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Entry Level Ai Architect Jobs (NOW HIRING)

The LaSalle Group

Staff Architect

Chicago, IL · On-site

$160K - $180K/yr

Support AI first development practices, including AI first development guardrails * Collaborate ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Lightcast

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping ...

Lightcast

Associate Solutions Architect - 1011

Moscow, ID

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping ...

Lightcast

Associate Solutions Architect - 1011

Moscow, ID

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping ...

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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 Jul 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI architects or machine learning executives, which offer compensation in that range due to their expertise, experience, and leadership responsibilities. Entry-level AI architect positions usually have lower salaries, but advanced roles involving strategic decision-making, complex model development, and cross-disciplinary skills can reach or exceed this figure in some organizations.

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.

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 AI architect?

To become an AI architect, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree in a related field. Gaining experience with AI frameworks like TensorFlow or PyTorch, developing skills in programming languages such as Python, and understanding system architecture are essential. Certifications in AI or cloud platforms can also enhance your qualifications for designing and implementing AI solutions.

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 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 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.

Can I get an AI job with no experience?

Entry level AI architect roles typically require some knowledge of programming, machine learning, and data analysis, but they may accept candidates with limited experience if they demonstrate strong foundational skills and relevant coursework or certifications. Gaining experience through online courses, projects, or internships can improve chances of securing such positions. Employers often look for a solid understanding of AI concepts and proficiency in tools like Python and TensorFlow, even at the entry level.
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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 June 2026, with employment types broken down into 33% Full Time, 54% Part Time, 10% Contract, and 3% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
AI Specialist

AI Specialist

Recording Industry Association of America

Washington, DC • Remote

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life

Posted 10 days ago

Job description

Role Overview

We are seeking an entry level AI Specialist to join our core AI team. The primary focus will be on analyzing AI models and architectures. You will also help evaluate model behaviors and conceptualize emerging AI technologies.

Key Responsibilities

  • Model Analysis & Evaluation: Study, benchmark, and evaluate diverse AI models (potentially including LLMs, diffusion models, and classic machine learning architectures) to understand their emergent behaviors, limitations, and failure modes.
  • Architectural Exploration: Research and experiment with novel model architectures, fine-tuning methodologies, and optimization techniques to improve model efficiency and alignment.
  • Theoretical Problem Solving: Apply core computer science and mathematical principles to diagnose complex model behaviors, data biases, and generalization challenges.
  • Cross-Functional Knowledge Sharing: Act as an internal subject matter expert on AI theory, translating complex academic research into actionable insights for product and engineering teams.

Qualifications & Skills

  • Education: Bachelor’s degree in computer science with a formal concentration, minor, or heavy coursework focus in Artificial Intelligence and/or Machine Learning
  • Theoretical Foundation: Deep conceptual understanding of core AI pillars, including deep learning, neural network architectures, and search algorithms.
  • Mathematical Proficiency: Strong grasp of linear algebra, calculus, probability, and statistics as they relate to machine learning theory and optimization.
  • Technical Skills: Proficiency in Python and familiarity with major AI/ML frameworks (such as PyTorch or TensorFlow). Experience reading and implementing concepts from academic AI research papers is a major plus.

Benefits Offered

  • Employees of RIAA are eligible for comprehensive healthcare benefits on date of hire or the first of the month following date of hire. These include medical, dental, and vision insurance coverage as well as life, and disability insurance.