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Part Time Ai Architect Jobs (NOW HIRING)

Inform the candidate that they must not have any other part-time or full-time employment while ... Must Have Technical/Functional Skills: • Proven experience as an AI Architect defining enterprise ...

New

AI Solutions Architect

Reston, VA · On-site

$140K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Telework Type: Part-Time Telework * Work Location: Reston, VA, Various Work Locations USA * Salary ... AI/ML platforms. The role provides architectural leadership across the full solution lifecycle ...

AI Solutions Architect

Reston, VA · On-site +1

$140K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Telework Type: Part-Time Telework * Work Location: Reston, VA, Various Work Locations USA * Salary ... AI/ML platforms. The role provides architectural leadership across the full solution lifecycle ...

... reliable AI solutions for architectural applications. This is a flexible, fully remote, part-time opportunity requiring approximately 10 hours per week , with the potential for long-term ...

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work closely with data scientists, engineers, enterprise architects, and business ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work closely with data scientists, engineers, enterprise architects, and business ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work closely with data scientists, engineers, enterprise architects, and business ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California Ava, Suite 210, Sunnyvale, CA 94086 Responsible for conducting undirected technology development and ...

Solution Architect

$64.50 - $85/hr

This role will play a key part in driving digital transformation by integrating AI-enabled ... part-time work, working outside normal 9-5 business hours or working remotely. We also offer a ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software ... Draft and edit technical documentation, architecture documents, RFCs, design specifications, and ...

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Showing results 1-20

Part Time Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do part time ai architect jobs pay per year?

As of Aug 16, 2026, the average yearly pay for part time ai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a part time AI architect?

To thrive as a Part Time AI Architect, you need advanced knowledge of machine learning, deep learning frameworks, and a background in computer science or a related field, often evidenced by relevant degrees or certifications. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, Azure, GCP), and experience with data engineering pipelines are typically required. Strong problem-solving abilities, collaboration, and effective communication help you translate business needs into technical AI solutions. These skills ensure you can design scalable, impactful AI systems while working efficiently within limited hours and cross-functional teams.

What does a part time AI architect do?

A Part Time AI Architect is responsible for designing and overseeing artificial intelligence solutions for organizations, but on a part-time basis. They create system architectures, select appropriate technologies, and guide teams in implementing AI models and systems. Their role often includes evaluating project requirements, ensuring best practices in AI development, and integrating AI with existing business processes. Working part time allows them to focus on specific projects or provide expert guidance without a full-time commitment.

How do part time AI architects typically collaborate with full time team members on complex projects?

Part-time AI Architects often work closely with full-time engineers, data scientists, and project managers by participating in regular sprint meetings, providing architectural guidance, and reviewing code or model designs asynchronously. Clear communication and documentation are essential, as part-time team members may not always be available during standard hours. Many organizations rely on collaborative tools such as Slack, Jira, and Confluence to ensure seamless knowledge sharing and project continuity, enabling part-time architects to contribute effectively without disrupting workflows.

What is the difference between Part Time Ai Architect vs Part Time Data Scientist?

AspectPart Time Ai ArchitectPart Time Data Scientist
Required CredentialsDegree in Computer Science, AI, or related field; certifications in AI/MLDegree in Data Science, Statistics, or related field; certifications in Data Analysis
Work EnvironmentDesigning AI models, collaborating with developers, focusing on architectureAnalyzing data, building models, interpreting results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, e-commerce, research institutions

Part Time Ai Architects focus on designing and implementing AI systems, while Part Time Data Scientists analyze data to extract insights. Both roles require technical skills and certifications but differ in their core responsibilities and work environments.

More about Part Time Ai Architect jobs

What are the most commonly searched types of Ai Architect jobs?

The most popular types of Ai Architect jobs are:

What states have the most Part Time Ai Architect jobs?

States with the most job openings for Part Time Ai Architect jobs include:

Infographic showing various Part Time Ai Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Java AI Architect

Conflux Systems

Texarkana, TX • On-site

$70/hr

Full-time, Part-time

Posted 2 days ago

New


Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

  • Client Name: Digital Practice - Internal Customer
  • Posman ID: POSMAN_127590
  • Position ID: 30390692
  • Job Posting ID: ATGTJP00102507
  • Role/Skills: Java EE, React JS, MSGithub Copilot
  • Rate: $70/hr.
  • Location: Remote
  • Duration: 6 months
  • Job Description: See below:

Must Have Technical/Functional Skills:
• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
• Hands-on experience designing/building agent-based approaches and autonomous workflows.
• Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.
• Strong Python development experience and ability to guide teams with reference implementations.
• Experience with RAG, vector databases, and cloud deployments.
• Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics
Preferred / Nice to Have
• Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models.
• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.
• Knowledge of AI governance requirements and productionization practices.
Roles & Responsibilities
1) Architecture & Strategy (AI / Agentic AI)
• Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.
2) Autonomous Agent Design & Orchestration (Copilot-led)
• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
• Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking
• Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
• Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).
3) Prompt Engineering Excellence
• Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
• Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.
4) RAG + Model/Tool Orchestration (Python-led)
• Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
• Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.