AI Engineer

Essential Responsibilities & Duties

• Build and deploy AI-based solutions using pretrained models and Copilot technologies.
• Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
• Integrate AI capabilities into business workflows and applications.
• Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
• Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
• Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
• Provide technical support and troubleshooting for deployed AI solutions.
• Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications

• 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
• Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
• Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
• Experience delivering Generative AI (LLM) solutions, preferably on Azure.
• Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
• Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
• Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
• Knowledge of AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
• Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
• Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
• Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

Pay

Pay Range For This Position: $110,000.00– $150,000.00/year

Benefits

• Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
• Well-Being Program and Paid Parental Leave
• Commuter Benefits
• Hybrid Work Schedules and Cell Phone Stipends
• GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
• Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
• Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
• Paid Holidays and Generous Paid Time Off Program
• Rewards and Recognition
• GEI-Funded Profit Sharing and 401(k)
• Opportunity to be an Owner and Shareholder (Learn more here)