ZipRecruiter

Log In

1

Ai Platform Engineer Jobs in Tennessee (NOW HIRING)

Armaninollp

Data & AI Platform Engineer

Nashville, TN · On-site

$110K - $132K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

Navionlogistics

Agentic Platform Engineer

Nashville, TN · On-site

$100 - $140/hr

This role sits at the intersection of systems engineering, workflow orchestration, and applied AI. The Agentic Platform Engineer will help design the durable operational layer that turns unstructured ...

ITR

Kubernetes Platform Engineer

Oak Ridge, TN · On-site

Senior Kubernetes Platforms System Engineer Experience level: senior-level Work location: on-site ... KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC ...

Cadre5

Kubernetes Platform Engineer

Knoxville, TN · On-site

Kubernetes Platform Engineer Founded in 1999 in the beautiful Smoky Mountains of East Tennessee ... AI model development, data sharing, and large-scale computational science across the U.S.

Deloitte

AI Engineer Consultant

Nashville, TN · Hybrid

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

Holland & Knight

AI Legal Engineer

Nashville, TN · On-site

... and platform changes, user feedback, or evolving practice needs. * Represent the AI Products ... engineering, retrieval-augmented generation (RAG) concepts, and evaluation of model outputs.

Holland & Knight

AI Legal Engineer

Chattanooga, TN · On-site

... and platform changes, user feedback, or evolving practice needs. * Represent the AI Products ... engineering, retrieval-augmented generation (RAG) concepts, and evaluation of model outputs.

Heaven-Hill

AI Infrastructure Analyst

Louisville, TN · On-site

$75 - $105/hr

This role works closely with Infrastructure Engineering to maintain a secure, stable, and supportable AI platform environment. The Analyst independently manages routine platform work and contributes ...

C2 Labs, Inc.

AI Engineer

Knoxville, TN

We build real products and platforms that remove manual work, speed decisions, and scale securely ... Position Summary C2 Labs is hiring an AI Engineer to design, build, and ship AI and technology ...

Cadre5

Senior Platform Engineer

Knoxville, TN · On-site

$93K - $127K/yr

Senior Platform Engineer Founded in 1999 in the beautiful Smoky Mountains of East Tennessee, Cadre5 ... KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC ...

next page

Showing results 1-20

All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Tennessee

Ai Platform Engineer information

See Tennessee salary details

$30

$58

$86

How much do ai platform engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai platform engineer in Tennessee is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $66.97 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Tennessee?

For Ai Platform Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Tennessee look for?

The top searched job categories for Ai Platform Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Ai Platform Engineer jobs?

Cities in Tennessee with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Tennessee as of August 2026, with employment types broken down into 61% Full Time, 37% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $120,737 per year, or $58 per hour.

AI Platform Engineer II

Whopper Technologies

Memphis, TN • On-site

Contractor

Re-posted 3 days ago

Job description

Job Title: AI Platform Engineer II
Location: Memphis, TN
Seniority on the skill/s required on this requirement: Mid-Level (II)
Estimated Duration: 18+ months
Work authorization: Must be authorized to work in USA.

Job Summary:
The AI Platform Engineer II supports the design, development, and delivery of AI solutions, focusing on either AI infrastructure (LLM platform, backend systems, cloud engineering) or AI application development (end-user experiences, integrations). This role works independently on moderate features and short projects, collaborates with cross-functional teams, and contributes to secure, scalable, and impactful AI solutions. Candidates are expected to demonstrate strong skills in one area, with opportunities to broaden their expertise through collaboration and learning. This role requires independent ownership of end-to-end feature delivery and mentoring of Engineer I-level peers.

Responsibilities:

Platform & Application Development:

  • Contribute to the development and maintenance of LLM gateways, retrieval-augmented generation platforms, or AI-powered applications
  • Depending on specialization, focus on either building and optimizing backend AI infrastructure, cloud services, and data pipelines, OR designing and implementing AI-powered user experiences, integrations, and APIs
  • Participate in the integration of AI solutions with enterprise systems and data sources
  • Independently develop APIs and automation scripts for data integration and platform scalability

Security, Governance, and Observability:

  • Support the implementation of security, compliance, and governance controls for AI systems
  • Assist with logging, monitoring, and reporting for auditability and usage insights

Engineering & DevOps:

  • Develop and deploy AI applications using CI/CD pipelines and containerized environments (Docker, Kubernetes)
  • Apply DevOps practices such as dependency management, vulnerability scanning, and role-based access as appropriate to project scope

Collaboration & Delivery:

  • Work with business/product stakeholders to translate requirements into AI features or applications
  • Collaborate with senior engineers and platform teams to adopt new capabilities and provide feedback
  • Participate in agile development processes (Scrum) to deliver projects efficiently
  • Mentor or review work from Analyst and Engineer I-level team members

Learning & Growth:

  • Expand expertise in either AI infrastructure or application development, with opportunities to learn from senior engineers and cross-functional teams
  • Share knowledge and support peer learning within the team

Requirements:

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Infrastructure Engineering, Cloud Engineering, or related field (or equivalent experience)
  • 5–7+ years of experience in software development, infrastructure engineering, or cloud engineering, with demonstrated proficiency in either AI infrastructure or AI application development
  • Experience building backend applications and APIs (REST/GraphQL/gRPC) or developing user-facing AI applications
  • Familiarity with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, GCP)
  • Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.)
  • Experience with CI/CD pipelines and containerization (Docker, Kubernetes) preferred
  • Strong problem-solving and collaboration skills
  • Excellent written and verbal communication skills

Nice to Have:

  • Experience with vector databases, retrieval-augmented generation, or embedding models
  • Exposure to enterprise security and compliance frameworks
  • Familiarity with monitoring/observability stacks (Splunk, AWS CloudTrail, ScienceLogic)
  • Experience building chatbots, virtual assistants, or integrating AI into production systems

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.