Cloud AI Engineer

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn’t a perk—it’s the standard.

As an 8(a) HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for a Cloud AI Engineer to add to our team.

Quick Position Overview:

• US Citizenship is required
• Bachelor's Degree is required
• Minimum of 5 years' position related experience is required
• Remote, with periodic travel to the Washington, DC Metro Area

The Role:

The Cloud AI Engineer will play a central role in designing, developing, and optimizing AI-enabled business applications built on major cloud platforms. This position combines cloud architecture, GenAI model integration, and Agile delivery to create intelligent business solutions that leverage services such as translation, transcription, and computer vision.

The ideal candidate brings technical excellence, problem-solving agility, and the ability to work collaboratively within an interdisciplinary team focused on delivering secure, scalable, and responsible AI solutions.

The Senior Site Reliability Engineer (SRE) at STS will:

• Architect and implement enterprise GenAI solutions using cloud services:
• • Build business applications leveraging cloud-managed AI services (GenAI models, translation, transcription, computer vision, etc.)
• • Deploy and manage GenAI models in cloud environments
• • Perform prompt engineering, optimization, and performance monitoring
• • Develop Infrastructure-as-Code (IaC) for GenAI and AI service workloads
• • Integrate AI services into business applications and enterprise systems
• Design and implement effective Agile practices for GenAI development:
• • Contribute to GenAI project roadmap planning using epics
• • Participate in quarterly planning for AI-enabled business applications, including feature elaboration and sequencing
• • Support sprint planning, backlog refinement, and workload balancing
• • Lead AI application reviews, retrospectives, and demonstrations
• Implement GenAI application monitoring and optimization:
• • Monitor GenAI model performance, response quality, and cost metrics
• • Implement automated alerting for cloud-managed AI service health and performance
• • Conduct performance analysis of AI-enabled business applications and apply optimizations
• • Manage AI service costs and usage patterns across translation, transcription, and vision workloads
• Collaborate on GenAI architecture and business application design:
• • Work with development teams to design scalable, reliable AI-enabled business solutions
• • Establish and maintain GenAI governance frameworks and responsible AI practices
• • Respond to and resolve GenAI service incidents and user requests
• • Lead continuous improvement of AI-enabled business application development processes
• Ensure compliance with GenAI and cloud security standards:
• • Apply the NIST AI Risk Management Framework for GenAI applications
• • Follow AWS AI/ML Security Best Practices for cloud-managed services
• • Implement Azure Responsible AI principles for business applications
• • Ensure adherence to data privacy and protection standards for AI-enabled workloads
• Utilize enterprise tools for GenAI project management:
• • Work with Atlassian Jira, Confluence, and OpsGenie for AI project tracking and incident resolution
• • Manage GenAI development workflows, documentation, and application records
• Build and optimize AI-enabled business applications:
• • Design and deliver AI-enabled business features using cloud-managed AI services
• • Troubleshoot and resolve GenAI service integration issues
• • Contribute to planning and implementation of new AI features that enhance user effectiveness
• Problem-Solving:
• • Handle GenAI-related technical challenges and integration issues independently
• • Apply strong analytical skills for AI performance tuning and cost optimization
• • Perform effectively under pressure during AI service incidents
• • Drive continuous improvement across AI-enabled business application development processes
• Teamwork and Communication:
• • Collaborate effectively with business users, developers, and technical stakeholders
• • Mentor team members on cloud GenAI best practices and AI service utilization
• • Communicate GenAI concepts and business value to non-technical stakeholders
• • Maintain strong written and verbal communication skills for diverse technical audiences

Education And Experience:

Required

• Bachelor’s Degree in Computer Science, Data Science, Engineering, or related field• Minimum of 5 years of experience with cloud services (AWS, Azure, or equivalent)• Proficiency in cloud architecture and automation (Python, PowerShell, Bash)• Experience building and optimizing AI-enabled applications using cloud-managed services• Strong problem-solving, analytical, and collaboration skills• Ability to work during AAD team hours of operation: 8 AM – 6 PM ET, Weekdays (excluding U.S. Federal Holidays)• Ability to pass a U.S. Federal Government Public Trust background check

Preferred
• Hands-on experience with AWS Bedrock, Azure OpenAI, and other GenAI cloud services
• Familiarity with prompt engineering, foundation model deployment, and GenAI integration patterns
• Experience with Agile/Scrum tools and team ceremonies (Jira, Confluence)
• Knowledge of NIST AI RMF and Responsible AI governance frameworks
• Interest in emerging AI development paradigms such as “AI-enabled vibe coding”

Required Learning Path And Certifications:

The successful candidate will follow a defined learning plan to earn and maintain active certifications over time.

• Cloud AI Certifications (Priority):
• • AWS Certified AI Practitioner
• • AWS Data Engineer – Associate
• • AWS Machine Learning – Specialty
• • Microsoft Azure AI Fundamentals
• • Microsoft Azure AI Engineer Associate
• • Microsoft Azure Data Fundamentals
• • Microsoft Azure Data Engineer Associate
• • Microsoft Azure Data Scientist Associate
• Additional Cloud and Professional Certifications:
• • AWS Certified Solutions Architect – Professional
• • AWS Certified DevOps Engineer – Professional
• • Microsoft Azure Solutions Architect Expert
• • Microsoft Azure DevOps Engineer Expert
• • Scrum Alliance – Certified ScrumMaster (CSM)
• • Scrum Alliance – Certified Scrum Product Owner (CSPO)
• • PMI – Agile Certified Practitioner (PMI-ACP)

STS is committed to equal employment opportunity. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, marital status, family responsibilities, matriculation, personal appearance, political affiliation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. --- Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.