronics and AI by driving how simulation evolves for the AI era. Through AI implementation, HPC, and platform integration across Ansys Electronics within Synopsys, you will influence the next generation of technologies powering semiconductors, electronics, intelligent systems, and AI infrastructure.

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Synopsys logo

About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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