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Part Time Ai Coding Jobs in Washington (NOW HIRING)

Bechtel

AI Solutions Engineer

Reston, VA · On-site

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Establish and enforce AI coding standards and development best practices across the AI programme, ...

Bechtel

AI Solutions Engineer

Reston, VA

Telework Type: Part-Time Telework * Work Location: Reston, VA * Salary Range: 123,400 - 178,500 ... Establish and enforce AI coding standards and development best practices across the AI programme, ...

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Ability to follow code review practices, document work, and maintain clean and reusable code ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with AI-assisted software development tools and practices such as code copilots ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Bethesda, MD · On-site

$99K - $225K/yr

Experience integrating coding agents such as Cursor or Windsurf, into an efficient development ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Ai Coding information

What is a part time AI coding job?

A Part Time AI Coding job involves working with artificial intelligence technologies, such as machine learning, data analysis, and programming, on a part-time basis. These roles typically require knowledge of programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and the ability to work on projects related to data processing or model development. Part-time AI coding positions offer flexible hours and may involve remote work, making them suitable for students or professionals seeking additional experience in AI. Responsibilities can range from writing code for AI applications to assisting in research or building prototypes. The demand for AI coding skills is growing, making these roles valuable for gaining experience in a rapidly evolving field.

What skills and qualifications are needed for part time AI coding?

To thrive as a Part-Time AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and relevant experience or coursework in computer science or data science. Familiarity with AI development frameworks such as TensorFlow, PyTorch, and version control systems like Git is typically required. Critical thinking, problem-solving, and effective communication help you adapt quickly and collaborate with remote or cross-functional teams. These skills ensure you can efficiently contribute to AI projects, deliver high-quality code, and keep up with the rapid pace of advancements in the field.

What are common challenges faced by part time AI coding professionals, and how can they be managed?

Part-time AI coding professionals often face challenges such as balancing project deadlines with limited working hours and staying updated with rapid advancements in AI technologies. Managing time effectively and setting clear expectations with employers or clients can help address these issues. Additionally, proactively engaging in continuous learning and leveraging online resources can ensure you remain current in the field. Regular communication and collaboration with team members, even in a part-time capacity, is also essential for project success.

What is the difference between Part Time Ai Coding vs Part Time Data Analyst?

AspectPart Time Ai CodingPart Time Data Analyst
Required CredentialsBasic programming skills, understanding of AI conceptsStatistical knowledge, data analysis skills, often some programming
Work EnvironmentTech companies, startups, remote freelance projectsBusiness environments, research firms, remote or onsite
Industry UsageAI development, machine learning projectsData interpretation, reporting, business insights
Search & Comparison IntentFocus on AI-specific tasks, coding skillsFocus on data analysis, reporting skills

Part Time Ai Coding involves working on AI and machine learning projects, requiring programming and AI knowledge, often in tech environments. Part Time Data Analyst focuses on interpreting data and generating reports, with skills in statistics and data tools. While both roles may be remote and part-time, they serve different industry needs and require distinct skill sets.

What are the most commonly searched types of Ai Coding jobs in Washington?

The most popular types of Ai Coding jobs in Washington are:

What are popular job titles related to Part Time Ai Coding jobs in Washington?

For Part Time Ai Coding jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Part Time Ai Coding jobs in Washington look for?

The top searched job categories for Part Time Ai Coding jobs in Washington are:

What cities in Washington are hiring for Part Time Ai Coding jobs?

Cities in Washington with the most Part Time Ai Coding job openings:

Part Time Ai Coding jobs near you
Infographic showing various Part Time Ai Coding job openings in Washington as of June 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

AI Solutions Engineer

Reston, VA • On-site

Bechtel

7.6

Company rating: 7.6 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

286th of 450 rated engineering

Great coworkers

People enjoy working here

Good employer

Learn more about Bechtelexternal

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Requisition ID: 297512
  • Relocation Authorized: None
  • Telework Type: Part-Time Telework
  • Work Location: Reston, VA
  • Salary Range: 123,400 - 178,500 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)

Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.
Job Summary:
The AI Program is a strategic cross-business initiative delivering AI capabilities at scale across Bechtel Infrastructure as part of the wider Execution Transformation Initiative. The AI Program relies on rigorous technical assurance to ensure that AI models, agents, and coding solutions deployed across Bechtel meet quality, safety, and accuracy standards. As AI capabilities scale from pilots to production, structured validation frameworks, coding standards, and Human-in-the-Loop (HITL) review processes are essential to maintaining trust in AI-driven outputs.
The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and AI agents, and maintaining robust testing frameworks that safeguard the integrity of AI solutions across the organisation. This role reports to the Data Solutions Architect and works in close collaboration with the AI Portfolio & Governance Manager and functional AI leads.
"This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership" #LI-RM1
Major Responsibilities:
  • Establish and enforce AI coding standards and development best practices across the AI programme, ensuring consistent quality and maintainability of AI solutions.
  • Validate machine learning models and AI agents against defined performance, accuracy, and safety criteria prior to deployment.
  • Serve as the Human-in-the-Loop (HITL) reviewer, providing structured oversight and approval authority for AI-generated outputs. Conduct solution assurance reviews prior to the deployment or broader rollout of AI capabilities across business units.
  • Design, implement, and maintain testing frameworks and evaluation pipelines for AI solutions including LLM-based applications and agentic workflows.
  • Collaborate with Data Solutions Architect to ensure AI solutions align with platform architecture, data governance standards, and security requirements.
  • Identify and mitigate risks related to model performance, hallucination, bias, and data quality, proposing and implementing corrective actions.
  • Maintain documentation of model performance benchmarks, test results, and validation outcomes to support programme governance.
  • Support the integration of AI agents and large language model (LLM)-based tools into project delivery workflows.
  • Contribute to the development of technical AI governance policies, responsible AI frameworks, and operational guardrails for the AI Program.
  • Research emerging AI and machine learning technologies, including developments in large language models, AI agents, evaluation techniques, and model deployment patterns, to ensure the AI Program adopts appropriate, current, and technically robust solutions.
  • Provide technical training, guidance, and coaching to the AI Program Team to build internal capability, strengthen technical expertise, and promote consistent application of AI engineering, testing, and assurance practices.

Education and Experience Requirements:
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.
  • 7+ years or more of experience in AI/ML engineering or data science roles.

Required Knowledge and Skills:
  • Proficiency in Python and experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or Hugging Face).
  • Demonstrated experience in AI model validation, testing, and quality assurance, including evaluation of LLM or generative AI outputs.
  • Experience designing AI evaluation frameworks, test cases, benchmarks, or quality gates for machine learning, generative AI, or LLM-based solutions. Preferably hands-on with the tooling provided in Databricks
  • Understanding of large language models (LLMs), AI agents, prompt engineering, and agentic frameworks.
  • Strong analytical and problem-solving skills with high attention to detail and a rigorous approach to quality.
  • Ability to communicate technical findings and assurance outcomes clearly to both technical and non-technical stakeholders.
  • Experience preparing clear technical documentation, validation reports, model performance summaries, or governance evidence for AI/ML solutions.
    Preferred Qualifications
  • Experience with MLOps platforms and model deployment pipelines (e.g., Azure Machine Learning, MLflow, or equivalent).
  • Familiarity with responsible AI frameworks, bias detection methodologies, and model governance practices.
  • Experience with agentic AI platforms such as Microsoft Copilot Studio, AutoGen, LangChain, or similar frameworks.
  • Hands-on experience with Azure cloud services and DevOps practices including CI/CD pipelines and version control (Git).
  • Experience providing technical guidance, coaching, or training to engineering, data, or AI delivery teams.
  • Knowledge of EPC industry workflows, engineering data standards, and project delivery environments.
  • Experience with RAG (Retrieval-Augmented Generation) architectures and enterprise AI deployment patterns.
  • Demonstrated commitment to staying current with emerging AI, machine learning, LLM, and agentic AI technologies and translating relevant developments into practical implementation guidance.

Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards
Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components
Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

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