AI Engineer

GEI Consultants is hiring an AI Engineer to build, deploy, and integrate AI solutions into secure, scalable business workflows. In this hybrid role based in New York, you will help implement AI factory use cases by connecting enterprise data, orchestrating GenAI experiences, and ensuring reliability, performance, and cost control in production systems.

What you’ll do

• 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.
• Connect and secure 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 in collaboration with architecture and platform teams.

What you bring

• 4+ years of software engineering experience, including 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 GenAI (preferably on Azure).
• Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, plus frameworks such as Databricks Mosaic for integrating GenAI 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 AI security best practices, 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 (for example, Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, or Databricks Data Engineer Professional) are a plus.

Tools and technologies

• Python, PySpark, R, SQL
• Copilot, Copilot Studio, Azure Functions, Power BI
• APIs, Graph connectors, retrieval-augmented generation (RAG), event-driven patterns
• GPT, Codex, DALL·E, Databricks Mosaic
• Spark, Databricks, TensorFlow, PyTorch
• Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services

Compensation and benefits

• Salary range: $110,000.00–$150,000.00 per year
• 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 advancement opportunities
• Support and financial rewards for publication awards, professional dues, and professional licenses
• Paid holidays and a generous paid time off program
• Rewards and recognition
• GEI-funded profit sharing and 401(k)
• Opportunity to be an owner and shareholder
• A culture focused on partnership, sustainability, giving back, and diversity, equity and inclusion
• And more…

Work location and schedule

• Location: New York, NY (hybrid)
• Usual workday hours listed: 8, 10, 12

Physical activity requirements

• Sedentary
• Light
• Medium
• Other

• Sitting
• Standing
• Walking
• Climbing
• Lifting (floor to waist level) (in pounds)
• Lifting (waist level and above) (in pounds)
• 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 (taste=never)
• Talk or hear
• Near vision
• Far vision
• Color discrimination
• Depth perception
• Hearing

Occupational exposure risk potential

• Reasonably anticipated
• Blood borne pathogens
• Chemical
• Airborne communicable diseases
• Extreme temperatures
• Radiation
• Uneven surfaces or elevations
• Extreme noise levels
• Dust/particulate matter