AI Platform Engineer

<p>The <strong>AI Platform Engineer</strong> is responsible for designing, building, and operationalizing the organization's AI platform capabilities across cloud infrastructure, enterprise systems, and customer-facing digital platforms. This role serves as a technical leader within the IT organization and partners closely with Digital Development, Enterprise Systems, Operations, and business stakeholders to create scalable, secure, and reusable AI-enabled platform services that enhance both internal operations and external digital user experiences.</p> <p>A core function of this role is establishing and evolving the organization's AI Service Layer and supporting platform architecture including AI orchestration services, reusable APIs, customer-specific deployment models, and scalable cloud-native platform services—while ensuring scalability, maintainability, operational reliability, and security across environments.</p> <p>This role bridges AI engineering, cloud architecture, SaaS platform engineering, DevOps collaboration, and enterprise data enablement to ensure AI capabilities can be consistently deployed, integrated, governed, and scaled across both enterprise operations and customer-facing digital platform experiences.</p> <p><strong>RESPONSIBILITIES</strong></p> <p><strong>AI Platform Architecture & Engineering: </strong>Design, develop, and maintain reusable AI platform services and infrastructure components that support enterprise AI initiatives and customer-facing digital platforms, including AI APIs, orchestration services, retrieval-augmented generation (RAG) pipelines, prompt management, vector search capabilities, model integration frameworks, and reusable backend AI services.</p> <p><strong>Digital Platform AI Enablement: </strong>Design and implement AI capabilities that enhance customer-facing digital platforms and SaaS applications, including intelligent workflows, conversational interfaces, recommendation systems, predictive insights, automation services, and AI-assisted user experiences. Partner closely with frontend, backend, and UX teams to ensure AI capabilities are seamlessly integrated into unified digital platform experiences.</p> <p><strong>AI Service Layer Development:</strong> Build and maintain a centralized AI Service Layer that standardizes how enterprise systems, digital platforms, and SaaS applications consume AI capabilities, ensuring reusable patterns for model access, prompt orchestration, logging, security, governance, and scalable AI integration across customer-facing and internal solutions.</p> <p><strong>Enterprise Data & AI Enablement:</strong> Partner closely with Data Integrations Engineering and Enterprise Systems teams to ensure enterprise data assets are accessible, structured, secure, normalized, and optimized for AI and analytics workloads across both internal and customer-facing systems.</p> <p><strong>SaaS Platform Architecture & Deployment Support:</strong> Support scalable multi-tenant and customer-specific SaaS deployment models, including customer environment provisioning standards, AI service deployment architecture, database isolation strategies, deployment automation, and platform scalability best practices.</p> <p><strong>Technical Leadership & Cross-Functional Collaboration: </strong>Collaborate closely with DevOps, Backend Engineering, Data Integrations, Enterprise Systems, Frontend Development, and UI/UX teams to define scalable AI integration standards, reusable AI-enabled development patterns, and AI platform best practices across the organization. Partner with business departments including Operations, Sales, R&D, and other functional teams to identify opportunities for AI-enabled process improvement, intelligent automation, predictive insights, and enhanced digital platform capabilities that align with organizational objectives and operational needs.</p> <p><strong>QUALIFICATIONS<br> </strong>The successful candidate will have significant experience designing and operationalizing scalable cloud-based AI and platform engineering solutions, with the ability to bridge AI systems, cloud infrastructure, SaaS platform architecture, enterprise data integration, and customer-facing digital experiences.</p> <p>Specifically, the candidate should have:</p> <ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or related field.</li><li>5+ years of experience in AI engineering, machine learning engineering, AI platform development, or related technical roles.</li><li>Demonstrated experience building and deploying AI-enabled applications, AI services, or customer-facing AI capabilities in production environments.</li><li>Strong proficiency in Python, SQL, REST APIs, and AI service development.</li><li>Experience designing and deploying AI/ML services using Azure, Anthropic, vector databases, or related AI tooling.</li><li>Experience integrating AI capabilities into customer-facing web applications, SaaS products, or digital platform experiences.</li><li>Familiarity with scalable SaaS application architectures, API integration patterns, and AI orchestration workflows.</li><li>Familiarity with relational databases, secure data access concepts, and customer-aware data architectures.</li><li>Strong analytical, systems-thinking, and problem-solving capabilities.</li><li>Ability to clearly communicate technical concepts and AI solution designs to both technical and non-technical stakeholders.</li><li>Ability to work independently and collaboratively within cross-functional teams including Backend Engineering, Frontend Development, DevOps, Data Integrations, and UI/UX.</li><li>Willingness to travel occasionally (approximately 10%).</li></ul> <p><strong>PREFERRED</strong></p> <ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or related field.</li><li>Experience building enterprise AI service layers, AI orchestration platforms, or reusable AI-enabled application services.</li><li>Experience integrating AI capabilities into customer-facing SaaS applications or digital platform experiences.</li><li>Experience with Azure AI Services, Azure Functions, Azure SQL, Azure Data Factory, Event Grid, Service Bus, or related Azure platform services.</li><li>Experience working within scalable SaaS application environments and customer-aware deployment models.</li><li>Experience with observability, monitoring, logging, and operational support for AI-enabled services.</li><li>Experience implementing secure AI governance, model access controls, and operational AI best practices.</li><li>Experience mentoring engineers or providing technical leadership across cross-functional development teams.</li><li>Relevant Azure, AI, or cloud-related certifications.</li></ul> <p><em>USALCO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future.</em></p><p><em>#LI-Remote</em></p>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...