CrawlJobs Logo
Aramark Logo Aramark · IT - Software Development

Ai Platform Engineer

United States, Philadelphia · Job Posted May 15, 2026
Apply Position
Job Link Share

Job Description

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while partners closely with business stakeholders and other engineers to translate real-world problems into scalable, well-governed technical solutions. The ideal candidate operates comfortably at the intersection of stakeholders, developers, and intelligent systems—writing code, troubleshooting issues, collaborating with product partners, and expanding into AI engineering and responsible AI governance.

Job Responsibility

  • Partner with business stakeholders to gather, analyze, and document functional and technical requirements
  • Translate business use cases into clear, actionable engineering requirements
  • Act as a bridge between business users and engineering teams
  • Design, develop, and maintain data pipelines, integrations, and backend services
  • Design and implement AI-enabled solutions such as Agentic AI workflows, MCP servers, LLM integrations, RAG pipelines
  • Debug and resolve issues across application, data, and AI layers
  • Participate in technical design reviews and AI architecture discussions
  • Improve reliability, performance, and maintainability of AI-driven platforms
  • Help implement AI governance capabilities
  • Continuously learn new tools and frameworks

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
  • 2-4 years of professional software engineering experience
  • Hands-on experience with Python or Java in production environments
  • Solid understanding of database concepts, SQL, and data modeling
  • Experience or demonstrated capability in AI-related development
  • Excellent communication skills across technical and non-technical audiences

Nice to have

  • Experience in a hybrid role combining business analyst and software development
  • Experience with AI platforms, SDKs, or frameworks (e.g., Palantir Foundry)
  • Familiarity with prompt evaluation, guardrails, and AI observability
  • Experience designing AI systems with security, governance, and compliance in mind
  • Background in data engineering, analytics platforms, or cloud-native architectures

What we offer

  • medical
  • dental
  • vision
  • work/life resources
  • retirement savings plans like 401(k)
  • paid days off such as parental leave and disability coverage
Aramark - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Ai Platform Engineer

8 matching positions

Ai Platform Engineer

We are looking for an Artificial Intelligence (AI) Platform Engineer to support ...
Location
Location
United States , Marysville
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building and supporting AI or machine learning platforms in a cloud-based enterprise environment
  • Hands-on knowledge of machine learning concepts and AI solution delivery, including model integration and operational support
  • Proficiency with TensorFlow and related tools used for developing or deploying AI applications
  • Experience working with computer vision or detection-based solutions in production or large-scale environments
  • Strong understanding of APIs, infrastructure automation, and platform engineering best practices
  • Ability to monitor, troubleshoot, and optimize distributed systems for reliability, security, and performance
  • Experience collaborating with cross-functional technical teams to deliver reusable and scalable platform capabilities
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 2–5 years of experience in software or cloud engineering
Job Responsibility
Job Responsibility
  • Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments
  • Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently
  • Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale
  • Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort
  • Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs
  • Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability
  • Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability
  • Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls
What we offer
What we offer
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Ai Platform Engineer

As an AI Platform Engineer within the domain, you will play a key role in buildi...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills in Python
  • Hands-on experience with Databricks (workflows, notebooks, clusters)
  • Proven experience in AI/ML engineering or platform engineering environments
  • Experience with MLOps practices (CI/CD, model deployment, monitoring)
  • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP)
  • Experience working in complex, regulated environments is a plus
Job Responsibility
Job Responsibility
  • Design, build, and enhance central AI platform capabilities used by multiple AI teams
  • Develop and maintain reusable platform services for model development, deployment, and monitoring
  • Enable and support AI teams in engineering best practices, tooling, and platform usage
  • Collaborate with data scientists and ML engineers to productionize machine learning models
  • Improve platform reliability, scalability, and performance within a cloud-based ecosystem
  • Contribute to automation, CI/CD pipelines, and MLOps practices
  • Ensure compliance with security, risk, and regulatory standards within the banking environment
  • Fulltime
Read More
Arrow Right

AI Platform Engineer

As an AI Platform Engineer within the domain, you will play a key role in buildi...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills in Python
  • Hands-on experience with Databricks (workflows, notebooks, clusters)
  • Proven experience in AI/ML engineering or platform engineering environments
  • Experience with MLOps practices (CI/CD, model deployment, monitoring)
  • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP)
  • Experience working in complex, regulated environments is a plus
Job Responsibility
Job Responsibility
  • Design, build, and enhance central AI platform capabilities used by multiple AI teams
  • Develop and maintain reusable platform services for model development, deployment, and monitoring
  • Enable and support AI teams in engineering best practices, tooling, and platform usage
  • Collaborate with data scientists and ML engineers to productionize machine learning models
  • Improve platform reliability, scalability, and performance within a cloud-based ecosystem
  • Contribute to automation, CI/CD pipelines, and MLOps practices
  • Ensure compliance with security, risk, and regulatory standards within the banking environment
  • Fulltime
Read More
Arrow Right

AI Platform Engineer

As an AI Platform Engineer within the domain, you will play a key role in buildi...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills in Python
  • Hands-on experience with Databricks (workflows, notebooks, clusters)
  • Proven experience in AI/ML engineering or platform engineering environments
  • Experience with MLOps practices (CI/CD, model deployment, monitoring)
  • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP)
  • Experience working in complex, regulated environments is a plus
Job Responsibility
Job Responsibility
  • Design, build, and enhance central AI platform capabilities used by multiple AI teams
  • Develop and maintain reusable platform services for model development, deployment, and monitoring
  • Enable and support AI teams in engineering best practices, tooling, and platform usage
  • Collaborate with data scientists and ML engineers to productionize machine learning models
  • Improve platform reliability, scalability, and performance within a cloud-based ecosystem
  • Contribute to automation, CI/CD pipelines, and MLOps practices
  • Ensure compliance with security, risk, and regulatory standards within the banking environment
  • Fulltime
Read More
Arrow Right

Ai Platform Engineer

As an AI Platform Engineer within the domain, you will play a key role in buildi...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong programming skills in Python
  • Hands-on experience with Databricks (workflows, notebooks, clusters)
  • Proven experience in AI/ML engineering or platform engineering environments
  • Experience with MLOps practices (CI/CD, model deployment, monitoring)
  • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP)
  • Experience working in complex, regulated environments is a plus
Job Responsibility
Job Responsibility
  • Design, build, and enhance central AI platform capabilities used by multiple AI teams
  • Develop and maintain reusable platform services for model development, deployment, and monitoring
  • Enable and support AI teams in engineering best practices, tooling, and platform usage
  • Collaborate with data scientists and ML engineers to productionize machine learning models
  • Improve platform reliability, scalability, and performance within a cloud-based ecosystem
  • Contribute to automation, CI/CD pipelines, and MLOps practices
  • Ensure compliance with security, risk, and regulatory standards within the banking environment
  • Fulltime
Read More
Arrow Right

AI Platform Engineer

As an AI Platform Engineer on the Enterprise AI team, you will play a critical r...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7-10 years’ experience required of software engineering, fluency in .NET, Python or Java
  • Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience
  • Understanding of machine learning, deep learning, and statistical modelling
  • Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerisation using Docker and Kubernetes
  • Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow
Job Responsibility
Job Responsibility
  • Develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms
  • Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale
  • Implement robust, high-performance software systems with a focus on scalability, security, and efficiency
  • Lead technical initiatives in validation, deployment, and monitoring in real-world environments
  • Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools
  • Fulltime
Read More
Arrow Right

AI Platform Engineer

You are a platform or DevOps engineer with strong experience running complex sys...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience with Kubernetes in production and solid Linux systems knowledge
  • Hands-on experience with GPU infrastructure (e.g. NVIDIA A100/H100) and LLM/ML model serving
  • Experience with CI/CD tools (Azure DevOps, GitLab CI, Jenkins) and Python scripting
  • Familiarity with monitoring tools (Prometheus, Grafana) and infrastructure automation (Terraform, Ansible)
  • Experience in regulated environments or cost optimisation for high-performance workloads is a plus
  • We specifically need people who have worked with large language models and GPU-based inference at scale
Job Responsibility
Job Responsibility
  • Design, build, and maintain a scalable platform for serving LLM workloads in production
  • Deploy and manage containerised workloads on Kubernetes, including GPU-based infrastructure
  • Implement and optimise model serving solutions (e.g. vLLM, Triton, TGI)
  • Set up monitoring and observability using tools such as Prometheus and Grafana
  • Build and improve CI/CD pipelines and automate infrastructure using Python and Infrastructure as Code
Read More
Arrow Right

AI Platform Engineer

You are a platform or DevOps engineer with strong experience running complex sys...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
levy-professionals.com Logo
Levy Professionals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience with Kubernetes in production and solid Linux systems knowledge
  • Hands-on experience with GPU infrastructure (e.g. NVIDIA A100/H100) and LLM/ML model serving
  • Experience with CI/CD tools (Azure DevOps, GitLab CI, Jenkins) and Python scripting
  • Familiarity with monitoring tools (Prometheus, Grafana) and infrastructure automation (Terraform, Ansible)
  • Experience in regulated environments or cost optimisation for high-performance workloads is a plus
  • We specifically need people who have worked with large language models and GPU-based inference at scale
Job Responsibility
Job Responsibility
  • Design, build, and maintain a scalable platform for serving LLM workloads in production
  • Deploy and manage containerised workloads on Kubernetes, including GPU-based infrastructure
  • Implement and optimise model serving solutions (e.g. vLLM, Triton, TGI)
  • Set up monitoring and observability using tools such as Prometheus and Grafana
  • Build and improve CI/CD pipelines and automate infrastructure using Python and Infrastructure as Code
Read More
Arrow Right