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Ai Platform Jobs (NOW HIRING)

TELCOR Inc

AI Platform Engineer

Lincoln, NE · On-site +1

$125K - $165K/yr

AI Platform Engineer TELCOR Inc, a leading innovator in laboratory software, is looking for a AI Platform Engineer to join our TELCOR AI Systems team! This role is ideal for a product-minded engineer ...

Cornelis Networks

AI Platform Engineer

Austin, TX · On-site +1

You will help build and expand a private, secure AI platform for our engineering organization, including a growing workforce of AI agents that automate meaningful engineering work. These capabilities ...

Notable

AI Platform Architect

San Mateo, CA · On-site

$120K - $150K/yr

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care ...

Notable

AI Platform Engineer

San Mateo, CA · On-site

$170K - $205K/yr

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care ...

Troon

AI Platform Architect

Scottsdale, AZ · On-site

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...

Troon Golf

AI Platform Architect

Scottsdale, AZ · On-site

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...

Aalo Atomics

AI Platform Architect

Austin, TX · On-site

About the role We're hiring an AI Platform Engineer to maintain, evolve, and continuously improve the horizontal systems that make AI usable, secure, and scalable across the company. At Aalo, AI is ...

Gormat

SETA AI Platform Engineer

Annapolis Junction, MD · On-site

$191K - $206K/yr

We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role you will get to advise and support the design, integration, and maturation of AI-enabling infrastructure ...

Gormat

SETA AI Platform Engineer

Annapolis Junction, MD · On-site

$191K - $206K/yr

We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role you will get to advise and support the design, integration, and maturation of AI-enabling infrastructure ...

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How much do ai platform jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai platform in the United States is $62.02, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Ai Platform vs Data Scientist?

AspectAi PlatformData Scientist
Required CredentialsTypically requires knowledge of AI tools, cloud platforms, and programming languages like Python or RRequires degrees in data science, statistics, or related fields, with skills in programming, statistics, and data analysis
Work EnvironmentWorks mainly with cloud services, AI development tools, and cross-functional teams in tech or enterprise settingsWorks with data sets, statistical models, and visualization tools, often in research or business analytics teams
Employer & Industry UsageUsed in tech companies, AI startups, and enterprises deploying AI solutionsEmployed across industries like finance, healthcare, marketing, and research organizations

While both roles involve working with data and AI, an Ai Platform focuses on developing and managing AI infrastructure and tools, whereas a Data Scientist analyzes data to generate insights and build models. Understanding these differences helps in choosing the right career path or job focus.

What is an AI platform?

An AI Platform is a comprehensive environment or suite of tools designed to support the development, deployment, and management of artificial intelligence (AI) models and applications. These platforms provide resources such as data storage, processing power, machine learning frameworks, and APIs, enabling developers and data scientists to build, train, test, and scale AI solutions efficiently. Many AI platforms also offer collaboration features, automated workflows, and integration with cloud services to streamline the AI lifecycle. Popular examples include Google AI Platform, Microsoft Azure AI, and Amazon SageMaker.

Can I get an AI platform job with no experience?

Entry-level AI platform roles often require some knowledge of programming, machine learning concepts, or related tools, but many companies offer internships or training programs for candidates with minimal experience. Building skills through online courses, certifications, and hands-on projects can improve your chances of qualifying for such positions. Having a strong foundation in programming languages like Python and understanding AI frameworks can be beneficial.

What are some common challenges faced by professionals working on AI platforms, and how can they be addressed?

Professionals working on AI platforms often encounter challenges such as integrating diverse data sources, ensuring model scalability, and maintaining data privacy and security. Balancing rapid development with robust testing and compliance requirements is also a frequent hurdle. These challenges can be addressed by adopting modular architectures, utilizing automated testing pipelines, and staying up-to-date with data governance best practices. Collaboration with data engineers, security teams, and stakeholders is essential to ensure solutions are reliable, scalable, and compliant.

What are the key skills and qualifications needed to thrive as an AI platform engineer?

To thrive as an AI Platform Engineer, you need strong software engineering skills, experience with machine learning frameworks, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Google Cloud, or Azure), containerization tools (like Docker and Kubernetes), and data pipeline technologies is typically required. Excellent problem-solving abilities, collaboration, and effective communication are vital soft skills in this role. These competencies ensure robust, scalable AI systems and seamless integration across multidisciplinary teams.

What jobs can I get working with AI?

Jobs working with AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch, often with relevant certifications or advanced degrees. AI professionals develop, implement, and optimize AI models across various industries, including technology, healthcare, finance, and automotive sectors.
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Ai Platform jobs near you
Infographic showing various Ai Platform job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $129,011 per year, or $62 per hour.

AI Platform Engineer

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

57th of 301 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
P&C IT Services provides professional services to help our business units and corporate functions use technology to create, manage, and optimize information and business processes. IT Services can include a wide range of activities such as: software development, data management, Cloud services, IT security, network security, technical support, establishing and overseeing access rights, procuring and maintaining equipment or software, managing the infrastructure, and defining security procedures, The overall goal of IT Services is to provide technology solutions that increase efficiency, reduce costs, and give our company a competitive advantage over our competitors.
Great American's culture is built on connection, shared learning, and strong relationships. This is a hybrid role that combines in-office and remote work. Employees are expected to maintain a meaningful on-site presence to support collaboration, relationship building, and business success.
The AI Platform Engineer is a hands-on engineering role building and operating the enterprise AI platform that powers our Software Developer, Data Scientist, and Knowledge Worker communities. You will design, implement, and run the platform services that make LLMs, RAG systems, and MCP servers safely consumable across the enterprise.
You will work inside a small, high-leverage platform team where code quality, automation, and operational excellence are the expectation, not the goal. You will report to the AI Platform Delivery Leader.
What You'll Own
Platform Engineering
  • Build and maintain core platform services including the LLM gateway, model registry, RAG pipelines, vectorization services, and MCP server infrastructure.
  • Implement AI Foundry-based capabilities and integrate them with existing enterprise platforms (API gateway, IAM, observability, ECM).
  • Develop reusable Python and/or Java libraries, SDKs, and golden-path templates that let consumers onboard in under an hour.
  • Own the automation that provisions access, onboards models, runs compliance checks, and emits telemetry, so platform scale is never gated by team size.

RAG and Vectorization
  • Design and operate retrieval pipelines including chunking, embedding, vector store management, re-ranking, and evaluation.
  • Tune retrieval quality against real consumer workloads and publish evaluation harnesses that let consumers measure their own RAG implementations.
  • Integrate vectorization services with the ECM system and other enterprise data sources under the governance controls defined by the platform.

MCP and Agent Infrastructure
  • Build, host, and operate MCP servers that expose enterprise capabilities safely to LLM consumers.
  • Implement the authentication, authorization, rate limiting, and audit patterns that make MCP usage enterprise-ready.
  • Partner with consuming teams to define and publish the MCP contracts the platform supports.

DevOps and Operations
  • Treat the platform as a product: CI/CD pipelines, IaC, automated testing, progressive delivery, and full observability are table stakes.
  • Own the on-call rotation for the services you build. Write the runbooks, automate the toil, and drive incident postmortems to real fixes.
  • Build safety, governance, and compliance controls into the pipeline so they are enforced by default, not added later.

What You Bring
  • 5+ years of software engineering experience with a strong development background. You write production code, not just scripts.
  • Hands-on experience with AI Foundry (or equivalent enterprise AI platforms) including model deployment, evaluation, and lifecycle management.
  • Practical experience building RAG systems end-to-end: embeddings, vector databases (e.g., pgvector, Pinecone, Weaviate, Azure AI Search), retrieval tuning, and evaluation.
  • Working knowledge of MCP server implementation and the patterns for exposing tools and data to LLMs safely.
  • Strong DevOps practice: Git-based workflows, CI/CD pipelines, containers, Kubernetes, IaC (Terraform or equivalent), and observability tooling.
  • Familiarity with LLM APIs, prompt engineering, token economics, and the failure modes of production LLM systems.
  • Security and governance instincts: you assume every endpoint will be attacked and every model call will be audited.
  • Platform engineering mindset: you build self-service capabilities with golden paths, not bespoke solutions for each consumer.
  • Prefer familiarity with the P&C Insurance industry

How You'll Be Measured
  • Reliability and performance of the platform services you own.
  • Time-to-value for consumers onboarding to RAG, MCP, and LLM gateway capabilities.
  • Automation coverage and reduction in manual operational work over time.
  • Quality of retrieval and agent infrastructure as measured by consumer evaluation results.
  • Code quality, test coverage, and operational maturity of the services you ship.

Business Unit:
Property & Casualty IT Services
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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