cloud ai 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>

AI Platform Engineer

Scotiabank

<p></p><div><p>Requisition ID: 257554<br>
<br>
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.</p><p></p><div><b><br>
Purpose</b></div><br>
<div></div>
<div>
The AI Engineer is an individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role will execute AI engineering and MLOps/LLMOps, ensuring AI solutions are secure, scalable, auditable, and production ready. You will work with Senior Engineers to build and deploy production grade AI systems end to end.</div><br>
<div></div>
<div><b>
What You'll Do</b></div><br>
<div></div>
<div><b>
Production AI Engineering (Build, Deploy, Run)</b></div>
<ul>
<li>Implement production‑grade AI services and pipelines (batch and real‑time) with strong focus on reliability, performance, and operational excellence in the cloud</li>
<li>Execute, manage and support the packaging and deployment of models and solutions as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks.</li>
<li>Own complex problem resolution across environments, including production incidents related to AI systems.</li>
</ul>
<div><b>Governance‑by‑Design (Banking &amp; Regulatory Alignment)</b></div>
<ul>
<li>Embed <b>AI governance directly into engineering workflows</b>, including:
<ul><li>Security and access controls</li>
<li>Data classification and handling</li>
<li>Model risk management requirements</li>
<li>Privacy and consent controls</li>
<li>Responsible AI principles</li>
<li>Auditability and regulatory traceability</li>
</ul></li><li>Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and external regulatory expectations.</li>
</ul>
<div><b>Generative AI &amp; Advanced AI Capabilities</b></div>
<ul>
<li>Implementation of <b>Generative AI</b> patterns such as Retrieval‑Augmented Generation (RAG), embeddings, semantic search, and agent workflows.</li>
<li>Ensure GenAI solutions are grounded in approved data sources, governed access, logging, and retention policies.</li>
<li>Define evaluation and monitoring approaches for GenAI outputs in regulated use cases.</li>
</ul>
<div><b>Enterprise MLOps / LLMOps
</b></div><ul><li>Implement <b>automated ML/LLM delivery pipelines</b> covering training, evaluation, approval, deployment, and rollback.</li>
<li>Implement standards for model versioning, reproducibility, environment isolation, and controlled releases.</li>
<li>Reduce time‑to‑production while increasing safety, repeatability, and governance through automation.</li></ul><br>
<div></div>
<div><b>
What You'll Bring</b></div><br>
<div></div>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience.</li>
<li>3+ years of experience in cloud engineering, with 3+ years focused on AI/ML systems</li>
<li>Expert‑level proficiency in Python, SQL and cloud infrastructure</li>
<li>Hands‑on experience deploying AI solutions in cloud environments (Azure and GCP).</li>
<li>Deep understanding of production concerns: reliability, scalability, observability, cost, and security.</li>
<li>Experience delivering AI solutions in regulated industries (banking, financial services, insurance, healthcare).</li>
<li>Strong familiarity with model risk management, audit requirements, and regulatory review processes.</li>
<li>Hands‑on experience with enterprise MLOps / LLMOps tooling and platform design.</li>
<li>Experience designing platform‑level AI capabilities, not just individual models.</li></ul><br>
<div></div>
<p><b>
Interested?</b></p><br>
<p></p>
<p>
If your experience is closely related but doesn&rsquo;t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!</p>
<p>
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That&rsquo;s why we work to grow and diversify talent and engage employees in a performance-oriented culture.</p><p><br>
<b>
What's in it for you?</b></p><br>
<p></p>
<p>
Scotiabank wants you to be able to bring your best self to work &ndash; and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.</p><br>
<p></p>
<p>
#Dallas</p><br>
<p></p>
<p>
Location(s): United States : Texas : Dallas<br>
<br>
Scotiabank is a leading bank in the Americas. Guided by our purpose: &quot;for every future&quot;, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
<br>
<br>
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.</p></div>

AI Engineer

S&P Global

<div><div><h1 class="jobSectionHeader"><b>Senior Software Engineer (Agentic AI Automation)</b></h1>
<ul><li>Islamabad, Pakistan</li>
<li>Information Technology</li>
<li>326126</li>
</ul></div><div></div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2><br>
<div><br>
<h1 class="jobSectionHeader"><b>About the Role:</b></h1>
<p></p><p><b>Grade Level (for internal use):</b></p>
10
<p><b>Senior Software Engineer (Agentic AI Automation)</b></p>
<p><b>Grade:</b> 10
<br>
<b>Location:</b> Islamabad, Pakistan</p>
<p><b>The Team:</b>
<br>
Join the engine room of S&amp;P Global&rsquo;s AI transformation. Our team builds &quot;Agentic Workflows&quot;&mdash;intelligent systems that don't just follow instructions but reason through problems, plan multi-step solutions, and execute actions across a vast enterprise ecosystem. We operate in a multicloud environment, utilizing the best of <b>GCP (Gemini)</b>, <b>AWS (Bedrock)</b>, and <b>Azure AI Foundry</b>, integrated through the <b>Moveworks</b> action platform.</p>
<p><b>The Impact:</b>
<br>
As a Senior Software Engineer, you are a key builder of our autonomous future. You will develop the &quot;Agentic Loops&quot; and technical integrations that allow our AI to solve complex business challenges. Your work moves the organization beyond simple chatbots toward truly autonomous agents that act as intelligent partners for every global employee.</p>
<div></div><p><b>Responsibilities</b></p>
<ul><li><b>Agentic Development:</b> Build and refine autonomous AI agents capable of reasoning and planning. You will implement adaptive workflows using frameworks like <b>LangChain or LangGraph</b> to solve specific business use cases.</li>
<li><b>Cloud AI Implementation:</b> Integrate LLMs across a multicloud stack. You will be responsible for the hands-on deployment and configuration of models like <b>Gemini (GCP)</b> and <b>Claude (AWS)</b> within our automation pipelines.</li>
<li><b>Hybrid Workflow Building:</b> Execute the &quot;low-code/pro-code&quot; hybrid strategy. Configure <b>Moveworks SparkActions</b> for front-end interaction while writing robust <b>Python</b> backends to handle complex logic and data processing.</li>
<li><b>Connector Engineering:</b> Develop and maintain secure API connectors that allow AI agents to &quot;talk&quot; to enterprise systems like <b>ADO, ServiceNow, Concur, and Jira</b>.</li>
<li><b>Code Quality &amp; Peer Review:</b> Participate in rigorous code reviews, ensure high standards of documentation, and assist in maintaining the scalability and security of our AI tools.</li>
<li><b>Collaborative Problem Solving:</b> Work closely with Technical Leads and Business Analysts to turn high-level requirements into functional, automated agentic flows.</li>
</ul><div></div><p><b>What We&rsquo;re Looking For: REQUIRED SKILLS/QUALIFICATIONS</b></p>
<p><b>Technical Expertise:</b></p>
<ul><li><b>5-8 years of experience</b> in Software Engineering, Workflow Automation, or Systems Integration. We value candidates who have a strong background in implementing business processes using platforms like <b>ServiceNow, PowerPlatform, or Workato.</b></li>
<li><b>Workflow Execution:</b> 3+ years focused on building <b>intelligent workflows</b>. You have a proven ability to connect disparate business systems (APIs, databases, SaaS) into a single functional journey.</li>
<li><b>Platform &amp; Tools:</b> Experience with <b>Moveworks (Creator Studio/SparkActions)</b> or similar conversational AI platforms. Familiarity with cloud environments (<b>GCP, AWS, or Azure</b>) to host and manage automation logic.</li>
<li><b>AI Integration:</b> Hands-on experience or a deep interest in using <b>Generative AI (Gemini/GPT)</b> to make workflows &quot;smarter&quot;&mdash;specifically using LLMs for data extraction and intent recognition.</li>
<li><b>API Proficiency:</b> Deep experience with <b>REST/SOAP APIs</b>. You are comfortable navigating complex documentation to build bridges between AI agents and platforms like <b>ADO, ServiceNow, or Salesforce.</b></li>
<li><b>The &quot;Pro-Code&quot; Core:</b> Proficient in <b>Python</b> or <b>Node.js</b>. You enjoy writing clean, efficient code for serverless functions and custom integrations.</li>
<li><b>Cloud Fundamentals:</b> Familiarity with the <b>GCP</b> or <b>AWS</b> ecosystem&mdash;specifically IAM, Secret Manager, and API Gateway for secure automation hosting.</li>
</ul><p><b>Soft Skills:</b></p>
<ul><li><b>Conversational Mindset: </b>You think about the &quot;User Journey.&quot; You care about how a user interacts with a chat-based bot (Slack/Teams).</li>
<li><b>Ownership: </b>You enjoy taking a requirement from an initial &quot;idea&quot; all the way to a production-ready automation.</li>
<li><b>Analytical Problem Solving: </b>You have the ability to untangle a complex business process into a clear, automated workflow.</li>
</ul><div></div><p><b>Nice to Have:</b></p>
<ul><li><b>Certifications:</b> AWS Certified AI/ML, Google Associate Cloud Engineer, or ServiceNow Developer certs.</li>
<li><b>Agentic Frameworks:</b> Exposure to frameworks like LangChain, CrewAI, or AutoGen.</li>
<li><b>Data Handling:</b> Experience with JSON, SQL, and basic Vector Database concepts.</li>
<li><b>DevOps Basics:</b> Familiarity with Git, CI/CD pipelines, and Docker.</li>
</ul><div></div><p><b>Why Join Us?</b></p>
<ul><li><b>Build the Future:</b> Work with the latest &quot;Agentic AI&quot; tech stack (Gemini/Bedrock/Moveworks) in a high-growth field.</li>
<li><b>Multicloud Exposure:</b> Expand your skills across Google Cloud, AWS, and Azure simultaneously.</li>
<li><b>Professional Growth:</b> Join a culture that values technical discovery, mentorship, and career progression in the AI space.</li>
</ul><p><b>Build the future of agentic automation. Join S&amp;P Global.</b></p>
<p></p><p><b>What&rsquo;s In It For </b><b>You?</b></p>
<p></p><p><b>Our Mission:
</b></p><p>Advancing Essential Intelligence.</p>
<p></p><p><b>Our People:</b></p>
<p>We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.</p>
<p></p><p><b>Our Values:</b>
<br>
<b>Integrity, Discovery, Partnership</b></p><br>
<p><br>
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
<br>
<br>
<b>Benefits:</b><b>
</b></p><p>We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
<br>
<br>
Our benefits include:</p>
<ul><li><p>Health &amp; Wellness: Health care coverage designed for the mind and body.</p>
</li><li><p>Flexible Downtime: Generous time off helps keep you energized for your time on.</p>
</li><li><p>Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.</p>
</li><li><p>Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.</p>
</li><li><p>Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.</p>
</li><li><p>Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.</p>
</li></ul><p>For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries</p>
<p></p><p><b>Global Hiring and Opportunity at S&amp;P Global:</b></p>
<p>At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.</p>
<p></p><p><b>Recruitment Fraud Alert:</b></p>
<p>If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.</p>
<p></p><p>-</p>
<p></p><p><b>Equal Opportunity Employer</b></p>
<p>S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.</p><br>
<p></p><p>If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
<br>
<br>
<b>US Candidates Only: </b>Know Your Rights: Workplace discrimination is illegal</p>
<p>-</p>
20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
<br>
<br>
<b>Job ID:</b> 326126
<br>
<b>Posted On:</b> 2026-05-04
<br>
<b>Location:</b> Islamabad, Pakistan</div></div></div>

Senior Software Engineer (Agentic AI Automation)

Openkyber

<div><b>Job Title:</b> AI / ML Engineer<br>
<b>Location:</b> Dallas, TX or Memphis, TN Hybrid<br>
<b>Duration:</b> 6+ Months
<p>Project Role : AI / ML Engineer</p>
<p>Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution and developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.</p>
<p>Must have skills :</p>
<ul><li>Advanced knowledge of Python specifically for machine learning and data science.</li>
<li>Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.</li>
<li>Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, Google Cloud Platform).</li>
<li>Extensive experience in AI/ML development, particularly in NLP, and machine learning domains.</li>
<li>Hands-on experience in developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solutions is essential</li>
<li>Proficiency in designing and maintaining AI/ML solutions that are cost-effective, accurate, and scalable.</li>
<li>Exceptional problem-solving skills and the ability to think analytically.</li>
<li>Strong communication and interpersonal skills, with the aptitude to navigate complex project requirements with clients and stakeholders.</li>
</ul><p>Nice to have: Certification as an Azure AI Engineer Associate or equivalent credentials is highly advantageous.</p>
<p>Experience with ML/DL frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.</p>
<p>Experience with C# or Java, node.js.</p>
<p>With Regards, OpenKyber<br>
7525 Mitchell Road, Suite 106, Eden Prairie, MN 55344<br>
Email ID - hirings@openkyber.com</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

OCI AI Services Engineer

EverFi

<div><p>Everfi is a leading education technology company founded in 2008 that delivers digital learning solutions focused on real-world skills. The company provides scalable education in areas such as financial literacy, health and wellness, and workplace readiness.</p><p>
We are seeking a Cloud Architecture Engineer, Senior Principal to support the reliability, scalability, security, and strategic evolution of EVERFI's PaaS systems, while acting as a force multiplier for the broader engineering organization. The Cloud Architecture Engineer, Senior Principal is expected to operate with a high degree of autonomy, make consequential architectural decisions, and represent cloud infrastructure to senior leadership as needed.</p><p></p><p><b><br>
Cloud Architecture Engineer, Senior Principal Compensa</b><b>tion and Benefits</b></p><p>
$170,000-$185,000 annual base salary depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.</p><p>
This role is eligible to participate in the Corporate Bonus Plan</p><p>
100% Remote position</p><p>
Health, Dental, and Vision insurance</p><p>
401(K) with matching contribution</p><p>
Generous Paid Time Off (PTO)</p><p></p><p><b><br>
Cloud Architecture Engineer, Senior Principal Responsibilities</b></p><p><b>
Strategic Architecture &amp; Technical Visio</b><b>n</b></p><ul><li>
Shape and execute the multi-year cloud architecture strategy for EVERFI's platform, aligning infrastructure direction with business growth, product roadmap, and organizational scalability goals</li></ul><ul><li>
Lead enterprise-wide architecture reviews and establish cloud governance standards, guardrails, and best practices adopted across all engineering teams</li></ul><ul><li>
Identify and evaluate emerging technologies (e.g., AI/ML infrastructure, FinOps, platform engineering tooling) and make forward-looking recommendations to VP and CTO leadership</li></ul><ul><li>
Serve as a technical decision-maker and escalation point for complex, cross-functional cloud architecture challenges</li></ul><ul><li>
Drive the evolution of EVERFI's platform from reactive infrastructure management to proactive, resilience-first platform engineering</li></ul><p><b>
Platform Engineering &amp; Infrastructure</b></p><ul><li>
Design, build, maintain, and monitor internal PaaS systems in the cloud at enterprise scale &mdash; with a focus on high availability, fault tolerance, and cost efficiency</li></ul><ul><li>
Lead the implementation of geographically redundant, multi-region, and highly available architectures capable of supporting EVERFI's growth trajectory</li></ul><ul><li>
Architect and oversee the full lifecycle of cloud deployment tooling, ensuring CI/CD systems are continuously optimized for speed, safety, and developer experience</li></ul><ul><li>
Design reliable, interoperable components and utility libraries that underpin EVERFI's applications across engineering teams</li></ul><ul><li>
Architect and own a comprehensive metrics, monitoring, and observability system enabling full-stack visibility, proactive incident response, and SLA enforcement</li></ul><p><b>
Security, Compliance &amp; Risk</b></p><ul><li>
Ensure all cloud environments are designed and administered in accordance with company security guidelines, SOC 2 compliance requirements, FERPA, and applicable data privacy regulations</li></ul><ul><li>
Architect zero-trust networking, identity and access management (IAM), and data encryption frameworks across EVERFI's cloud environments</li></ul><ul><li>
Partner with Security and Legal teams to lead cloud risk assessments and drive remediation of architectural vulnerabilities at the platform level</li></ul><p><b>
Cross-Functional Leadership &amp; Influence</b></p><ul><li>
Act as a senior technical advisor to Engineering, Product, and Executive leadership on all cloud infrastructure decisions &mdash; translating complex technical tradeoffs into clear business impact</li></ul><ul><li>
Champion engineering culture: establish and promote best practices for reliability, performance, and operational excellence across all teams consuming cloud infrastructure</li></ul><ul><li>
Build training programs, playbooks, and knowledge resources that upskill engineering teams on cloud operations, architecture patterns, and performance optimization</li></ul><ul><li>
Represent the Cloud Architecture function in cross-functional planning, capacity modeling, and strategic workforce design discussions</li></ul><p><b>
Mentorship &amp; Talent Development</b></p><ul><li>
Provide mentorship, technical guidance, and career development support to Principal, Staff, and Senior Engineers on the Cloud Architecture team and adjacent teams</li></ul><ul><li>
Participate in hiring, technical interviews, and calibration discussions as needed</li></ul><ul><li>
Participate in an on-call rotation to provide emergency incident support as needed, modeling expected standards of operational excellence for the team</li></ul><p></p><p><b><br>
Cloud Architecture Engineer, Senior Principal Qualifications</b></p><ul><li>
Bachelor's Degree in Computer Science, Engineering, or equivalent combination of education and experience required; Master's degree strongly preferred</li></ul><ul><li>
10+ years of progressive professional experience in cloud infrastructure, platform engineering, or systems architecture</li></ul><ul><li>
Minimum 3&ndash;5 years of experience operating at the Principal or Staff Engineer level, with demonstrated ownership of enterprise-wide architectural decisions</li></ul><ul><li>
Proven track record of leading large-scale cloud transformations, platform modernizations, or migrations in high-growth SaaS environments</li></ul><ul><li>
Experience in EdTech, FinTech, or compliance-heavy industries strongly preferred</li></ul><p><b>
Certifications (Preferred)</b></p><ul><li>
AWS Solutions Architect &ndash; Professional (or equivalent Azure/GCP professional-level certification)</li></ul><ul><li>
AWS Security Specialty or Certified Cloud Security Professional (CCSP)</li></ul><ul><li>
Kubernetes Administrator (CKA) or equivalent</li></ul><p><b>
Technical Skills</b></p><ul><li>
Cloud Platforms: Deep expertise in AWS (required); hands-on experience with Azure and/or GCP preferred</li></ul><ul><li>
Infrastructure as Code: Terraform, AWS CloudFormation, Pulumi, or CDK at enterprise scale</li></ul><ul><li>
Containerization &amp; Orchestration: Docker, Kubernetes (EKS/AKS/GKE), Kafka</li></ul><ul><li>
CI/CD &amp; DevOps: Advanced pipeline design with Jenkins, GitHub Actions, ArgoCD, or equivalent</li></ul><ul><li>
Networking &amp; Security: TCP/IP, DNS, SMTP, HTTP, VPCs, zero-trust architecture, WAF, distributed networks</li></ul><ul><li>
Programming &amp; Scripting: Python, Go, Ruby on Rails, or Bash (proficiency in at least two)</li></ul><ul><li>
Data &amp; Storage: SQL and NoSQL (Postgres and equivalents); familiarity with data lake and lakehouse architectures</li></ul><ul><li>
Observability: Datadog, New Relic, Prometheus/Grafana, or equivalent full-stack observability platforms</li></ul><ul><li>
AI/ML Infrastructure: Familiarity with cloud-native AI/ML infrastructure (SageMaker, Vertex AI, or equivalent) preferred</li></ul><ul><li>
Open-Source Ecosystem: Extensive experience contributing to and consuming open-source tooling in production environments</li></ul><ul><li>
Web Services &amp; APIs: Expert-level knowledge of REST, RPC, SOA, and API design principles</li></ul></div>

Cloud Architecture Engineer, Senior Principal

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>


YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer – Remote

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