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Ai Platform Jobs (NOW HIRING)

USALCO

AI Platform Engineer

Baltimore, MD · Remote

The AI Platform Engineer is responsible for designing, building, and operationalizing the organization's AI platform capabilities across cloud infrastructure, enterprise systems, and customer-facing ...

Kimley-Horn

AI Platform Engineer

Dallas, TX

Overview Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. Responsibilities In this role, you will help build and maintain the ...

SilverEdge

AI Platform Engineer

Columbia, MD

We are seeking an AI Platform Engineer to join our dynamic team. This individual will play a pivotal role in developing innovative and effective solutions for our DoD customers within the IC sector.

Cynet Systems

AI Platform Architect

Nashville, TN

AI Platform Architect Job Location: Nashville, TN Job Type: Contract Job Overview: Requirement/Must Have: * Strong production experience delivering Generative AI applications in enterprise or ...

New

Apex Systems

AI Platform Engineer

Madison, WI · Remote

$60 - $85/hr

Job#: 3030091 AI Platform Engineer Location: Madison, Wisconsin (Partial Remote) Employment Type: Contract to Perm Role Overview The AI Platform Engineer leads the design, build, and operation of ...

Kimley-Horn

AI Platform Engineer

Dallas, TX

Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. In this role, you will help build and maintain the AI platform foundation that ...

Kimley-Horn

AI Platform Engineer

Dallas, TX

Overview Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. Responsibilities In this role, you will help build and maintain the ...

Kimley-Horn

AI Platform Engineer

Dallas, TX · On-site

Overview Kimley-Horn is looking for an AI Platform Engineer to join our Dallas, Texas (TX) office! This is not a remote position. Responsibilities In this role, you will help build and maintain the ...

SilverEdge

AI Platform Engineer

Columbia, MD · On-site

We are seeking an AI Platform Engineer to join our dynamic team. This individual will play a pivotal role in developing innovative and effective solutions for our DoD customers within the IC sector.

SymphonyAI

AI Platform Architect

Albany, NY · On-site

The AI Architect will define reference architectures, select platforms and tools, and guide teams in building production-grade AI systems across the enterprise. Key Responsibilities Platform ...

Graphcore

AI Platform Architect

Austin, TX · On-site

Job Summary We are seeking for a visionary AI Platform Architect to design and oversee the comprehensive infrastructure stack that powers our most demanding distributed AI workloads. Moving beyond ...

Usalco

AI Platform Engineer

Usalco is seeking an AI Platform Engineer responsible for designing, building, and operationalizing the organization's AI platform capabilities. This role involves collaborating with various teams to ...

Graphcore

AI Platform Architect

Austin, TX · On-site

The AI Platform Architect will design and oversee a cohesive infrastructure stack for demanding distributed AI workloads, ensuring optimal performance across hardware, software, compute, network, and ...

Graphcore

AI Platform Architect

Austin, TX

Job Summary We are seeking for a visionary AI Platform Architect to design and oversee the comprehensive infrastructure stack that powers our most demanding distributed AI workloads. Moving beyond ...

Mortenson

AI Platform Engineer

Minneapolis, MN · On-site

The AI Platform Engineer will design, build, and maintain the infrastructure for AI solutions, ensuring scalable and secure platforms for model deployment and experimentation. Responsibilities : • ...

Mortenson

AI Platform Engineer

Minneapolis, MN · On-site

$85.30K - $128K/yr

AI Platform Engineer SUMMARY The AI Platform Engineer designs, builds, and maintains the infrastructure that powers Mortenson's AI solutions. This role ensures scalable, secure, and high-performing ...

CYNET SYSTEMS

AI Platform Architect

Nashville, TN · On-site

$60/hr

Deep hands-on expertise with Google Cloud Platform Vertex AI and Gemini models. * Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. * Experience ...

New

TELCOR Inc

AI Platform Engineer

$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 ...

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All JobsAi Platform Jobs

Ai Platform information

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$30

$62

$91

How much do ai platform jobs pay per hour?

As of May 30, 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 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 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 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 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.

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.

More about Ai Platform jobs
What cities are hiring for Ai Platform jobs? Cities with the most Ai Platform job openings:
What states have the most Ai Platform jobs? States with the most job openings for Ai Platform jobs include:
What job categories do people searching Ai Platform jobs look for? The top searched job categories for Ai Platform jobs are:
Ai Platform jobs near you
Infographic showing various Ai Platform job openings in the United States as of May 2026, with employment types broken down into 51% Full Time, 44% Part Time, 1% Temporary, and 4% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $129,011 per year, or $62 per hour.
AI Platform Engineer

AI Platform Engineer

USALCO

Baltimore, MD • Remote

Full-time

Posted 17 days ago

USALCO rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

39th of 88 rated chemical manufacturers

Job description

The AI Platform Engineer is responsible for designing, building, and operationalizing the organization's AI platform capabilities across cloud infrastructure, enterprise systems, and customer-facing digital platforms. This role serves as a technical leader within the IT organization and partners closely with Digital Development, Enterprise Systems, Operations, and business stakeholders to create scalable, secure, and reusable AI-enabled platform services that enhance both internal operations and external digital user experiences.

A core function of this role is establishing and evolving the organization's AI Service Layer and supporting platform architecture including AI orchestration services, reusable APIs, customer-specific deployment models, and scalable cloud-native platform services—while ensuring scalability, maintainability, operational reliability, and security across environments.

This role bridges AI engineering, cloud architecture, SaaS platform engineering, DevOps collaboration, and enterprise data enablement to ensure AI capabilities can be consistently deployed, integrated, governed, and scaled across both enterprise operations and customer-facing digital platform experiences. This is a REMOTE position.

RESPONSIBILITIES

AI Platform Architecture & Engineering: Design, develop, and maintain reusable AI platform services and infrastructure components that support enterprise AI initiatives and customer-facing digital platforms, including AI APIs, orchestration services, retrieval-augmented generation (RAG) pipelines, prompt management, vector search capabilities, model integration frameworks, and reusable backend AI services.

Digital Platform AI Enablement: Design and implement AI capabilities that enhance customer-facing digital platforms and SaaS applications, including intelligent workflows, conversational interfaces, recommendation systems, predictive insights, automation services, and AI-assisted user experiences. Partner closely with frontend, backend, and UX teams to ensure AI capabilities are seamlessly integrated into unified digital platform experiences.

AI Service Layer Development: Build and maintain a centralized AI Service Layer that standardizes how enterprise systems, digital platforms, and SaaS applications consume AI capabilities, ensuring reusable patterns for model access, prompt orchestration, logging, security, governance, and scalable AI integration across customer-facing and internal solutions.

Enterprise Data & AI Enablement: Partner closely with Data Integrations Engineering and Enterprise Systems teams to ensure enterprise data assets are accessible, structured, secure, normalized, and optimized for AI and analytics workloads across both internal and customer-facing systems.

SaaS Platform Architecture & Deployment Support: Support scalable multi-tenant and customer-specific SaaS deployment models, including customer environment provisioning standards, AI service deployment architecture, database isolation strategies, deployment automation, and platform scalability best practices.

Technical Leadership & Cross-Functional Collaboration: Collaborate closely with DevOps, Backend Engineering, Data Integrations, Enterprise Systems, Frontend Development, and UI/UX teams to define scalable AI integration standards, reusable AI-enabled development patterns, and AI platform best practices across the organization. Partner with business departments including Operations, Sales, R&D, and other functional teams to identify opportunities for AI-enabled process improvement, intelligent automation, predictive insights, and enhanced digital platform capabilities that align with organizational objectives and operational needs.

QUALIFICATIONS
The successful candidate will have significant experience designing and operationalizing scalable cloud-based AI and platform engineering solutions, with the ability to bridge AI systems, cloud infrastructure, SaaS platform architecture, enterprise data integration, and customer-facing digital experiences.

Specifically, the candidate should have:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or related field.
  • 5+ years of experience in AI engineering, machine learning engineering, AI platform development, or related technical roles.
  • Demonstrated experience building and deploying AI-enabled applications, AI services, or customer-facing AI capabilities in production environments.
  • Strong proficiency in Python, SQL, REST APIs, and AI service development.
  • Experience designing and deploying AI/ML services using Azure, Anthropic, vector databases, or related AI tooling.
  • Experience integrating AI capabilities into customer-facing web applications, SaaS products, or digital platform experiences.
  • Familiarity with scalable SaaS application architectures, API integration patterns, and AI orchestration workflows.
  • Familiarity with relational databases, secure data access concepts, and customer-aware data architectures.
  • Strong analytical, systems-thinking, and problem-solving capabilities.
  • Ability to clearly communicate technical concepts and AI solution designs to both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively within cross-functional teams including Backend Engineering, Frontend Development, DevOps, Data Integrations, and UI/UX.
  • Willingness to travel occasionally (approximately 10%).

PREFERRED

  • Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or related field.
  • Experience building enterprise AI service layers, AI orchestration platforms, or reusable AI-enabled application services.
  • Experience integrating AI capabilities into customer-facing SaaS applications or digital platform experiences.
  • Experience with Azure AI Services, Azure Functions, Azure SQL, Azure Data Factory, Event Grid, Service Bus, or related Azure platform services.
  • Experience working within scalable SaaS application environments and customer-aware deployment models.
  • Experience with observability, monitoring, logging, and operational support for AI-enabled services.
  • Experience implementing secure AI governance, model access controls, and operational AI best practices.
  • Experience mentoring engineers or providing technical leadership across cross-functional development teams.
  • Relevant Azure, AI, or cloud-related certifications.

USALCO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future.

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