ai platform engineer

Orange Business

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Join us at Orange Business!
 <br/>
 <br/>
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 <br/>
 <br/>
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Your day-to-day missions
  </li>
  <li>
   You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
  </li>
  <li>
   You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
  </li>
  <li>
   You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
  </li>
  <li>
   You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
  </li>
  <li>
   You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
  </li>
  <li>
   Occasional missions and example projects
  </li>
  <li>
   You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
  </li>
  <li>
   You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
  </li>
  <li>
   You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
  </li>
  <li>
   Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
  </li>
  <li>
   Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
  </li>
  <li>
   Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
  </li>
  <li>
   The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
  </li>
  <li>
   Your hard skills
  </li>
  <li>
   Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
  </li>
  <li>
   Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
  </li>
  <li>
   Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
  </li>
  <li>
   Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
  </li>
  <li>
   Understanding of security, reliability and performance considerations for production platforms.
  </li>
  <li>
   Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
   <br/>
   <br/>
  </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
  </li>
  <li>
   Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
  </li>
  <li>
   Professional Development: training programs and upskilling/re-skilling opportunities.
  </li>
  <li>
   Career Growth: Internal growth and mobility opportunities within Orange.
  </li>
  <li>
   Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
  </li>
  <li>
   Reward Programs: Employee Referral Program, Change Maker Awards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Only Your Skills Matter
  <br/>
  <br/>
 </strong>
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>


AI Platform Engineer

University of Virginia

<div></div><div><div><div><div>Location</div>
 <div></div>Charlottesville, Virginia, United States of America
 </div></div><div></div><div><div>The Rector &amp; Visitors of the University of Virginia
</div></div><div><div><div>Job Id</div>
 <div></div>R0082323</div></div></div>
<br><p></p><div><div><b>Department Overview</b></div><p>
UVA Information Technology Services (ITS) does more than support the UVA community &mdash; we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.</p><div><b>
Position Summary</b></div><p>
UVA Information Technology Services is seeking an AI Platform Engineer to help build, integrate, and support enterprise AI services for the University.</p><p>
This role is focused on turning AI capabilities into real services people can use. The engineer in this position will help design and operate secure, scalable, and supportable AI platform offerings that fit into the way UVA works. That includes identity and access, automation, governance, cloud integration, operational readiness, and user enablement.</p><p>
The AI Platform Engineer will work across public cloud platforms, enterprise applications, and emerging AI products to move new capabilities from pilot to production. This role partners closely with teams across enterprise infrastructure, security, identity, ITSM, and other ITS and University stakeholders.</p><p></p><p><b>
This is a 2 year limited role contingent on funding
</b></p><p></p><div><b>Responsibilities</b></div><ul><li>
Design, implement, support, and improve enterprise AI platforms and services</li><li>
Build and maintain the technical foundations for AI services, including access, provisioning, automation, logging, monitoring, and operational readiness</li><li>
Support AI-related engineering across UVA&rsquo;s cloud and enterprise technology environments</li><li>
Develop reusable patterns for onboarding, integration, access control, lifecycle management, and service delivery</li><li>
Build automation and infrastructure-as-code to improve consistency and scale</li><li>
Support evaluation, pilot, rollout, and ongoing operations for AI platform capabilities and integrations</li><li>
Produce technical documentation, runbooks, knowledge articles, and reference materials</li></ul><div><b>
Minimum Qualifications</b></div><p><b>
Education:</b><br>
Bachelor&rsquo;s degree in computer science, information systems, engineering, or a related field, or equivalent combination of education and experience</p><p><b>
Experience:</b></p><ul><li>
Demonstrated hands-on experience using large language models (LLMs) and generative AI platforms in technical, engineering, or operational work</li><li>
Experience implementing, integrating, supporting, or evaluating generative AI services in a production, pilot, or enterprise setting</li><li>
Experience with one or more AI platforms or services such as Microsoft Copilot Studio, Azure OpenAI, Azure AI services, Amazon Bedrock, Google AI services, OpenAI enterprise offerings, Anthropic/Claude, AI gateways, or similar technologies</li><li>
Experience with AI-related APIs, prompt-driven workflows, orchestration patterns, or platform integrations</li><li>
Experience supporting enterprise platforms, infrastructure, or cloud services in production environments</li><li>
Experience with one or more public cloud platforms such as Microsoft Azure, AWS, or GCP</li><li>
Experience with enterprise identity, authentication, access management, directory integration, or single sign-on</li><li>
Experience with scripting, automation, or infrastructure-as-code using tools such as Python, PowerShell, Bash, Terraform, Bicep, or similar technologies</li><li>
Strong troubleshooting, documentation, and cross-team collaboration skills</li></ul><p><b>
Licensure/Certification:</b><br>
None required</p><div><b>
Preferred Qualifications</b></div><p><b>
Education:</b><br>
Advanced degree in a related field preferred</p><p><b>
Experience:</b></p><ul><li>
Experience with shared-service delivery, platform operations, or service onboarding in a large and complex organization</li><li>
Experience integrating SaaS or enterprise applications, including app registration, enterprise app onboarding, SCIM, SSO, admin consent, or API-based integration</li><li>
Experience supporting developer enablement or AI-assisted engineering workflows</li><li>
Familiarity with higher education technology environments</li><li>
Experience balancing innovation with governance, operational maturity, and long-term supportability</li></ul><p><b>
Licensure/Certification:</b><br>
Relevant cloud or AI certifications preferred</p><div><b>
Physical Demands</b></div><p>
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.</p><div><b>
Salary Range</b></div><p>
$130,000-140,000</p><div><b>
Position Type &amp; Work Location</b></div><p>
Full-time, benefited position. Work location may be hybrid or remote in accordance with University policy and department needs.</p><div><b>
About UVA and the Community</b></div><p>
The University of Virginia, founded by Thomas Jefferson, is a premier public institution recognized for its commitment to excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community, rich history, and outstanding quality of life.</p><div><b>
Application Timeline</b></div><p>
Applications will be reviewed as received.</p><div><b>
Additional Requirements</b></div><p>
This position will not sponsor applicants for work visas. A background check will be conducted on the finalist.</p><p><b>
How to Apply</b></p><p>
Please apply online through Online and search for<b> R0082323</b>. Complete the application and upload the following <b>required</b> materials:</p><p><i>
Internal applicants may search and apply for jobs on the </i>UVA Internal Careers website<i>.</i></p><ul><li><p>
Cover letter</p></li><li><p>
Resume</p></li></ul><p><b>
Please note that multiple documents can be uploaded in the &ldquo;Resume&rdquo; box.</b> Applications that do not contain all required documents will not receive full consideration.</p><div><b>
Reference Check Process</b></div><p>
Reference checks will be completed via UVA&rsquo;s standardized process, which may include SkillSurvey.</p><div><b>
Contact</b></div><p>
For questions about this position, please contact Bill Crane at Xer5ff@virginia.edu</p><p></p><p><i>
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about </i><i>UVA&rsquo;s commitment to non-discrimination and equal opportunity employment</i><i>.</i></p></div>
<br><div><div><div><div><p><b>Company</b></p>
The Rector &amp; Visitors of the University of Virginia
</div></div></div><div><div><div><p><b>Hiring Type</b></p>
Full time</div></div></div></div>

Aspire, Jordan

<div>
 <p>
  We are looking for
  <strong>
   AI Platform Engineers
  </strong>
  to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <p>
  Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
 </p>
 <p>
  Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
 </p>
 <p>
  Create developer tooling and documentation that makes integration with your services intuitive and easy;
 </p>
 <p>
  Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
 </p>
 <p>
  Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 </p>
 <p>
  Design, develop, and maintain scalable and performant APIs;
 </p>
 <p>
  Write clean, maintainable, and well-documented code;
 </p>
 <p>
  Participate in code reviews and provide and receive constructive feedback
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <p>
  <strong>
   What You&rsquo;ll Need
  </strong>
 </p>
 <ul>
  <li>
   Prior software engineering experience with API design and distributed system development;
  </li>
  <li>
   Strong experience building backend services and REST or GraphQL APIs;
  </li>
  <li>
   Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
  </li>
  <li>
   Understanding of LLM integration and usage patterns;
  </li>
  <li>
   Strong collaboration and written and verbal communication skills;
  </li>
  <li>
   Past experience with cloud infrastructure, preferably on AWS;
  </li>
  <li>
   Experience with Node.js or a desire to learn;
  </li>
  <li>
   Experience with TypeScript or a desire to learn;
  </li>
  <li>
   Background in developer tooling and API documentation is preferred.
  </li>
 </ul>
 <p>
 </p>
</div>


Fractal

<div>
 <p>
  <strong>
   AI and Data Platform Engineer
  </strong>
 </p>
 <p>
  Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work&reg; Institute and recognized as a &lsquo;Cool Vendor&rsquo; and a &lsquo;Vendor to Watch&rsquo; by Gartner.
 </p>
 <p>
  Please visit
  <strong>
   Fractal | Intelligence for Imagination
  </strong>
  for more information about Fractal.
 </p>
 <p>
 </p>
 <p>
  We are looking for a strong AI Engineer who thrives at the intersection of AI assisted development, data platform engineering, and high velocity delivery.
 </p>
 <p>
  This role focuses on delivering high‑quality, scalable, and governed data assets through spec‑driven development, AI‑enabled engineering workflows, and standardized data patterns. You will work closely with platform, DevOps, SRE, and analytics consumers to enable self‑service analytics while reducing operational toil through automation and reuse.
 </p>
 <p>
  This is a hands‑on engineering role for someone who enjoys modern data engineering, high engineering rigor, and rapid, AI‑accelerated delivery. You may need to work with PST overlapping hours.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Spec‑Driven &amp; AI‑Accelerated Data Engineering
  </strong>
 </p>
 <ul>
  <li>
   Deliver high‑quality data ingestion, transformation, and modeling solutions using Fabric and associated Azure services through spec‑driven development.
  </li>
  <li>
   Apply AI‑enabled development workflows using tools such as GitHub Copilot and LLM‑assisted coding to maximize development velocity without compromising quality.
  </li>
  <li>
   Translate business and analytics requirements into clear technical specifications, schemas, transformations, and acceptance criteria.
  </li>
  <li>
   Participate actively in automated reviews, AI‑assisted refactoring, and iterative improvements.
  </li>
 </ul>
 <p>
  <strong>
   Data Pipelines &amp; Modeling
  </strong>
 </p>
 <ul>
  <li>
   Build modular, reusable, and testable pipeline components aligned with standardized data patterns.
  </li>
  <li>
   Design and implement ingestion and transformation pipelines using Fabric‑native constructs (Lakehouse, Warehouse, Notebooks, Dataflows Gen2).
  </li>
  <li>
   Optimize transformations for scale, performance, and cost efficiency.
  </li>
  <li>
   Ensure pipelines are dependency‑aware, well‑orchestrated, and production‑ready.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Self‑Service Analytics Enablement
  </strong>
 </p>
 <ul>
  <li>
   Produce consumer‑ready, tested, and governed datasets to enable self‑service analytics for business and analytics users.
  </li>
  <li>
   Apply strong data modeling practices (relational, dimensional, and analytical models) to support reporting and insights.
  </li>
  <li>
   Ensure data quality through validation checks, reconciliations, and automated testing.
  </li>
  <li>
   Platform Collaboration &amp; Production Readiness
  </li>
  <li>
   Collaborate closely with DevOps, SRE, and QA engineers to ensure production readiness and operational reliability.
  </li>
  <li>
   Follow consistent CI/CD, testing, and release practices across environments.
  </li>
  <li>
   Support investigation and resolution of data issues by improving pipeline robustness and observability.
  </li>
 </ul>
 <p>
  <strong>
   Engineering Excellence &amp; Automation
  </strong>
 </p>
 <ul>
  <li>
   Participate in code and design reviews, upholding engineering standards for quality, performance, and maintainability.
  </li>
  <li>
   Build reusable data assets and automated workflows to reduce manual data support and operational effort.
  </li>
  <li>
   Continuously improve reliability, reusability, and maintainability of data solutions.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Qualifications &amp; Experience
   </u>
   : Core Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or related field
  </li>
  <li>
   4+ years of professional software, data, or AI engineering experience
  </li>
  <li>
   Strong hands-on experience with:
  </li>
  <li>
   SQL (advanced querying and optimization)
  </li>
  <li>
   Data modeling (relational, dimensional, and analytical models)
  </li>
  <li>
   Distributed data processing concepts
  </li>
  <li>
   AI Engineering &amp; Development Velocity
  </li>
  <li>
   Demonstrated experience using AI assisted development / vibe coding to accelerate delivery
  </li>
  <li>
   Comfort working from detailed specifications rather than exploratory coding alone
  </li>
  <li>
   Strong engineering discipline: clean code, modular design, automated testing
  </li>
  <li>
   Fabric &amp; Azure (Required / Strongly Preferred)
  </li>
 </ul>
 <p>
  <strong>
   Experience with strong exposure to:
  </strong>
 </p>
 <ul>
  <li>
   Lakehouse, Warehouse, Notebooks, Dataflows Gen2
  </li>
  <li>
   OneLake concepts
  </li>
 </ul>
 <p>
  <strong>
   Prior experience with:
  </strong>
 </p>
 <ul>
  <li>
   Databricks (Spark, notebooks, pipelines)
  </li>
  <li>
   Azure services such as ADLS, Azure SQL, Synapse
  </li>
  <li>
   Ability to translate Databricks patterns into Fabric native implementations
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Personal Attributes
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Forward thinking, self-starter mindset
  </li>
  <li>
   Strong problem solving and systems thinking skills
  </li>
  <li>
   Comfortable operating in ambiguity with clear specifications as the stabilizing force
  </li>
  <li>
   Passion for building end to end, production grade AI and data platforms
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay
  </strong>
 </p>
 <p>
  The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
  </em>
 </p>
 <p>
 </p>
</div>


AI Data Platform Engineer

JumpCloud

<div><div><b>All roles at JumpCloud&reg; are Remote unless otherwise specified in the Job Description.</b></div>
<h3 class="jobSectionHeader"><b>About JumpCloud&reg;</b></h3>
<div>JumpCloud&reg; is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.</div>
<div></div>
<h3 class="jobSectionHeader"><b>JumpCloud is Intelligent, Secure IT.</b></h3><div></div><h3 class="jobSectionHeader"><b><br>
About the Role</b></h3>
<p>
 JumpCloud is seeking a Senior Software Engineer to join our newly formed AI Platform team. As a founding member, you&rsquo;ll have a huge say in our technical direction and a chance to mentor others as we grow.</p>
<p>
You will bridge the gap between cutting-edge LLM research and production-grade engineering. Your mission is to design and build the end-to-end architecture for JumpCloud&rsquo;s AI platform&mdash;spanning model orchestration, tool integration, and real-time decision systems..This is a unique opportunity for an experienced and ambitious engineer to move beyond simple integration and build a scalable platform that empowers our entire engineering organization to ship agentic AI solutions solving real-world security and IT problems.</p><p></p><h3 class="jobSectionHeader"><b><br>
In this role, you will:
</b></h3><ul><li><p><b>Lead the Vision:</b> Drive the strategy, planning, and roadmap for our AI platform, identifying key opportunities to integrate AI into every stage of the product development lifecycle.</p>
</li>
<li><p><b>Architect and Build</b>: Design, develop, and maintain a robust and scalable AI platform. This includes creating and managing intelligent agents to automate tasks in areas such as requirements gathering, story creation, development, testing, CI/CD, and observability.</p>
</li>
<li><p><b>End-to-End Ownership</b>: Take full ownership of AI initiatives, from initial ideation and proof-of-concept to deployment, monitoring, and ongoing support.</p>
</li>
<li><p><b>Mentor and Collaborate</b>: Serve as a technical leader and mentor to other engineers, evangelizing AI best practices and collaborating with product managers, designers, and other engineering teams.</p>
</li>
<li><p><b>Drive Operational Excellence</b>: Ensure the AI platform is reliable, observable, and secure. Develop and maintain robust CI/CD pipelines, monitoring systems, and incident response protocols.</p>
</li>
<li><p><b>Customer-Centric Mindset</b>: Work closely with customer support and product teams to address customer escalations and use feedback to improve AI-driven solutions.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>You have:
</b></h3><div><ul><li><p><b>6-8+ years of experience</b> in software engineering, with a significant focus on building and scaling platforms.</p>
</li>
<li><p><b>Deep Expertise in AI</b>: Proven experience in designing, building, and deploying machine learning models and AI-driven systems in a production environment.</p>
</li>
<li><p><b>Platform Engineering</b>: Strong background in platform engineering, including building reusable services, APIs, and infrastructure to support multiple teams.</p>
</li>
<li><p><b>Full-Stack Proficiency</b>: Experience across the entire software development lifecycle, from requirements gathering and design to development, testing, and deployment.</p>
</li>
<li><p><b>Agent-Based Systems</b>: Hands-on experience creating and managing intelligent agents or similar automated systems to perform specific tasks.</p>
</li>
<li><p><b>Cloud and DevOps</b>: Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and modern DevOps practices, including CI/CD, Infrastructure as Code (IaC), and observability tools.</p>
</li>
<li><p><b>Strong Communication</b>: Excellent communication and collaboration skills, with the ability to influence technical and business strategy.</p>
</li>
<li><p><b>Problem-Solving</b>: A pragmatic and innovative problem-solver who can navigate ambiguity and deliver high-quality solutions.</p>
</li>
</ul></div><h6 class="jobSectionHeader"><b>#LI-MS1</b></h6><div></div><div><b><br>
Where you&rsquo;ll be working/Location:</b></div>
<div>JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.</div>
<div></div>
<div><b>This role is remote in the country of Turkey / T&uuml;rkiye. You must be located in and authorized to work in Turkey / T&uuml;rkiye to be considered for this role.
</b></div>
<div></div><div><b>Language:
</b></div><div>JumpCloud&reg; has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud&reg;, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description.</div>
<div></div>
<div><b>Why JumpCloud?</b></div>
<div>If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud&reg; is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.
</div>
<div></div><div>One of JumpCloud&reg;'s three core values is to &ldquo;Build Connections.&rdquo; To us that means creating &quot; human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.&quot; - Rajat Bhargava, CEO</div>
<div></div>
<div>Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud&reg;. Please note JumpCloud&reg; is not accepting third party resumes at this time.
</div>
<div></div><div>JumpCloud&reg; is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div>
<div></div>
<div><b>Scam Notice:</b></div>
<div>Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.</div>
<div></div>
<div>All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line &quot;Scam Notice&quot;</div>
<div></div>
<div>#LI-Remote #BI-Remote</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.</p></div>

Senior Software Engineer, AI Platform - Türkiye

<div><div><b>All roles at JumpCloud&reg; are Remote unless otherwise specified in the Job Description.</b></div>
<h3 class="jobSectionHeader"><b>About JumpCloud&reg;</b></h3>
<div>JumpCloud&reg; is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.</div>
<div></div>
<h3 class="jobSectionHeader"><b>JumpCloud is Intelligent, Secure IT.</b></h3><div></div><h3 class="jobSectionHeader"><b><br>
About the Role</b></h3>
<p>
As a Software Engineer, AI Platform, you will be a founding member of our new AI Platform team, playing a pivotal role in shaping the future of AI at JumpCloud. This isn&rsquo;t about just plugging in an API and calling it a day&mdash;we&rsquo;re building a core platform that will allow every other team at JumpCloud to build smart, automated tools for our customers.</p>
<p>
You&rsquo;re someone who &quot;gets&quot; how AI works in the real world. You know that LLMs can be unpredictable, and you enjoy the challenge of building the systems (like memory, orchestration, and evaluation loops along with RAG and MCP servers) that make them reliable and scalable. As a member of this team, you&rsquo;ll have a huge say in our technical direction as we grow. If you love the idea of building something from scratch that actually helps IT admins solve messy, real-world problems, you&rsquo;ll fit right in.</p><p></p><h3 class="jobSectionHeader"><b><br>
In this role, you will:
</b></h3><div><ul><li><p>Design, develop, and implement highly scalable and reliable full-stack applications using Go, Python, Node.js, and relevant front-end frameworks.</p>
</li>
<li><p>Work extensively with AWS Cloud Services, including but not limited to EC2, S3, Lambda, DynamoDB, RDS, SQS, and SNS.</p>
</li>
<li><p>Manage and deploy containerized applications using Kubernetes, ensuring high availability and performance.</p>
</li>
<li><p>Collaborate with product managers, UX/UI designers, and other engineers to translate business requirements into technical solutions.</p>
</li>
<li><p>Write clean, maintainable, and well-documented code, adhering to best practices and coding standards.</p>
</li>
<li><p>Participate in code reviews, providing constructive feedback and ensuring code quality.</p>
</li>
<li><p>Troubleshoot and debug production issues, providing timely resolutions.</p>
</li>
<li><p>Contribute to the continuous improvement of our development processes and tools.</p>
</li>
<li><p>Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our products.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>You have:
</b></h3><div><ul><li><p><b>4-6 years of experience</b> in software engineering, with a significant focus on building and scaling platforms.</p>
</li>
<li><p><b>Deep Expertise in AI</b>: Proven experience in designing, building, and deploying machine learning models and AI-driven systems in a production environment.</p>
</li>
<li><p><b>Platform Engineering</b>: Strong background in platform engineering, including building reusable services, APIs, and infrastructure to support multiple teams.</p>
</li>
<li><p><b>Full-Stack Proficiency</b>: Experience across the entire software development lifecycle, from requirements gathering and design to development, testing, and deployment.</p>
</li>
<li><p><b>Agent-Based Systems</b>: Hands-on experience creating and managing intelligent agents or similar automated systems to perform specific tasks.</p>
</li>
<li><p><b>Cloud and DevOps</b>: Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and modern DevOps practices, including CI/CD, Infrastructure as Code (IaC), and observability tools.</p>
</li>
<li><p><b>Strong Communication</b>: Excellent communication and collaboration skills, with the ability to influence technical and business strategy.</p>
</li>
<li><p><b>Problem-Solving</b>: A pragmatic and innovative problem-solver who can navigate ambiguity and deliver high-quality solutions.</p>
</li>
</ul></div><h6 class="jobSectionHeader"><b>#LI-PD1</b></h6><div></div><div><b><br>
Where you&rsquo;ll be working/Location:</b></div>
<div>JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.</div>
<div></div>
<div><b>This role is remote in the country of Turkey / T&uuml;rkiye. You must be located in and authorized to work in Turkey / T&uuml;rkiye to be considered for this role.
</b></div>
<div></div><div><b>Language:
</b></div><div>JumpCloud&reg; has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud&reg;, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description.</div>
<div></div>
<div><b>Why JumpCloud?</b></div>
<div>If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud&reg; is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.
</div>
<div></div><div>One of JumpCloud&reg;'s three core values is to &ldquo;Build Connections.&rdquo; To us that means creating &quot; human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.&quot; - Rajat Bhargava, CEO</div>
<div></div>
<div>Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud&reg;. Please note JumpCloud&reg; is not accepting third party resumes at this time.
</div>
<div></div><div>JumpCloud&reg; is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div>
<div></div>
<div><b>Scam Notice:</b></div>
<div>Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.</div>
<div></div>
<div>All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line &quot;Scam Notice&quot;</div>
<div></div>
<div>#LI-Remote #BI-Remote</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.</p></div>

Software Engineer, AI Platform - Türkiye

The Vertex Companies LLC

<div><p><b>Description</b>
</p><p></p><h2 class="jobSectionHeader"><b>Company Description</b></h2><p><br>
The Vertex Companies, LLC (VERTEX) is a global $150M professional services firm that offers integrated forensic consulting, expert witness services, construction project advisory, and compliance and regulatory consulting to a myriad of markets and industries. Our brand purpose is to better outcomes for our clients, colleagues, and communities. Join us if you are looking for a career that offers you a chance to love what you do, continuously learn, and take pride in your work.</p><p></p><h2 class="jobSectionHeader"><b><br>
Job Description</b></h2><p><br>
Vertex is looking for a hands-on AI Engineer who wants to be part of a team to design and build an enterprise-grade AI platform from scratch, integrating enterprise systems, solving real problems, and delivering measurable outcomes. You&rsquo;ll work directly with the CTO to define, architect, and deploy AI solutions that transform how the business operates, from intelligent automation to agentic workflows. This is not a maintenance role, it is a ground-up build opportunity. If you&rsquo;re excited about real-world AI use cases (not just experiments), this is your opportunity.</p><br>
<h2 class="jobSectionHeader"><b>
Core Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
Work Product Creation, Project Management, Coordination with Team Members</b></h3><ul><li>
Design and implement scalable AI solutions tailored to real business problems, not prototypes that sit on the shelf.</li><li>
Evaluate and architect build vs. buy vs. hybrid AI strategies across platforms like OpenAI, Azure OpenAI, Claude, Glean, Microsoft Copilot, Box AI, Google Vertex AI, AWS Bedrock, Databricks, Hugging Face, and more.</li><li>
Build the enterprise AI architecture, including data pipelines, orchestration layers, and model integration.</li><li>
Build RAG-based systems, intelligent agents, automation and multi-step AI workflows.</li><li>
Design and implement MCP server integrations to unify enterprise data sources.</li><li>
Develop orchestration layers to coordinate LLMs, APIs, tools, and workflows.</li><li>
Implement semantic search, vector indexing, and knowledge retrieval systems.</li><li>
Automate business processes using AI-driven decisioning and workflows.</li><li>
Connect AI systems with platforms like Salesforce, Workday, ERP systems, Egnyte, Box, and other enterprise systems.</li><li>
Build robust API integrations and data pipelines to enable real-time AI use cases.</li><li>
Ensure seamless data accessibility across structured and unstructured sources.</li><li>
Integrate enterprise systems via API and MCP to unify data sets for AI applications, ensuring seamless connectivity and data accessibility across platforms.</li><li>
Evaluate model performance, accuracy, and hallucination risks.</li><li>
Build testing frameworks, benchmarks, and validation pipelines.</li><li>
Continuously improve output based on real user feedback and usage patterns.</li><li>
Work with cloud platforms (Azure, AWS, or GCP) to deploy scalable AI solutions.</li><li>
Ensure AI systems comply with SOC 2, GDPR, HIPAA and Company security policies.</li><li>
Translate business problems into AI-driven solutions with measurable ROI.</li><li>
Deliver improvements in efficiency, automation, and decision-making.</li><li>
Rapidly prototype, iterate, and productionize solutions that scale.</li></ul><p><br>
</p><h2 class="jobSectionHeader"><b>Qualifications &amp; Competencies</b></h2><ul><li>
Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.<ul><li>
4+ years of experience in AI engineering</li><li>
8+ years of overall experience in software engineering, architecture, data engineering and machine learning.</li></ul></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Knowledge &amp; Skills</b></h3><ul><li>
Hands-on experience with:<ul><li>
Python</li><li>
LLMs (OpenAI, Azure OpenAI, Claude, Gemeni, etc.)</li><li>
Vector databases</li><li>
Cloud platforms (Azure preferred; AWS or GCP acceptable)</li><li>
Prompt Engineering</li><li>
RAG, MCP, Indexing and integrations</li></ul></li><li>
Experience building AI solutions from ground up in self-hosted, custom LLMs, hybrid or off he shelfs solutions.</li><li>
Preferred experience in:<ul><li>
Enterprise AI implementations</li><li>
Document processing and knowledge systems</li><li>
Data pipelines and ETL</li><li>
MLOps / AI platform engineering</li><li>
Familiarity with Salesforce, Workday, or ERP integrations</li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Additional Information</b></h2><br>
At VERTEX, we invest in top talent with a highly competitive total compensation package designed to reward performance and support long-term success. Total compensation includes a base salary and a performance-based discretionary bonus program. Our comprehensive benefits package offers multiple healthcare and dental plan options, as well as company-paid Life Insurance, Short-Term Disability, and Long-Term Disability coverage&mdash;ensuring peace of mind for you and your family.<br>
<br>
We offer a 401(k) plan with immediate matching and full vesting, empowering employees to build financial security from day one. Additional benefits include Flexible Spending Accounts, a robust Employee Assistance Program, and a suite of exclusive perks that enhance everyday life.<br>
<br>
At The Vertex Companies, our salary ranges are intentionally designed to support meaningful career growth over time. These ranges allow employees to develop, expand their impact, and increase their earnings as they progress within their job level. A new hire&rsquo;s starting compensation is determined by their experience, geographical location, scope of the role at the time of hire, and Company affordability. Our ranges are structured to reward growth and performance, ensuring there is room for advancement and long-term opportunity.<br>
<br>
The salary ranges for this role are as follows:<br>
<br>
$109,000 - $299,000 USD annually (Geographical Tier AA - Sample Locations: NY Metro, San Franscisco, San Jose, Seattle)<br>
$101,000 - $276,000 USD annually (Geographical Tier A - Sample Locations: Irvine CA, Middlesex NJ, Tacoma WA, Boston, Alexandria)<br>
$92,000 - $253,000 USD annually (Geographical Tier B - Sample Locations - Baltimore, Chicago, Anchorage, Portland)<br>
$84,000 - $230,000 USD annually (Geographical Tier C - Sample Locations - Atlanta, Charlotte, Cincinnati, Miami)<br>
$80,000 - $219,000 USD annually (Geographical Tier D - Sample Locations - Mississippi, Mobile AL, Bowling Green KY, Tulsa)<br>
<br>
Time away matters&mdash;so we provide a generous paid time off program, including vacation, sick time, and paid holidays (with prorated options for eligible part-time employees).<br>
<br>
At VERTEX, growth never stops. Our signature &ldquo;Lifetime of Learning&rdquo; program offers tuition reimbursement and personalized support for employees pursuing advanced education&mdash;helping you sharpen your skills and accelerate your career.<br>
<h3 class="jobSectionHeader"><b>
Notice to Third Party Agencies:</b></h3><p><br>
Please note that The Vertex Companies employs a fully staffed recruiting team. We do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Agreement, VERTEX will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, VERTEX explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of VERTEX.</p></div>

AI Engineer

Search 10000+ Ai platform engineer jobs near you this May. New roles added regularly across leading industries. Apply today.

10000 ai platform engineer jobs Near Me

AI Platform Engineer

AI Platform Engineer

AI Platform Engineer

AI Data Platform Engineer

Senior Software Engineer, AI Platform - Türkiye

Software Engineer, AI Platform - Türkiye

AI Engineer