Design, build, and operationalize production-ready AI solutions that integrate into business workflows and enterprise data systems.

Build and deploy AI-based solutions using pretrained models and Copilot technologies
Design and implement prompt flows, plugins, and orchestration using Copilot Studio and Azure Functions
Integrate AI capabilities into business workflows and applications
Connect enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns
Maintain and optimize Power BI dashboards supporting 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 collaborate with architecture and platform teams on mitigation strategies

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, DALL·E, and other frameworks such as Databricks Mosaic for integrating Generative AI into business workflows
Knowledge of big data technologies such as Spark and Databricks (TensorFlow and PyTorch are a plus)
Knowledge of Azure services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services and how they integrate with ML workflows
Familiarity with 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

Market-competitive compensation with eligibility for an Annual Performance Bonus
Pay range: $110,000.00– $150,000.00/year
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 advancement opportunities
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
Culture focused on partnership, sustainability, giving back, and Diversity, Equity, and Inclusion

Sedentary: checked; Light: available; Medium: available; Other: available
Activity level includes sitting: checked; standing; walking; climbing; lifting (floor to waist level); lifting (waist level and above); carrying objects; push/pull; twisting; bending; reaching forward; reaching overhead; squat/kneel/crawl; wrist position deviation; pinching/fine motor skills; keyboard use/repetitive motion; taste or smell; talk or hear; near vision; far vision; color discrimination; depth perception; hearing
Occupational exposure risk potential: reasonably anticipated: checked; not anticipated
Potential exposures include blood borne pathogens, chemical, airborne communicable diseases, extreme temperatures, radiation, uneven surfaces or elevations, extreme noise levels, dust/particulate matter: checked where marked as x
Usual workday hours: 8 (and other options 10, 12 shown)

AI Engineer

Job Description