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

Intel

Sr. AI Software Engineer - Agent Harness

Folsom, CA · On-site

$131K - $172K/yr

We believe transformative AI should have a positive impact on people-powerful in capability, yet ... Strong command of Python, TypeScript, Go, Rust, C++ * Expertise with async, concurrency, and ...

Intel

Sr. Security Architect

Folsom, CA

This role defines howmodern AI techniques are applied to securitysystemsacross firmware ... Python) . Preferred Qualifications * Experience definingSoC, IP, or platform architecture ...

Williams-Sonoma, Inc.

Sr Systems Engineer

Rocklin, CA · On-site

$109K - $149K/yr

About the Role As Senior Linux Platform Engineer, you will be responsible for the design ... Python, and other shell-based tooling. * Demonstrated interest in responsibly using AI tools to ...

CRETELLIGENT

Senior Salesforce Engineer

Gold River, CA · On-site

$133K - $163K/yr

How We Work We're an AI-forward team. AI coding assistants such as Claude Code, Copilot, and ... Familiarity with scripting, such as Python, for data or integration work * Experience in commercial ...

CREtelligent

Senior Salesforce Engineer

Gold River, CA · On-site

$120K - $140K/yr

How We Work We're an AI-forward team. AI coding assistants such as Claude Code, Copilot, and ... Familiarity with scripting, such as Python, for data or integration work * Experience in commercial ...

Deloitte

FP&A Advise Senior Consultant

Sacramento, CA · On-site

$124K/yr

By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate ... Python, or Alteryx based data prep/automation Ability to build and sustain professional ...

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Showing results 21-40

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

Senior Python Ai information

See Carmichael, CA salary details

$59.8K

$154.3K

$211.9K

How much do senior python ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior python ai in Carmichael, CA is $154,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $177,700.00 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 cities near Carmichael, CA are hiring for Senior Python Ai jobs?

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

Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Carmichael, 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 $154,293 per year, or $74.2 per hour.

Senior Software Engineering Manager - KV Cache Platform

Ddn

Sacramento, CA • On-site

$190 - $260/hr

Other

Posted 17 days ago

Job description

DDN is seeking a Senior Software Engineering Manager to lead the engineering organization responsible for our KV Cache Platform—a distributed memory and storage platform that accelerates large-scale LLM inference across GPU clusters.

In this role, you will lead geographically distributed engineering teams responsible for building highly scalable, low-latency distributed systems that power AI inference. You will define the technical vision and execution strategy for the platform while partnering closely with Product Management, Sales, Customer Engineering, NVIDIA, and executive leadership to deliver innovative AI infrastructure that meets customer needs and supports DDN's long-term product strategy.

This is a highly visible leadership role with responsibility for engineering execution, customer success, roadmap delivery, and building a world-class engineering organization.

Responsibilities

  • Lead, mentor, and grow a geographically distributed team of software engineers and technical leaders, fostering a culture of technical excellence, innovation, ownership, and collaboration.

  • Define and execute the technical strategy and roadmap for the KV Cache Platform, ensuring scalability, reliability, security, and operational excellence.

  • Drive the architecture, development, and delivery of distributed systems supporting AI inference, GPU memory optimization, distributed caching, RDMA networking, GPUDirect Storage, NVIDIA BlueField DPUs, and emerging AI infrastructure technologies.

  • Partner closely with Product Management, Sales, Customer Engineering, NVIDIA, and strategic technology partners to prioritize customer requirements, drive proof‑of‑concepts (POCs), influence product direction, and successfully deliver customer deployments.

  • Own day‑to‑day engineering execution, including feature development, release planning, bug triage, production issues, customer escalations, and cross‑functional execution to ensure timely, high‑quality software delivery.

  • Establish engineering best practices for software quality, observability, automation, performance, testing, and production readiness.

  • Collaborate across engineering, infrastructure, and hardware teams to deliver scalable, production‑ready AI infrastructure while developing future engineering leaders and driving continuous improvement.

Qualifications Required

  • 15+ years of experience building distributed systems, cloud infrastructure, storage platforms, or AI infrastructure software.

  • 7+ years leading high‑performing software engineering organizations, including geographically distributed teams.

  • Proven experience delivering large‑scale distributed infrastructure products from architecture through production deployment.

  • Strong background in distributed systems, Linux, networking, performance engineering, and cloud‑native architectures.

  • Hands‑on programming experience with Go and Python; experience with C/C++ is a plus.

  • Demonstrated ability to lead cross‑functional initiatives and influence technical direction across multiple organizations.

  • Experience building AI infrastructure, LLM serving platforms, distributed caching systems, or high‑performance storage solutions.

  • Experience with technologies such as NVIDIA Dynamo, TensorRT‑LLM, Triton, RDMA, GPUDirect Storage, BlueField DPUs, Kubernetes, or related AI infrastructure.

  • Background in HPC, distributed storage, networking, or enterprise infrastructure software.

  • Experience working directly with strategic customers, technology partners, OEMs, or hyperscalers to deliver enterprise AI solutions.

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