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Ai Practitioner Jobs (NOW HIRING)

Keylent

MLOps with Agentcore - Onsite, CTH

Exton, PA

$64 - $84.25/hr

AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate, or AWS Certified AI Practitioner. Willingness to learn emerging AI technologies, frameworks, and evolving cloud ...

EoS Fitness

Associate AI Solutions Analyst

Phoenix, AZ · On-site +1

This is a great opportunity for an emerging AI practitioner who is eager to apply their knowledge of AI tools and workflows in a dynamic, collaborative environment. You will support day-to-day AI ...

EōS Fitness

Associate AI Solutions Analyst

Phoenix, AZ · On-site

$60K - $70K/yr

To create loyal, lifelong fans and exercise practitioners. We are seeking an Associate AI Solutions Analyst to join our enterprise AI Operations team. This is a great opportunity for an emerging AI ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

The ideal candidate will be an experienced AI practitioner - with 4+ years of hands-on experience and is comfortable designing AI solutions that are cloud-agnostic, portable across environments, and ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

$63.25 - $84.50/hr

The ideal candidate will be an experienced AI practitioner - with 4+ years of hands-on experience and is comfortable designing AI solutions that are cloud-agnostic, portable across environments, and ...

RSM

Senior Associate, AI & Data Strategy

Chicago, IL

Azure AI Fundamentals (AI-901), Azure Data Fundamentals (DP-900), AWS Certified AI Practitioner (AIF-C01), AWS Certified Cloud Practitioner (CLF-C02), Generative AI Leader (Foundational), Databricks ...

RSM

Senior Associate, AI & Data Strategy

Chicago, IL

Azure AI Fundamentals (AI-901), Azure Data Fundamentals (DP-900), AWS Certified AI Practitioner (AIF-C01), AWS Certified Cloud Practitioner (CLF-C02), Generative AI Leader (Foundational), Databricks ...

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Ai Practitioner information

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How much do ai practitioner jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for ai practitioner in the United States is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.15 per hour, depending on experience, location, and employer.

What are some common challenges AI Practitioners face when integrating machine learning solutions into existing business processes?

AI Practitioners often encounter challenges such as aligning machine learning models with business objectives, ensuring data quality and availability, and managing stakeholder expectations. Integrating AI solutions typically requires close collaboration with cross-functional teams, including IT, product managers, and subject matter experts, to ensure seamless deployment and adoption. Additionally, maintaining transparency and explainability of AI models can be crucial for gaining trust from non-technical stakeholders and meeting compliance requirements.

What is the difference between Ai Practitioner vs Data Scientist?

AspectAi PractitionerData Scientist
Required CredentialsCertifications in AI, machine learning, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentDeveloping AI models, implementing algorithms, working with AI toolsAnalyzing data, building predictive models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech firms, research institutions

While both roles involve working with data and algorithms, an Ai Practitioner primarily focuses on developing and deploying AI solutions, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap but differ in their core focus and skill sets.

What are AI Practitioners?

AI Practitioners are professionals who specialize in designing, developing, and implementing artificial intelligence solutions. Their work involves applying machine learning, data analysis, and advanced algorithms to solve real-world problems across various industries. They often collaborate with data scientists, engineers, and business leaders to create intelligent systems that can automate tasks, extract insights from data, and improve decision-making processes. AI Practitioners typically have expertise in programming, mathematics, and statistics, as well as experience with AI frameworks and tools.

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

To thrive as an AI Practitioner, you need strong analytical skills, a solid grounding in mathematics and statistics, and experience with programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and certifications like TensorFlow Developer or AWS Certified Machine Learning are highly valuable. Critical thinking, problem-solving, and effective communication set outstanding practitioners apart by enabling them to translate complex models into actionable business solutions. These skills and qualities are vital for developing robust AI systems that address real-world challenges and deliver measurable impact.
More about Ai Practitioner jobs
What cities are hiring for Ai Practitioner jobs? Cities with the most Ai Practitioner job openings:
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Ai Practitioner jobs near you
Infographic showing various Ai Practitioner job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 39% Full Time, 57% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.

Lead Machine Learning Engineer (Locals to NJ preferred) - W2 Role

Saransh Inc

Weehawken, NJ • On-site

$111K - $146K/yr

Contractor

Posted 21 days ago

Job description

Role: Lead / Senior Machine Learning Enginee
Location: Weehawken, NJ (Day 1 Onsite) - Locals preferred
Job Type: W2 Contract
 
Position Overview:
  • We are seeking a highly skilled and experienced Lead/ Senior Machine Learning Engineer with expertise in Python and hands-on experience designing innovative solutions using Agentic systems and modeling large language models (LLMs).
  • The ideal candidate will hold an Azure Certified AI Practitioner certification and demonstrate deep knowledge of Azure’s AI services and data engineering tools.
 
Key Responsibilities:
AI and Agentic Solutions Development:
  • Design, develop, and implement agentic systems for real-time decision-making processes.
  • Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation.
  • Collaborate with stakeholders to architect solutions that align with organizational goals.
LLM Development and Optimization:
  • Build, customize, and fine-tune large language models (LLMs) for diverse business applications.
  • Research and experiment with LLM architectures to optimize performance for specific use cases like NLP, conversational AI, and summarization.
  • Deploy LLMs efficiently on Azure services such as Azure Machine Learning, OpenAI Service, and Cognitive Services.
Data Engineering Expertise:
  • Architect and maintain complex data pipelines and frameworks on Azure.
  • Work with relational and non-relational databases to preprocess and manage datasets for AI models.
  • Leverage Azure tools like Data Factory, Synapse Analytics, and Databricks for ETL processes and advanced analytics workflows.
Python Development and Software Engineering:
  • Write high-quality, scalable Python code for machine learning and data engineering applications.
  • Develop reusable libraries for AI models and data processing workflows.
  • Collaborate with DevOps teams to ensure robust CI/CD pipelines and deploy production-ready solutions in cloud environments.
Collaboration and Leadership:
  • Mentor and guide junior engineers on best practices in data engineering and machine learning.
  • Collaborate with cross-functional teams, including data scientists, product managers, and business analysts.
  • Proactively contribute to strategic roadmaps for AI-powered business solutions.
Required Qualifications:
  • Azure Certified AI Practitioner (or equivalent Azure certification in AI and data engineering).
  • Demonstrable expertise in Python, with advanced knowledge of libraries such as Pandas, NumPy, PyTorch, TensorFlow, and LangChain.
  • Extensive experience designing and building Agentic solutions (e.g., autonomous agents capable of advanced decision-making and orchestration).
  • Hands-on experience with modeling and deploying LLMs (fine-tuning, prompt engineering, optimization).
  • Proficiency with Microsoft Azure ecosystem, including services like Azure Machine Learning, OpenAI Service, Cognitive Services, and Databricks.
  • Strong understanding of machine learning, natural language processing (NLP), and generative AI concepts.
  • Familiarity with best practices in data engineering, such as data modeling, schema design, ETL processes, and pipeline optimization.
Preferred Qualifications:
  • Advanced degree (Master’s or PhD) in Computer Science, Data Engineering, AI/ML, or a related field.
  • Experience with integrating LLMs into production environments for real-world applications (e.g., chatbots, document summarization, generative design).
  • Knowledge of distributed computing frameworks (e.g., Spark, Hadoop).
  • Familiarity with versioning tools (e.g., Git), containerization (e.g., Docker), and orchestration (e.g., Kubernetes).