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Senior Python Ai Jobs in Seattle, WA (NOW HIRING)

Blue Origin

Senior Software Development Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Software Development Engineer The Developer Platforms team builds and operates the tools and ... Go, JavaScript, and Python * AI/LLM tools (Claude, Codex, etc.) What makes our engineering team ...

Qaurs Techno Systems LLC

Senior AI Engineer

Bellevue, WA · On-site

$75K - $85K/yr

Position Summary We are seeking a highly experienced Senior AI Solutions Engineer to design ... Mandatory Skills : 8-10+ years backend/full-stack experience Expert in at least one - Python/ Java ...

ClifyX

Senior Engineer, AI Data Management

Seattle, WA · On-site

$120K - $163K/yr

ClifyX is a company focused on innovative technology solutions, and they are seeking a Senior ... Required : • Python • Machine Learning • Artificial Intelligence(AI) • NOSQL • DevOps ...

YO AI Labs

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Engineer - Remote

Seattle, WA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Funko

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Develop production-grade AI applications using Python, APIs, cloud-native services, and modern AI ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Funko

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Develop production-grade AI applications using Python, APIs, cloud-native services, and modern AI ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Funko

Sr. AI Engineer

Everett, WA · On-site

$115K - $158K/yr

Develop production-grade AI applications using Python, APIs, cloud-native services, and modern AI ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... Work closely with senior engineers, AI researchers, and hardware/software teams to integrate ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... Work closely with senior engineers, AI researchers, and hardware/software teams to integrate ...

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All JobsPython Ai JobsSenior Python Ai JobsSenior Python Ai Jobs in Seattle, WA

Senior Python Ai information

See Seattle, WA salary details

$62.6K

$161.6K

$221.9K

How much do senior python ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior python ai in Seattle, WA is $161,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,300.00 and $186,100.00 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 the most commonly searched types of Python Ai jobs in Seattle, WA?

The most popular types of Python Ai jobs in Seattle, WA are:

What are popular job titles related to Senior Python Ai jobs in Seattle, WA?

For Senior Python Ai jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Seattle, WA look for?

The top searched job categories for Senior Python Ai jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Senior Python Ai jobs?

Cities near Seattle, WA with the most Senior Python Ai job openings:

Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $161,572 per year, or $77.7 per hour.

Need: Senior Python Engineer: Snoqualmie, WA (Need Only Locals)

SPAR Information Systems LLC

Snoqualmie, WA • On-site

Contractor

Re-posted 27 days ago

Job description

Hello All, Hope you are doing great Please go through the job description and let me know your interest. Job Title: Senior Python Engineer Work Location: Snoqualmie, WA (Hybrid from Day 1) (Need Only Locals) Duration: Long Term Contract Key Responsibilities • Design, develop, and deploy Python-based ML solutions for large-scale data analysis. • Build ETL/data pipelines to process structured and unstructured datasets. • Perform exploratory data analysis (EDA), feature engineering, and model evaluation. • Collaborate with data scientists, analysts, and business teams to translate business problems into technical solutions. • Optimize models for scalability, performance, and accuracy. • Mentor junior engineers and review code for quality and best practices. Required Skills & Experience • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). • Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack – Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools. • Knowledge of cloud-based MLOps practices. • Strong SQL and data modelling skills. • Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have. • Knowledge of containerization (Docker, Kubernetes) is nice to have.
Thanks & Regards,
Satnam Singh
Email : Satnam.singh@sparinfosys.com