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Python Ai Jobs in Washington (NOW HIRING)

Python AI Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

Python * Gen AI * SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area. Top 5 Technical Skills: * Python * Gen AI * SQL * AWS Data ...

Python/Gen AI Developer

Reston, VA · On-site

$52.25 - $72/hr

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out of the Washington DC/Reston area. Top 5 Technical Skills: * Python * Gen AI * SQL * AWS Data ...

Python Gen AI Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

Python * Gen AI * SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent

Python Developer - Gen AI, Sagemaker, AWS

Reston, VA · On-site

$52.25 - $72/hr

Python/AI Developer - Sagemaker Onsite - 2-3 days per week in Reston, VA Employment Type: FTE No C2C Technical Skills: * Python * Gen AI * SQL * AWS Data Services * LLM * ML * Sagemaker Experience ...

Design, build, and deploy explainable AI models using Python AI ecosystems, includingTorch, Scikit-learn, and LLM frameworks * Collaborate with cross-functional teams to integrate AI, DevSecOps, data ...

Strong experience with Python, AI frameworks, and data engineering tools. * Demonstrated leadership managing complex technical development teams. * Familiarity with federal AI governance frameworks ...

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Python Ai information

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How much do python ai jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python ai in Washington is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For a Python AI developer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist, such as AI research scientist, data scientist, and machine learning engineer. These jobs involve designing, interpreting, and improving AI systems, often requiring specialized knowledge, critical thinking, and domain expertise that are difficult for AI to fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What is a Python AI job?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What is the salary of AI with Python?

The salary for a Python AI developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Skilled professionals with expertise in machine learning, deep learning, and frameworks like TensorFlow or PyTorch tend to earn higher salaries.

What are the key skills and qualifications needed to thrive in the Python Ai position, and why are they important?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What are the typical daily responsibilities of a Python AI professional?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

Can you do AI with Python?

Python is widely used in AI development, including roles like Python AI engineer, because of its extensive libraries such as TensorFlow, PyTorch, and scikit-learn. It enables tasks like machine learning, deep learning, and data analysis, making it a popular choice for AI projects. Proficiency in Python programming and understanding of AI concepts are essential for such roles.
What are the most commonly searched types of Python Ai jobs in Washington? The most popular types of Python Ai jobs in Washington are:
What job categories do people searching Python Ai jobs in Washington look for? The top searched job categories for Python Ai jobs in Washington are:
Infographic showing various Python Ai job openings in Washington as of July 2026, with employment types broken down into 62% Full Time, 22% Part Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,100 per year, or $66.4 per hour.
Python AI Developer - ZL

Python AI Developer - ZL

SES

Washington, DC • On-site

$57 - $78.50/hr

Other

Posted 13 days ago


Job description

Job Description

Top 5 Technical Skills:

  1. Python
  2. Gen AI
  3. SQL
  4. AWS Data Services
  5. LLM
  6. ML
  7. Sagemaker
  8. Bedrock

Top 3 Soft Skills:

  1. Confidence in Communication skills for Teamwork and sharing
  2. Stand alone to get work done, Independent
  3. Flexibility

Company / Project Description / Business Driver

Enter Overview of client, project description and the business drivers

Job Description:
Experience:
10+ years overall in Software Engineering disciplines, preferably in the financial services industry
2-3 years of experience in AI engineering roles - ML experience in NTH
Strong programming skills in Python, SQL and experience with AWS.
Priority Order of Skills is AWS, Gen AI, Python, AI Code Generation, SQL
Key Responsibilities:
Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
Document workflows, models, and prompt strategies for internal knowledge sharing and compliance

Required Qualifications:
2 3 years of experience in data analysis or machine learning roles.
Proficiency in Python and SQL for data manipulation and analysis.
Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
Strong understanding of financial data, KPIs, and reporting standards.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience in the finance or fintech industry.
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
Exposure to data visualization tools (e.g., Power BI, Tableau).
Bachelor s degree in Computer Science, Data Science, Finance, or a related field.