Engineer- IT AI II USA

Description

• Develop and maintain technical documentation, including workflows and implementation guides.
• Assist in evaluating new tools and frameworks for potential adoption.
• Stay informed on emerging AI technologies and contribute to innovation discussions.
• Support the monitoring, maintenance, and iterative improvement of deployed AI solutions.
• Data Engineering – Design scalable pipelines using Azure Data Factory, SQL, Cosmos DB for AI workloads.
• Collaborate with cross-functional teams to implement AI solutions aligned with business needs.
• Follow established quality and environmental standards in development practices.
• Assist in integrating AI agents with enterprise systems and data sources.
• Build and optimize data pipelines and AI-powered applications with scalability in mind.
• Research & Innovation – Conduct AI/ML experimentation, prototype development, and evaluate emerging tech.
• Support release and deployment activities, ensuring quality and compliance.
• Apply AI development methodologies and support MLOps practices under guidance.
• Help troubleshoot and resolve technical issues throughout the application lifecycle.
• Contribute to integration and deployment processes in collaboration with DevOps teams.
• Participate in applied research and prototyping efforts to evaluate new AI capabilities.
• The IT AI Engineer II will design, develop, and deploy intelligent automation solutions using Python and Azure services. This role focuses on building scalable, secure, and maintainable AI agents that integrate with enterprise systems to enhance productivity, decision-making, and operational efficiency. The ideal candidate will have strong experience in Python development, Azure AI services, and modern software engineering practices.
• Contribute to the design and development of intelligent agents to support business process automation.
• Advanced Analytics – Perform analytical tasks using Azure AI tools (ML, Synapse) to deliver insights.

Requirements

• At least 2 years of hands-on experience building and deploying Python-based solutions in Azure.
• Version Control & Agile – Proficient with Git, Agile practices, and test-driven development.
• API & Containerization – Experience with RESTful APIs, Docker, and CI/CD pipelines.
• Minimum 4 years of experience in software engineering or AI/ML development.
• Azure Services – Strong knowledge of Azure Functions, Cognitive Services, OpenAI, Logic Apps, and DevOps.
• Python Expertise – Proficient in Python and frameworks like FastAPI, LangChain, etc.
• Communication Skills – Excellent collaboration and ability to explain technical concepts to non-technical audiences.
• AI Architecture – Ability to design secure, scalable, and maintainable AI agent systems.
• MLOps & Lifecycle Management – Knowledge of model deployment, monitoring, and retraining practices.
• Responsible AI & Compliance – Familiarity with data privacy, compliance, and ethical AI principles.
• Business Process Optimization – Ability to analyze processes and apply AI for efficiency gains.
• 5% - 10%
• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.
• Microsoft Ecosystem – Experience with Graph API, Power Platform, and Microsoft 365 integration.
• Enterprise Integration – Understand interactions between AI solutions and other enterprise applications.
• LLM & Prompt Engineering – Skilled in prompt design, vector databases (Azure AI Search, Pinecone), and orchestration.

Benefits

• $109,500-$156,000 Annually.

Training + Development

Interview process

Visa Sponsorship

Security clearance