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Ai Practitioner Jobs (NOW HIRING)

AI Integrator

Chicopee, MA · On-site

$167K - $196K/yr

This is a high-impact, autonomous role requiring a "full-stack" AI practitioner who can navigate the complexities of data engineering, cloud architecture, and DevOps within secure DoD environments.

AI Engineer III

San Antonio, TX · On-site

$120K - $140K/yr

AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner * Microsoft Certified: Azure AI Engineer Associate (AI-102) * Google Cloud Professional Machine Learning ...

AI Architect

Mclean, VA · On-site

$190K - $230K/yr

About the Role We're hiring our most senior AI practitioner. As AI Architect, you'll own the north star for gen AI and ML engineering at KLDiscovery and build alongside the team to make it real. This ...

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How much do ai practitioner jobs pay per hour?

As of Sep 9, 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 is an AI practitioner?

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?

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.

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.

How much does an AI practitioner make?

An AI practitioner typically earns between $80,000 and $150,000 annually, depending on experience, education, and location. Professionals with advanced skills in machine learning, deep learning, and data analysis tend to earn higher salaries, especially in tech hubs or industries with high demand for AI expertise.

How to become a certified AI practitioner?

To become a certified AI practitioner, individuals typically complete relevant training programs or courses in artificial intelligence, machine learning, or data science offered by accredited institutions or online platforms. Earning industry-recognized certifications such as those from Microsoft, Google, or the Certified Artificial Intelligence Practitioner (CAIP) program can validate skills and improve job prospects.

Would an AI practitioner certificate be worth it?

An AI practitioner certificate can enhance your credentials and demonstrate knowledge of machine learning, data analysis, and AI tools. It may improve job prospects and salary potential, especially when combined with practical experience and skills in programming languages like Python or frameworks such as TensorFlow.
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Infographic showing various Ai Practitioner job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $41,232 per year, or $19.8 per hour.

Healthcare AI Engagement Lead (Remote)

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

Position Description:
The Cognizant Automation practice focuses on providing Robotic Process Automation, Smart Data Intake, Analytics, Machine learning, Gen AI and Agentic AI solutions for mission critical business and IT processes to major industries globally. It is one of the fastest growing practices in the company, and a key pillar of our digital offerings. We are seeking an Engagement Lead with experience in leading large-scale AI implementation projects in Healthcare domain to help our clients harness the power of AI and to manage the AI enabled automation delivery for a North America-based customer.
This role will be accountable for establishing, sustaining and growing Cognizant's Automation presence with the customer by ensuring operational and delivery excellence. The EL must also focus on creating value-added long-term partnerships with the client, internal account and market teams.
The right candidate for this role must have proven success with hands-on delivery and program management. Experience in leading the design and implementation of global AI driven automation programs with established governance at executive leadership level is a desired skill. They must also understand, appreciate and drive transformation based on business needs, to stay ahead of the competition, as the industry pivots to AI driven Automation.
Success begins with delivery excellence and hence one of the primary expectations from this role is to ensure that we first deliver on our commitments, thereby forging strong and trusted partnerships with the client and account teams.
This person is expected to leverage their combined industry, delivery and AI driven transformation expertise to lead AI automation opportunity identification, technical feasibility analysis, implement best practices, drive transparency through outcome management, demonstrate intelligent risk management and problem solving to support the client's needs and solve business challenges through intelligent automation.
Goals in this role will include demonstrated delivery excellence, high customer satisfaction scores, meeting margin commitments, opportunities to partner on solutions, expanded presence at the client, referrals, and/or publicly reference-able accounts.
Responsibilities:
  • Lead discovery sessions with clients and partner with the product owners and architects in the client organization to identify and evaluate AI automation opportunities, lead design and drive the right fit automation solution to achieve the expected business outcomes.
  • Partner with clients in defining their AI strategy roadmap by bringing in the AI practitioner's experience.
  • Ensure delivery excellence by embedding best practices, outcome management and delivering on our commitments for both implementation and support.
  • Establish, sustain or grow the Intelligent Process Automation capability in the assigned accounts. For example, identify opportunities for interconnected solutions, expand existing capabilities to new business areas, etc.
  • Be a trusted delivery partner and point of contact for the client and Cognizant teams for the automation program/engagement.
  • Ensure contractual commitments are tracked and implemented with reference to delivery.
  • Collaborate with extended delivery teams across the globe.

Required Skills and Qualifications:
  • Hands-on experience in leading the implementation of AI enabled business process transformation solutions.
  • Experienced in leading AI automation opportunity identification and evaluation.
  • Proven experience shaping AI strategy roadmaps for clients and aligning them to business outcomes (growth, efficiency, risk reduction, customer experience), leveraging practitioner insights.
  • Recommend frameworks for AI governance, responsible AI and define operating models to scale AI within client environments.
  • Practitioner experience in leading design and implementation of AI automation solutions on either cloud AI services (Azure, AWS, GCP etc.) or full-stack technologies including Python.
  • Management experience - Experience in leading and executing global automation programs involving Smart Data Intake, ML, Gen AI and Agentic AI solutions, with established governance at exec leadership/steering committee level.
  • Operational Rigor - Demonstrated success and strength in managing across clients and programs to deliver results. This will combine a strong mindset in program and project management, leveraging data to drive objectives and creating strategic plans to deliver results for today while setting up for continue accelerated growth.
  • Business Acumen - demonstrated experience in leading AI/automation delivery in Healthcare industry i.e. domain experience across Claims Operations, Membership and Enrollment, Appeals & Grievances etc.
  • Leadership- Ability to lead and manage a high performing team and support growth and development of team members. This individual will be expected to work with his or her team to continue to grow and develop team members to meet the fast-paced demand of the digital and automation space.
  • Influencing skills - Ability to work with those within other teams to collaborate on optimal solutions and outcomes for clients. This individual will be expected to work with teams within the practice, collaborate with other business units and partner with account teams, while managing client expectations and growth strategies.
  • Communication - Demonstrated strength in both verbal and written communication. Ability to clearly message across levels of an organization, including a strong executive presence.
  • Financial acumen - to manage project P&L from an internal standpoint and help guide clients in their investment choices from an externally facing standpoint.
  • Multi-geo experience and the ability to create effective relationships with offshore teams in a global delivery model.
  • Exceptional client management skills and experience.
  • Ability to work collaboratively in a virtual and highly matrixed environment.
  • Willing to travel to client location as per engagement requirement.

Salary and Other Compensation:
The salary for this position is between $140,000 - $165,000k depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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