AI Engineer

About the role

The AI Engineer at GEI is responsible for developing AI solutions, typically leveraging pretrained models and copilots, to support GEI's digital and AI initiatives. This role involves building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.

Responsibilities

• 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.

Requirements

• 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.

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.

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.

Rewards and recognition.

Opportunity to be an owner and shareholder (learn more here).

A vibrant culture that is focused on partnership, sustainability, giving back to our communities, and diversity, equity, and inclusion.

Pay

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

Schedule

Usual workday hours: 8