Engineer- IT AI II

Description

• 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.
• Collaborate with cross-functional teams to implement AI solutions aligned with business needs.
• Apply AI development methodologies and support MLOps practices under guidance.
• Follow established quality and environmental standards in development practices.
• 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.
• Assist in integrating AI agents with enterprise systems and data sources.
• Help troubleshoot and resolve technical issues throughout the application lifecycle.
• Participate in applied research and prototyping efforts to evaluate new AI capabilities.
• Advanced Analytics – Perform analytical tasks using Azure AI tools (ML, Synapse) to deliver insights.
• Stay informed on emerging AI technologies and contribute to innovation discussions.
• Research & Innovation – Conduct AI/ML experimentation, prototype development, and evaluate emerging tech.
• Support release and deployment activities, ensuring quality and compliance.
• Develop and maintain technical documentation, including workflows and implementation guides.
• Assist in evaluating new tools and frameworks for potential adoption.
• Build and optimize data pipelines and AI-powered applications with scalability in mind.
• Contribute to integration and deployment processes in collaboration with DevOps teams.
• Contribute to the design and development of intelligent agents to support business process automation.

Requirements

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

Benefits

• $109,500-$156,000 Annually.

Training + Development

Interview process

Visa Sponsorship

Security clearance