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Artificial Intelligence Engineer Jobs in Tennessee

Job Title: Quality Engineer We are seeking a Quality Engineer for an exciting opportunity in ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience ... Bachelor's or Master's in Computer Science, Artificial Intelligence, or a related field * 3-5 years ...

Job Title: Controls Engineer The Controls Engineer is responsible for designing, programming ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Systems Engineer

Tullahoma, TN · On-site

$61K - $141K/yr

R0245980 Systems Engineer The Opportunity: Are you looking for an opportunity to combine your ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.

Showing results 21-40

Artificial Intelligence Engineer information

See Tennessee salary details

$39.9K

$96.6K

$157.5K

How much do artificial intelligence engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for artificial intelligence engineer in Tennessee is $96,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $120,300.00 per year, depending on experience, location, and employer.

What does an Artificial Intelligence Engineer do?

An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer?

To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.

Is an artificial intelligence engineer still in demand?

Artificial intelligence engineers are currently in high demand due to the rapid growth of AI applications across industries such as technology, healthcare, and finance. The role requires skills in machine learning, deep learning, and programming languages like Python, with many organizations actively hiring to develop AI solutions.

What is an artificial intelligence engineer's salary?

The salary of an artificial intelligence engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What jobs do artificial intelligence engineers do?

Artificial intelligence engineers develop, implement, and optimize AI models and algorithms for applications such as machine learning, natural language processing, and computer vision. They work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and often collaborate with data scientists and software developers to create intelligent systems. Their responsibilities include data preprocessing, model training, testing, and deployment in various industries including tech, healthcare, and finance.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Tennessee?

The most popular types of Artificial Intelligence Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Artificial Intelligence Engineer jobs?

Cities in Tennessee with the most Artificial Intelligence Engineer job openings:

Infographic showing various Artificial Intelligence Engineer job openings in Tennessee as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,558 per year, or $46.4 per hour.

Manager of Decision Intelligence Consulting

HCA Healthcare

Franklin, TN • On-site

Other

Re-posted 8 days ago


HCA Healthcare rating

6.5

Company rating: 6.5 out of 10

Based on 2,291 frontline employees who took The Breakroom Quiz

604th of 888 rated healthcare providers


Job description

This is OUR story... and YOUR next chapterAt HCA Healthcare, our Digital Transformation and Innovation (DT&I) team is redefining what’s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly mattersWhat you will accomplish in this role

The Manager of Decision Intelligence Consulting within the DT&I Ecosystem Decision Intelligence team leads high impact consulting engagements that shape critical product, technology, and investment decisions across the enterprise. As a core component of the Decision Intelligence model, this role focuses on high-touch, high-stakes advisory work requiring structured analysis, clear tradeoff evaluation, and strong executive alignment. Reporting to the Director of Technology Investment Strategy, this role partners with Domain Leaders, Product, Data, Engineering, and Shared Services to evaluate complex opportunities across the DT&I portfolio. 

The Manager is accountable for delivering Targeted Intelligence Reports, Build/Buy/Partner analyses, and executive decision briefs that integrate financial, technical, operational, and market perspectives. These outputs directly inform prioritization and investment decisions at the senior leadership level. This role ensures recommendations are analytically rigorous, strategically aligned, and executable within enterprise constraints. In addition to engagement delivery, the Manager operationalizes and evolves Decision Intelligence consulting practices, including methodologies, quality standards, and operating mechanisms aligned to the DT&I model. This includes accountability for structured intake, backlog prioritization, and ensuring work is evaluated at the appropriate level of depth and rigor. 

The Manager leads and develops a team of Decision Intelligence Consultants, driving consistent delivery quality, strong stakeholder engagement, and measurable impact. This role serves as a critical bridge between strategy and execution, enabling DT&I to make faster, more informed decisions on complex, high-consequence initiatives.

Major Responsibilities:

Decision Intelligence Consulting Delivery

  • Lead high-touch consulting engagements focused on complex product, technology, and investment decisions.
  • Own and deliver Build/Buy/Partner analyses, including financial modeling, capability assessment, vendor evaluation, and risk analysis.
  • Own and deliver targeted intelligence reporting that provides DT&I leadership with critical market, technology, and capability intelligence related to core delivery areas
  • Develop executive-ready decision briefs that synthesize complex data into clear, actionable recommendations.
  • Ensure all deliverables meet high standards for analytical rigor, strategic alignment, and executive communication, and that consulting outputs are aligned with broader DT&I product lifecycle and decision-making cadence.

Operating Model & Practice Excellence

  • Own and refine Decision Intelligence consulting methodologies, templates, and quality standards.
  • Operationalize and enforce Decision Intelligence operating principles, including Agile practices such as structured intake, backlog management, and estimation rigor (e.g., Planning Poker).
  • Ensure consistent application of frameworks for evaluating complexity, risk, and audience impact in decision making. 
  • Continuously improve consulting effectiveness through feedback loops, retrospectives, and performance measurement.
  • Ensure consulting work is appropriately scoped, sequenced, and delivered within established timelines.
  • Monitor progress, manage risks, and adjust plans to ensure successful delivery of engagements.

Stakeholder Engagement & Executive Influence

  • Serve as a trusted advisor and extension of the Director of Technology Investment Strategy as needed for senior leaders including VPs and SVPs across business and technology functions.
  • Communicate complex analyses and recommendations with clarity, precision, and executive presence.
  • Influence decision outcomes without direct authority, aligning stakeholders around shared objectives and tradeoffs.
  • Build strong, durable relationships across DT&I and enterprise partners.

Domain Leader Advisory & Cross-Domain Enablement

  • Serve as a strategic advisor to Domain Leaders on prioritization mechanics, tradeoffs, and dependency management.
  • Support Domain Leaders in navigating complex cross-domain and pod-level decisions, especially where shared capabilities or platforms are required.
  • Elevate cross-domain insights into actionable portfolio strategy recommendations.

People Leadership & Team Development

  • Lead, coach, and develop a team of Decision Intelligence Consultants.
  • Ensure high-quality delivery, professional growth, and strong engagement across the team.
  • Build a culture of accountability, transparency, and continuous improvement.
  • Assign work based on complexity, risk, and development opportunities, aligned to Agile planning processes.

Education & Experience:

  • Bachelor's degree in Business, Finance, Technology, Economics, or a related field. - Required
  • Master's degree (MBA) in Business, Strategy or related field. - Preferred
  • 4 years of experience in a leadership role in management consulting, technology strategy, corporate strategy, decision support or a related discipline that emphasizes strategy, planning, or tradeoff evaluation. - Required
  • Demonstrated experience leading high-impact consulting engagements or strategic initiatives involving senior executive stakeholders. - Required
  • Proven ability to structure and deliver Build vs Buy or similar in-depth analyses, including financial modeling, vendor evaluation, and capability assessment - Required
  • Strong financial acumen, including experience with cost modeling, ROI analysis, and value realization frameworks. - Required
  • Experience translating ambiguous business problems into structured analytical frameworks and actionable recommendations. - Required
  • Demonstrated ability to synthesize complex data into executive-level communications (e.g., decision briefs, presentations). - Required
  • Experience partnering with Product Management, Software & Data Engineering, AI/ML, and other technical teams to distill requirements and estimate complexity/timelines. - Required
  • Proven ability to influence decision-making without direct authority in highly matrixed environments. - Required
  • Prior experience in digital transformation, innovation, or enterprise technology organizations. - Preferred
  • Demonstrated ability to lead, coach, and develop team members in consulting or analytical roles. -  Required
  • Experience identifying and managing cross-domain dependencies, shared capabilities, and systemic risk – Preferred

Work Location/Schedule:

  • Nashville, TN area (near Centennial Park)
  • Onsite: M-F, 8am – 5pm

Travel Required:

  • This job may require up to 25% travel.

Visa Sponsorship:

  • Not offered, now or in the future


At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Manager Ecosystem today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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