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Ai Ml Architect Jobs (NOW HIRING)

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. * * Design and lead AI architecture for business use cases

CloudBCLabs

AI/ML Architect

Plano, TX · On-site

$61.25 - $78.75/hr

Role: AI/ML Architect Location: Reston, VA / Plano, TX (Hybrid) Duration: Long term Mode of interview: In- Person As an Applied AI/ML Architect, you will be responsible for leading architectural ...

Aptive

AI/ML Architect

$65.25 - $84/hr

Job Summary We are seeking an experienced AI/ML Architect to support the Department of Veterans Affairs (VA) in shaping the strategy, governance, and operational frameworks that guide enterprise-wide ...

Aptive

AI/ML Architect

$65.25 - $84/hr

Job Summary We are seeking an experienced AI/ML Architect to support the Department of Veterans Affairs (VA) in shaping the strategy, governance, and operational frameworks that guide enterprise-wide ...

DecisionPoint | Cortek

AI/ML Architect

$65.25 - $84/hr

The AI/ML Architect collaborates closely with data scientists, dashboard teams, engineering staff, cybersecurity analysts, and PMO leadership to translate mission needs into AI-driven prototypes and ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Job Title: AI/ML Architect with Databricks, Azure Location: Los Angeles CA or New York NY (Hybrid) Hire type: Contract Need 15+ years of experience resumes. Role Overview We are seeking an ...

Experis

AI/ML Architect

Pennington, NJ · On-site

As an AI/ML Architect, you will be part of the Digital Transformation Department supporting enterprise AI initiatives. The ideal candidate will demonstrate strong leadership, strategic thinking, and ...

Spark Tek Inc

AI/Ml Architect

San Jose, CA · On-site

Spark Tek Inc is a company focused on enhancing AI and ML capabilities, and they are seeking a Senior Architect for their AI/ML Center of Excellence. This role involves designing scalable ...

Palnar

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Proven experience as an AI/ML Architect with a focus on Python-based solutions. * Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * Experience with ...

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering. * You bring strong expertise in designing and building ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

AI/ML Architect with Databricks Location : Los Angeles CA (Hybrid) Role Overview We are seeking a skilled AI/ML Architect with hands-on experience in Databricks to join our team. The ideal candidate ...

GFT TECHNOLOGIES SE

NY · On-site

$74.59 - $110.39/hr

Strong background in solution architecture , with proven ability to design end-to-end systems integrating AI/ML components * Practical knowledge of AI technologies and frameworks (e.g., LLMs, NLP, ML ...

Vytwo

AI/ML Architect with Databricks , AWS

Prosper, TX · On-site

$150 - $200/hr

AI/ML Architect with Databricks, AWS Location: Los Angeles, CA (Hybrid) Hire type: FTE / CTH Role Overview We are seeking an experienced AI/ML Architect with deep hands‑on expertise in Databricks ...

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Ai Ml Architect information

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$46.5K

$128.8K

$201.5K

How much do ai ml architect jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai ml 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 AI ML architect?

AI/ML Architects are professionals who design, build, and oversee the implementation of artificial intelligence and machine learning systems within an organization. They are responsible for selecting appropriate technologies, developing scalable architectures, and ensuring that AI/ML solutions align with business goals. Their role often involves collaborating with data scientists, engineers, and stakeholders to translate requirements into robust, production-ready systems. In addition to technical expertise, AI/ML Architects often provide strategic guidance on best practices, data management, and model deployment.

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

To thrive as an AI/ML Architect, you need advanced knowledge of machine learning algorithms, data modeling, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly valuable. Strong problem-solving skills, effective communication, and the ability to lead cross-functional teams help set top candidates apart. These skills are crucial for designing scalable AI solutions that drive innovation and deliver business value.

What are some common challenges faced by AI ML architects when integrating machine learning solutions into existing business systems?

AI/ML Architects often encounter challenges such as ensuring data quality and availability, aligning ML models with business objectives, and integrating new solutions with legacy systems. Balancing model performance with scalability and security requirements is also a key concern. Additionally, effective collaboration with cross-functional teams—including data engineers, software developers, and business stakeholders—is crucial to ensure successful implementation and adoption of AI solutions.

What is the difference between Ai Ml Architect vs Data Scientist?

AspectAi Ml ArchitectData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or ML
Work EnvironmentDesigning AI/ML systems, overseeing deployment, collaborating with engineersAnalyzing data, building models, deriving insights, communicating findings
Employer & Industry UsageTech companies, AI-focused firms, R&D departmentsFinance, healthcare, marketing, tech, research organizations

While both roles require a strong background in machine learning and data analysis, an Ai Ml Architect primarily focuses on designing and deploying AI systems, whereas a Data Scientist emphasizes analyzing data and building predictive models. The Architect role is more system and infrastructure-oriented, often working closely with engineering teams, while the Data Scientist concentrates on extracting insights from data to inform business decisions.

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Ai Ml Architect jobs near you
Infographic showing various Ai Ml 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/ML Architect

Tror AI for everyone

Minneapolis, MN • Remote

Contractor

Re-posted 8 days ago

Job description

Role: AI/ML Architect

Remote

JD-

  • AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives.
  • Job Description:
  • Design and lead AI architecture for business use cases
  • Define the right AI approach across machine learning and Generative AI initiatives
  • Establish architecture standards, reusable patterns, and best practices for AI development
  • Guide integration of AI models into applications and enterprise systems
  • Lead development, deployment, monitoring, and continuous improvement of AI solutions
  • Ensure AI solutions are secure, scalable, reusable, and aligned with governance standards
  • Work closely with business, engineering, and data teams to deliver practical AI solutions
  • Provide technical leadership and guidance across AI initiatives
  • Recommend tools, platforms, and best practices for AI development
  • Skills / Requirements:
  • Experience with AI/ML and Generative AI, including LLMs, prompting, orchestration, and evaluation
  • Ability to design scalable, reusable AI architectures
  • Applied machine learning knowledge (model selection, training, tuning)
  • Strong understanding of machine learning concepts and model lifecycle
  • Proficiency in Python for AI/ML solution development
  • Experience integrating AI models through APIs and enterprise systems
  • Experience with cloud-based AI platforms and services
  • Familiarity with MLOps, AI governance, and platforms such as Azure, AWS, or Google Cloud

Client Feedback-

The candidate should have more AI/ML experience – Blend of Hands on experience + Solutioning.