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Entry Level Ai Architect Jobs (NOW HIRING)

Wnc

Entry-Level Engineer Intern Program

Irvine, CA

$18 - $23.25/hr

As part of our Entry-Level Engineer Intern Program, you will gain hands-on experience working with ... Education Bachelor Work Experience Language Skills AI Architecture, AI Architecture, AI Concepts ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

540

Associate Solutions Architect

Arlington, VA · Remote

$72.50 - $95.50/hr

This is an entry-level opportunity for a recent graduate or early-career professional who wants to ... Exposure to AI/ML concepts or LLM-based tools BENEFITS & PERKS * Flexible PTO + all Federal ...

IBM

$69.25 - $91.25/hr

Helping define customers' Agentic AI use cases * Helping assess customers Agentic AI application ... Job Title Solution Architect Intern - Entry Level Sales Program 2027 Date posted 14-Aug-2026 Job ID ...

New

Bedrosians

Marketing Specialist - AI

Tustin, CA

This is an entry-level position designed for someone who is eager to learn about AI image ... Qualifications * Strong interest in AI, photography, design, architecture, interior design ...

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Entry Level Ai Architect information

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$46.5K

$128.8K

$201.5K

How much do entry level ai architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level 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 is an entry level AI architect?

An Entry Level AI Architect is a professional who assists in designing, developing, and implementing artificial intelligence solutions within an organization. They typically work under the supervision of senior AI architects and collaborate with data scientists, engineers, and other IT professionals. Their responsibilities may include helping to create AI models, building data pipelines, and ensuring AI systems align with business goals. Entry level AI architects often focus on learning industry standards, best practices, and gaining hands-on experience with AI tools and platforms. This role is a stepping stone to more advanced AI architecture positions as professionals gain experience and expertise.

What are some common challenges faced by entry level AI architects when transitioning from academic projects to real-world enterprise environments?

Entry-level AI Architects often find the shift from academic settings to enterprise environments challenging due to differences in scale, complexity, and stakeholder expectations. In real-world projects, data is often messy, requirements can change rapidly, and solutions must integrate seamlessly with existing systems. Collaboration with cross-functional teams, such as data engineers, software developers, and business analysts, is key. Additionally, balancing innovation with practical constraints—like computing resources, security, and compliance—requires adaptability and strong communication skills.

What are the key skills and qualifications needed to thrive as an entry level AI architect, and why are they important?

To thrive as an Entry Level AI Architect, you need a solid background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree or coursework. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is usually required. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with engineers and stakeholders. These skills ensure you can design and implement AI solutions that meet business needs and integrate smoothly with existing systems.

What is the difference between Entry Level Ai Architect vs Data Scientist?

AspectEntry Level Ai ArchitectData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certifications (e.g., AI certifications)Bachelor's or higher in CS, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentDesigning AI models, developing algorithms, working with AI frameworksAnalyzing data, building predictive models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Entry Level Ai Architects focus on designing and developing AI systems, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in primary responsibilities and skill emphasis.

How do I become an entry level AI architect?

To become an entry-level AI architect, you should have a strong foundation in computer science, programming skills in languages like Python, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Earning a bachelor's degree in a related field and gaining experience through internships or projects can help develop relevant skills for designing AI systems.

How much do entry-level AI architects make?

Entry-level AI architects typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Starting salaries may increase with skills in machine learning frameworks, programming languages, and cloud platforms.
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Entry Level Ai Architect jobs near you
Infographic showing various Entry Level 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 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

AI Automation Engineer- Project-Based Independent Contractor 1099

Caplock Security LLC

Washington, DC • Remote

$38 - $69/hr

Part-time

Posted 16 days ago

Job description

AI Automation Engineer
Caplock Security | Remote-U.S. | 1099

Do you have what it takes to build the systems that help us win the mission?
Every proposal Caplock submits runs on people doing repetitive work that technology should be doing for them. We're looking for someone early in their career who's ready to dig in and build the AI and automation tools that make our Proposal and Business Development team faster, sharper, and more competitive on every pursuit.
About the Role

Caplock Security is seeking an entry-level AI Automation Engineer to help design and implement AI-driven tools and automated workflows across our Proposal and Business Development function. This is a project-based contract opportunity—not a full-time or part-time employee position. This is a great fit for someone recently out of school with a strong technical foundation and genuine curiosity about AI and automation — you don't need years of experience, you need the drive to learn our proposal process, spot what's worth automating, and build real solutions with guidance from the team. Over time, you'll grow into owning more of this function independently as you build federal proposal domain knowledge alongside your technical skills.
What You'll Do

  • Help design, build, and maintain AI-powered tools and automated workflows that support the proposal lifecycle, including RFP/RFI/RFQ analysis, compliance matrix generation, and past performance and resume retrieval
  • Support the evaluation and implementation of AI solutions (including LLM-based tools like Claude) to accelerate proposal drafting, content reuse, and knowledge base search across Proposal and Business Development teams
  • Build integrations and automations connecting existing platforms — SharePoint, Notion, CRM/pipeline tools — to reduce manual data entry and duplicate work
  • Work closely with Proposal and Business Development team and leadership to learn the proposal process, identify high-friction tasks, and help translate them into automation or AI-assisted workflows
  • Help maintain and improve a structured proposal content library and knowledge base architecture that AI tools can reliably draw from
  • Test and document new tools under guidance to ensure outputs are accurate, compliant with Section L/M requirements, and safe for use in live pursuits
  • Support Proposal and Business Development staff in adopting new AI and automation tools, including basic troubleshooting
  • Stay current on the AI/automation landscape and bring forward new tools or techniques worth exploring
  • Learn and apply company data security and CMMC-aligned practices, particularly where proposal content includes sensitive or controlled information
Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (recent graduates encouraged to apply)
  • Coursework or project experience with at least one programming or scripting language (Python preferred)
  • Some exposure to AI/ML concepts, LLM tools (e.g., Claude, OpenAI), or automation platforms through coursework, internships, or personal projects
  • Strong problem-solving skills and eagerness to learn new tools, processes, and a new industry (federal contracting)
  • Proficiency with Microsoft 365 (SharePoint, Word, Excel, Teams)
  • Must pass a background check and drug screening
  • U.S. citizenship required (or ability to obtain, depending on contract requirements)
Contract Details

  • Engagement type: 1099 independent contractor (not a W-2 employee); no benefits eligibility
  • Scope: defined, project-based build phase focused on delivering working AI/automation tools and documentation
  • Contractor is responsible for their own tax withholding, equipment, and work schedule within agreed project milestones
  • Potential for future project-based engagements depending on business need, but this is not structured as ongoing employment
Preferred Qualifications

  • Internship, co-op, or academic project experience involving automation, AI/ML, or workflow tools
  • Familiarity with automation platforms (e.g., Power Automate, Zapier) or API integrations
  • Exposure to federal contracting, proposal development, or business development through coursework or internship
  • Familiarity with Notion or SharePoint document/knowledge base structures
Key Skills

  • Genuine curiosity about AI and automation
  • Willingness to ask questions, take feedback, and grow into unfamiliar territory (federal proposals) quickly
  • Clear communicator who can explain technical ideas to non-technical Proposal and Business Development staff
  • Detail-oriented, with an eye toward why accuracy and compliance matter more in federal proposals than in most environments
  • Self-starter mindset