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Ai Platform Engineer Jobs in Tennessee (NOW HIRING)

Nextech

Job 5144: AI Platform Engineer II

Memphis, TN · On-site +1

AI Platform Engineer II Location: Memphis, TN (Remote candidates may be considered if a qualified local candidate is not available) Overview We are seeking an experienced AI Platform Engineer II to ...

New

Armaninollp

Data & AI Platform Engineer

Nashville, TN

$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 ...

Thecentermemphis

Engineer II - AI Platform

Memphis, TN · On-site

$110 - $160/hr

We're looking for an AI Platform Engineer II to help build the secure, scalable foundations that power enterprise AI at ALSAC. In this role, you'll design and develop core platform components ...

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

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

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

... 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

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

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 4, 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 84% Full Time, and 16% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $120,737 per year, or $58 per hour.

AI Platform Engineer

Kanini Software Solutions

Nashville, TN • On-site

$100 - $130/hr

Other

Posted 3 days ago

New

Job description

We are looking for an AI Platform Engineer with strong experience in Azure and Snowflake to design, implement, and govern our next-generation AI capabilities. You will be responsible for enabling and operating Model Context Protocol (MCP) servers, establishing robust data and access controls, and working with multiple stakeholders to connect AI clients and agents in a secure, compliant manner.

This role sits at the intersection of cloud infrastructure, data platforms, and AI enablement, and will be a key contributor to our enterprise AI strategy.

Key Responsibilities
  • Design, deploy, and maintain MCP servers in Azure and Snowflake-based environments to support AI agents and developer workflows.
  • Implement and manage data access patterns and governance controls to ensure AI systems only access permitted data (e.g., role-based access control, data masking, tokenization, row-level security).
  • Integrate AI capabilities with existing data pipelines, data warehouses, and lakehouse architectures in Azure and Snowflake.
  • Collaborate with data engineering teams to ensure data quality, lineage, and observability for AI use cases.
Connectivity & Integration with AI Clients and Agents
  • Work closely with application teams, data teams, and security teams to establish secure connectivity between AI clients, AI agents, and backend data/services.
  • Define and implement APIs, connectors, and integration patterns between AI agents and enterprise systems, including identity and access management (IAM).
  • Partner with InfoSec / Cybersecurity to ensure that AI agent connectivity adheres to organizational security standards, including network segmentation, authentication, and authorization.
  • Troubleshoot and optimize connectivity issues between AI clients/agents and Azure, Snowflake, and other downstream systems.
Governance, Compliance, and Best Practices
  • Establish guardrails for AI usage, including data classification, allowed data domains, and acceptable use of AI within the environment.
  • Document and enforce standards, patterns, and reusable components for AI integrations across teams.
  • Support audits and risk assessments by providing clear documentation around data flows, access controls, and AI system behavior.
  • Configure and manage MCP servers for Microsoft 365 and Azure to support agent and developer access to enterprise content.
  • Work with collaboration and productivity teams to integrate AI agents with M365 tools (e.g., SharePoint, Teams, OneDrive) under strict governance and compliance policies.
  • Define policies and access controls for how agents and developers can interact with M365 and Azure resources via MCP.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Solid hands‑on experience with Microsoft Azure (e.g., Azure Data services, networking, security, identity).
  • Practical experience with Snowflake (data modeling, security, roles, governance, integrations).
  • Proven experience enabling or integrating AI/ML systems with enterprise data platforms (e.g., LLMs, AI agents, or similar architectures).
  • Strong understanding of access control, security, and governance concepts (RBAC, ABAC, encryption, key management, data privacy).
  • Experience implementing APIs, microservices, or integration frameworks to connect applications and services.
  • Familiarity with infrastructure-as-code (e.g., Terraform, Bicep, ARM templates) and DevOps/CI-CD practices.
  • Experience with Model Context Protocol (MCP) concepts, agent frameworks, or similar context/connector architectures.
  • Hands‑on work with AI platforms such as Azure OpenAI, Azure AI Studio, or other LLM platforms.
  • Experience integrating with Microsoft 365 (SharePoint, Teams, OneDrive, Outlook) from applications or services.
  • Familiarity with data governance tools and frameworks (e.g., Purview, Collibra, Alation) and enterprise identity (Entra ID / Azure AD).
  • Background in enterprise security, compliance, or regulated industries (e.g., finance, healthcare, public sector).
  • Security‑first mindset, able to balance usability and risk controls.
  • Stakeholder management: comfortable working with security, data, infra, and product teams.

Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate. Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.

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