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Ai Engineer Salary In Jobs in Tennessee (NOW HIRING)

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience ... FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in ...

Pwc

AI Engineer

Nashville, TN

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... in real-world applications Travel Requirements Up to 20% Job Posting End Date The salary range for ...

C2 Labs, Inc.

AI Engineer

Knoxville, TN · On-site

Preferred to live in the Knoxville, Tennessee metro area (or willing to relocate). Position Summary C2 Labs is hiring an AI Engineer to design, build, and ship AI and technology products that change ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

In this client-facing consulting role, you will design and build AI-enabled applications that connect clinical and enterprise data, tools, workflows, and users through scalable, governed engineering ...

Eastman Chemical Company

Senior AI Engineer

Kingsport, TN · On-site

$99K - $136K/yr

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of ... As an AI Engineer you will lead the design, development and adoption of new technology and ...

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

In this client‑facing consulting role, you will design and build AI‑enabled applications that connect clinical and enterprise data, tools, workflows, and users through scalable, governed ...

Deloitte

AI Engineer Consultant

Nashville, TN · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ...

Eastman

Senior AI Engineer

Kingsport, TN · On-site

$99K - $136K/yr

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of ... As an AI Engineer you will lead the design, development and adoption of new technology and ...

BPD

AI Engineer

Nashville, TN · On-site

$110K - $132K/yr

Our offices in Boca Raton, FL and Nashville, TN are where we come together for collaboration ... Data Solutions & Analytics The Position: We're hiring a mid-level AI Engineer to help build and ...

Accenture

Responsible AI Engineer

Morristown, TN · On-site

As a Responsible AI Engineer, you'll be experienced in building state of the art AI systems to ... Employee Benefits | Accenture Role Location Annual Salary Range California $73,800 to $220,400 ...

Accenture

Responsible AI Engineer

Nashville, TN · On-site

As a Responsible AI Engineer, you'll be experienced in building state of the art AI systems to ... Employee Benefits | Accenture Role Location Annual Salary Range California $73,800 to $220,400 ...

Deloitte

Senior AI Engineer - SFL Scientific

Nashville, TN · On-site

$100K - $138K/yr

Take the next step in your technical journey-develop your leadership, consulting acumen, and reputation as a trailblazer within the AI engineering field by joining our team! Recruiting for this role ...

United Airlines

Agentic AI Engineer

Nashville, TN

$68K - $161K/yr

In addition to base salary, this role may be eligible for additional compensation such as variable ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Deloitte

Applied AI Engineer II

Nashville, TN · On-site

$94K - $128K/yr

Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte's product and AI investments. You will leverage your engineering craftsmanship across ...

Deloitte

Applied AI Engineer II

Hermitage, TN · On-site

$85K - $117K/yr

Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte's product and AI investments. You will leverage your engineering craftsmanship across ...

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Ai Engineer Salary In information

What is the difference between Ai Engineer Salary In vs Data Scientist?

AspectAi EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, AI startupsResearch firms, tech companies, finance, healthcare
Employer & Industry UsageDeveloping AI models, deploying AI solutionsAnalyzing data, building predictive models

Both roles require strong technical skills and similar educational backgrounds. Ai Engineers focus on developing and deploying AI systems, while Data Scientists analyze data to inform decisions. Salary differences depend on experience, location, and industry demand.

Do I need a degree to be an AI engineer?

While a degree in computer science, data science, or related fields is common for AI engineers, it is not always mandatory; practical skills, experience with programming languages like Python, and knowledge of machine learning frameworks are highly valued. Many successful AI engineers are self-taught or have gained expertise through online courses, certifications, and hands-on projects.

How much money do AI engineers make?

AI engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow can command higher salaries, often exceeding $200,000.

Is AI engineer a high paying job?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries can vary based on experience, location, and industry, but overall, AI engineering is considered a well-compensated profession in the tech field.

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Infographic showing various Ai Engineer Salary In job openings in Tennessee as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Engineer

FOCUSPOINT

Nashville, TN • On-site

Contractor

Medical, Dental, Vision, Life

Re-posted 15 days ago

Job description

Job Title: AI Engineer
Location: Varies by client
Employment Type: Contract
Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Job Overview:
FOCUSPOINT is seeking an experienced AI Engineers for our client base.

We're partnering with forward-thinking companies that are scaling their machine learning operations and real-time AI deployments. As an AI Engineer, you’ll play a pivotal role in designing, training, and refining intelligent systems across key business domains. This is your opportunity to be at the forefront of innovation—with support from a team that understands both the tech stack and the talent landscape.

Our clients look for engineers who bring more than just model fluency—they need builders, integrators, and problem-solvers who can bridge research with production.

Key Responsibilities:

  • Design, implement, and optimize AI/ML models (NLP, CV, RL, LLM fine-tuning) to solve high-impact business problems
  • Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance
  • Develop scalable pipelines for data ingestion, feature engineering, model training and deployment
  • Stay current with emerging AI frameworks and contribute to internal knowledge-sharing and POC development
  • Ensure model integrity, reproducibility, and ethical AI guidelines in deployment

Qualifications:

  • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field
  • 3–5 years of experience in AI/ML development, with hands-on work deploying models in production
  • Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow
  • Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes preferred
  • Strong understanding of model architecture, training optimization, and performance tuning

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Vision insurance