AI Engineer

GEI Consultants is seeking an AI Engineer to develop, deploy, and integrate AI solutions into business workflows. In this role, you will help deliver AI Solutions Factory use cases by implementing production-ready capabilities that are secure, scalable, maintainable, and measurable for reliability, performance, and cost.

This position is based in Dallas, TX with onsite work arrangements. The pay range for this role is $110,000.00–$150,000.00 per year, and candidates should have 4+ years of relevant software engineering experience, including hands-on work building Generative AI applications.

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.
• Securely 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 in collaboration with architecture and platform teams.

Requirements

• 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 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, 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, 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 (for example, Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

Technologies

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

Benefits

• Market-Competitive Compensation, including eligibility for an Annual Performance Bonus.
• Pay Range For This Position: $110,000.00–$150,000.00/year.
• 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 focused on Professional Development and opportunities for Advancement.
• 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 vibrant culture focused on partnership, sustainability, giving back to communities, and diversity, equity, and inclusion.