This role focuses on engineering production-ready AI capabilities that plug into secure, scalable business workflows.

Build and deploy AI 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
Securely connect and integrate enterprise data sources 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 with architecture and platform teams

4+ years of software engineering experience
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: 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, plus other frameworks such as Databricks Mosaic
Knowledge of big data technologies such as Spark and Databricks (TensorFlow and PyTorch are a plus)
Knowledge of Azure cloud services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services
Familiarity with integrating these services into ML workflows
Knowledge of AI ethics, including bias mitigation and explainability, and responsible AI practices
Understanding of security best practices for AI solutions, including data encryption, access control, and endpoint protection
Experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus
Azure or Databricks certifications are a plus (examples: Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional)

Market-Competitive Compensation, including eligibility for an Annual Performance Bonus
Comprehensive Benefits Program: 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 focused 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
A vibrant culture focused on partnership, sustainability, giving back, and diversity, equity, and inclusion
And more

AI Engineer

Job Description