Sr Cloud Applications Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

As a Senior Cloud Applications Engineer, you will lead the design, development, and evolution of AI-powered cloud applications while driving best practices for secure, scalable, and efficient engineering across the organization.

• Design, develop, and deploy cloud-native AI applications using Microsoft Azure services and large language model (LLM) technologies.
• Build AI-powered capabilities such as retrieval-augmented generation (RAG), prompt orchestration, model integrations, and intelligent automation solutions.
• Establish reusable engineering frameworks, governance standards, and development patterns for AI application delivery.
• Collaborate with security and compliance teams to ensure AI solutions meet data privacy, security, and regulatory requirements.
• Serve as the technical lead for AI engineering initiatives, providing architecture guidance and hands-on development support.
• Identify opportunities to improve operational efficiency through internally developed AI tools and automation.
• Partner with business stakeholders to gather requirements and translate them into scalable technical solutions.
• Optimize the performance, reliability, scalability, and cost efficiency of cloud and AI services.
• Recommend improvements to engineering processes, tooling, and cloud architecture.
• Mentor engineers on AI-assisted development practices and promote adoption of modern engineering methodologies.

Requirements

The ideal candidate combines strong cloud application development expertise with hands-on AI engineering experience and the ability to collaborate across technical and business teams.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
• Minimum of 5 years of experience in software engineering or cloud application development, including recent AI/ML implementation experience.
• Hands-on experience building AI and LLM-powered applications using Microsoft Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure AI Search.
• Experience with retrieval-augmented generation (RAG), prompt engineering, orchestration frameworks, model integration, and evaluation techniques.
• Proficiency with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar coding assistants.
• Strong programming skills in Python, C#/.NET, or comparable languages.
• Experience developing cloud-native applications using Azure services such as App Services, Functions, AKS, containers, API Management, and cloud storage solutions.
• Knowledge of CI/CD pipelines, Infrastructure-as-Code, automated testing, observability, and Agile development practices.
• Familiarity with MLOps and LLMOps principles.
• Understanding of secure application architecture, identity management, API security, and data protection in regulated environments.
• Excellent analytical, communication, collaboration, and problem-solving skills.
• Microsoft Azure or AI-related certifications are considered an asset.

Benefits

• Competitive salary ranging from $104,500 to $136,000 annually, based on experience, skills, education, and location.
• Performance-based incentive opportunities and restricted stock units (RSUs).
• Fully remote work within the United States.
• Comprehensive medical, dental, and vision insurance.
• Health Savings Account (HSA) contributions and employer matching.
• Dependent Care Flexible Spending Account (FSA) match.
• 401(k) retirement plan with company matching.
• Uncapped paid time off.
• Paid parental leave.
• Tuition assistance and ongoing professional development opportunities.
• Financial wellness and healthcare literacy programs.
• Gym membership and fitness reimbursement.
• Wellness incentive programs.
• Company-sponsored travel and accommodations for required onboarding sessions.