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Senior Python Ai Jobs in Fairfield, CA (NOW HIRING)

Innova Solutions, Inc

Python AI Engineer

San Francisco, CA · On-site

$75 - $80/hr

A client of Innova Solutions is immediately hiring for a Sr. Python AI Engineer Position type: Contract (12+ months) Location: Concord, CA Hybrid Onsite (3 days onsite, 2 days remote in a week) As a ...

Collabera LLC

Agentic AI/Python Engineer

Concord, CA · On-site

$70 - $80/hr

Agentic AI/Python Engineer Location: Concord, CA (3days in hybrid) Duration: 12+ Months Contract ... We are seeking a Senior Agentic AI Engineer to join a technology-focused team building and ...

Numos AI

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for ... Strong Python skills with frameworks like PyTorch or TensorFlow * Familiarity with AI agent ...

CodeRabbit

Senior Applied AI Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Strong programming skills in TypeScript and Python * AI Frameworks: Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb * Prompt ...

CodeRabbit

Senior Applied AI Engineer

San Francisco, CA · On-site

$180 - $260/hr

Strong programming skills in TypeScript and Python * AI Frameworks: Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb * Prompt ...

Mindlance

Python Developer

Concord, CA · On-site

$55.25 - $76/hr

ONLY W2(NO C2C/1099) Job title: Sr. Software Engineer Contract: 6 months (contingent, no guaranteed ... Familiarity with regulatory and compliance considerations in GenAI/AI model deployment * Strong ...

Nexxa.ai

Senior AI Architect

San Francisco, CA · On-site

Senior AI Architect Location: Sunnyvale / SF, CA (Hybrid) Level: Senior - Architect (based on ... in Python, with experience in production ML frameworks (e.g., PyTorch, JAX) * Ability to ...

h2o.ai

Senior AI Engineer

San Francisco, CA · On-site

$180 - $280/hr

... senior voice. * Design and build agentic AI systems and multi‑agent frameworks that automate ... Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow ...

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All JobsPython Ai JobsSenior Python Ai JobsSenior Python Ai Jobs in Fairfield, CA

Senior Python Ai information

See Fairfield, CA salary details

$56K

$144.5K

$198.4K

How much do senior python ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior python ai in Fairfield, CA is $144,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $166,400.00 per year, depending on experience, location, and employer.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are popular job titles related to Senior Python Ai jobs in Fairfield, CA?

For Senior Python Ai jobs in Fairfield, CA, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Fairfield, CA look for?

The top searched job categories for Senior Python Ai jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for Senior Python Ai jobs?

Cities near Fairfield, CA with the most Senior Python Ai job openings:

Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Fairfield, CA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $144,487 per year, or $69.5 per hour.

Sr Python AI Engineer/Architect : Full time

HARAMAIN SYSTEMS INC.

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 19 days ago

Job description

  • Preference for candidates in/near San Francisco, CA.
  • Visa Sponsorship not available

Role: Sr Python AI Engineer/Architect


Location: Mission District-SF, CA Onsite role


Full-Time Position


Technical Stack



  • TypeScript and Python are primary languages; experience with web stack and Chrome extensions beneficial.

  • Focus on enabling AI tools and infrastructure for rapid development.


Seniority



  • 5+ years of experience in platform engineering.


Work experience



  • Has shipped and maintained production platform infrastructure in a B2B SaaS environment -CI/CD, Kubernetes, containerization, cloud deployments, database migrations; has made painful mistakes and learned from them

  • Startup experience post-Series A; ideally has seen a company grow from Series A-B


You’re a great fit if you have:



  • Built and scaled complex infrastructure systems

  • Worked with Kubernetes, ETL pipelines, AWS/GCP/Cloudflare, CI/CD, and SOC 2 environments

  • Strong judgment across security, reliability, cost, and iteration-speed tradeoffs

  • Been operating at the edge of AI-first development for some time

  • Learned practical lessons from decades of enterprise-grade engineering patterns

  • Strong opinions on how old systems should be improved or replaced

  • High ownership and comfort working across many domains


What you'll do:



  • Build internal platforms and AI loops that increase company iteration speed

  • Strengthen security, compliance, and operational readiness

  • Improve CI/CD, testing, deployments, and developer environments

  • Evaluate and implement new tooling, storage, and compute systems

  • Enable non-technical staff to build and ship improvements safely

  • Enable technical teams to ship scalable, enterprise-ready systems faster

  • Resolve incidents and production fires with both immediate fixes and long-term solutions

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