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

Alignerr

Data Platform Engineer (Python)

Seattle, WA · Remote

... AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on. This ...

Arkhya Tech

Senior AI/ML Consultant

Seattle, WA

Senior AI/ML Consultant (Contract | Seattle, WA) Duration: 6 Months Contract We are seeking a ... Develop and deploy ML models using Python and frameworks such as TensorFlow, PyTorch, or scikit ...

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 ...

Microsoft AI

Senior Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

Job Summary : Microsoft AI is at the forefront of transforming digital advertising through ... or Python OR equivalent experience. • Ability to meet Microsoft, customer and/or government ...

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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 Jun 9, 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 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 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 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 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 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:
Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Seattle, WA as of June 2026, with employment types broken down into 2% As Needed, 63% Full Time, 29% Part Time, and 6% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $161,572 per year, or $77.7 per hour.

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 5 days ago

Job description

Senior Python Full-Stack Engineer - AI Data & Infrastructure
About the Role
What if your Python expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation models.
This is a fully remote, flexible contract role working on real production systems - not toy projects. If you're a seasoned Python engineer who thrives on high-impact, technically challenging work, this is where your skills belong.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
  • Identify and eliminate bottlenecks, edge cases, and reliability issues across production codebases
  • Collaborate closely with data, research, and engineering teams to support model training and evaluation infrastructure
  • Improve safety, performance, and maintainability of existing systems
  • Participate in synchronous design reviews and iterate on system architecture with expert colleagues
Who You Are
  • Native or fluent English speaker with strong written and verbal communication skills
  • Full-stack developer with a solid systems programming background
  • 5+ years of professional experience writing production-grade Python
  • Deep understanding of performance optimization and concurrency - asyncio, multiprocessing, threading - and type safety tools like Pydantic and mypy
  • Proven experience building robust backend services (FastAPI, Django, or similar) or scalable data pipelines
  • Able to commit 20-40 hours per week with reliability and professionalism
Nice to Have
  • Prior experience with data annotation platforms, data quality workflows, or evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems, developer tooling, or MLOps
Why Join Us
  • Work directly with leading AI research labs on systems that matter
  • Fully remote and flexible - structure your hours around your life
  • Freelance autonomy with the depth and consistency of meaningful, long-term technical work
  • Collaborate with a sharp, technically rigorous team on genuinely hard engineering problems
  • Potential for ongoing work and contract extension as projects scale

Apply