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Ai Implementation Jobs (NOW HIRING)

AI Implementation Associate

New York, NY ยท On-site

$130K - $180K/yr

About this role We're hiring a Finance AI Implementation Associate to sit at the seam between our customers and our product. You'll work directly with brands to optimize their cash across cash ...

We are currently looking for an AI Implementation Specialist based in the Greater Boston area to join one of our US-based clients through a contract-to-hire engagement . About the role The AI ...

This role combines hands-on human review with structured, rubric-based evaluation incorporating automation to ensure AI systems meet documented standards before customer implementations go live. As ...

This role combines handson human review with structured, rubricbased evaluation incorporating automation to ensure AI systems meet documented standards before customer implementations go live. As ...

We are currently looking for a Senior Manager, AI Implementation based in the Greater Boston area to join one of our US-based clients through a contract-to-hire engagement . About the role The Senior ...

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Ai Implementation information

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$103.5K

$168K

How much do ai implementation jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai implementation in the United States is $103,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $121,000.00 per year, depending on experience, location, and employer.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
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What cities are hiring for Ai Implementation jobs? Cities with the most Ai Implementation job openings:
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What states have the most Ai Implementation jobs? States with the most job openings for Ai Implementation jobs include:
Infographic showing various Ai Implementation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $103,518 per year, or $49.8 per hour.

Clinical AI Implementation Lead

Clinically AI

San Diego, CA โ€ข On-site

Full-time

Medical

Posted 24 days ago


Job description

Clinically AI is a healthcare technology company transforming how clinicians document care, complete audits, and manage administrative workflows through artificial intelligence. Our platform reduces administrative burden, improves operational efficiency, and helps behavioral health and healthcare organizations focus more on care delivery and less on documentation and compliance overhead. Built with a strong emphasis on clinical usability, regulatory alignment, and workflow integration, we operate in a fast-growing and rapidly evolving AI healthcare market where adoption, trust, and execution matter.
We are seeking a Clinical AI Implementation Lead to join our team in a hybrid role, working on-site in our San Diego office Monday through Thursday. In this role, you will own end-to-end implementation, adoption, and workflow enablement for enterprise behavioral health and healthcare customers using the Clinically AI platform.
This is not a traditional software implementation role focused only on deployment and go-live milestones. Success in this position is measured by sustained usage, behavioral adoption, and long-term workflow integration across clinical, compliance, audit, and operational teams. You will help organizations become AI-native by guiding clinicians, administrators, and leadership teams through the transition from cautious experimentation to confident daily usage. You will help customers operationalize AI in a way that becomes embedded into daily clinical and administrative workflows
This role combines project management, workflow consulting, AI configuration, stakeholder leadership, and organizational change management. You will serve as the primary strategic and operational partner for customers throughout implementation and adoption, helping them integrate AI into real clinical and administrative workflows in a way that is practical, compliant, and sustainable over time.
This is a highly cross-functional role requiring strong communication, systems thinking, empathy, and operational leadership. You must be comfortable working across executives, therapists, compliance leaders, IT stakeholders, and frontline staff while maintaining clarity, momentum, and trust throughout the customer journey.
KEY ATTRIBUTES TO SUCCEED
  • Adoption-Focused Mindset: You measure success by sustained usage, workflow integration, and customer outcomes rather than simply completing implementation milestones.
  • Strong Project and Program Management: You are able to manage complex, multi-stakeholder implementations across clinical, operational, compliance, and technical teams while maintaining alignment and execution momentum.
  • Empathy and Change Leadership: You are comfortable guiding clinicians, administrators, and operational teams through uncertainty or skepticism related to AI adoption and new workflows.
  • AI-Native Thinking: You actively use AI tools in your own work and understand prompting, structured outputs, workflow automation, and practical AI application in operational environments.
  • Clinical Workflow Fluency: You understand healthcare and behavioral health documentation workflows, compliance requirements, and how clinicians and audit teams operate in practice.
  • Communication and Stakeholder Alignment: You are able to communicate effectively with executive sponsors, therapists, compliance teams, IT leaders, and frontline users while adapting your communication style to different audiences.
  • Systems and Operational Thinking: You understand how implementation, training, adoption, support, workflow optimization, and customer success connect into a unified operational system.
  • Thriving in a Fast-Paced Environment: You operate effectively in a high-growth startup where priorities evolve quickly and speed of execution matters.

REQUIRED:
  • 5+ years of experience in healthcare technology implementation, consulting, or clinical operations leadership
  • Demonstrated experience owning enterprise-grade implementations from kickoff through stabilization, with full ownership of project plan, configuration, training, and adoption
  • Hands-on experience with EHR systems, clinical documentation workflows, and clinician training
  • Strong track record in change management and adoption, particularly with users who are new to a technology or cautious about it
  • Active, daily user of AI tools in your own work (LLMs, prompt engineering, structured outputs)
  • Excellent communication and persuasion skills, comfortable presenting to executive leadership, leading clinician training, and working across stakeholder groups

PREFERRED BUT NOT REQUIRED (Nice to Have):
  • Behavioral health, substance use, IDD, or human services experience
  • Familiarity with chart auditing, utilization review, compliance auditing, or quality assurance workflows
  • Familiarity with compliance frameworks such as Joint Commission, CARF, Medicaid requirements, and ASAM Criteria
  • Hands-on experience with AI-powered documentation tools or ambient listening technologies
  • Background as a behavioral health clinician (LCSW, LPC, LMFT, LMHC, LPCC, psychologist, etc.)
  • Experience scaling an implementation function in an early-stage SaaS environment

This is a full-time hybrid position based in San Diego, CA, with on-site work required Monday through Thursday and up to 20% domestic travel for customer onboarding, training, workshops, and go-live support. Clinically AI is a high-growth early-stage company, and we are intentional about building a strong in-person culture where collaboration, speed, customer feedback, and operational execution are central to success.
We offer competitive compensation, performance-based incentives, healthcare coverage, and flexible time off. The base salary range for this role is $100,000-$150,000 annually, depending on experience, healthcare implementation expertise, customer-facing leadership experience, demonstrated performance, and overall scope alignment. This role is also eligible for a target annual bonus equal to 10% of base salary, with bonus payouts evaluated quarterly based on achievement of both company and individual performance goals. In certain cases, we may consider candidates outside of this range whose background, clinical workflow knowledge, implementation track record, or healthcare AI experience strongly aligns with the needs of the role.
The interview process includes an initial screening interview, followed by 2 onsite interviews focused on clinical workflow understanding, AI fluency, project management, stakeholder leadership, and adoption strategy, with a final conversation with the CEO. Final candidates will complete a hiring exercise involving AI workflow configuration and a customer adoption strategy exercise designed to assess systems thinking, implementation judgment, and organizational change management approach.
Due to high interest, we will only respond to candidates who meet the basic qualifications.
Clinically AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics.