Jobs · Information Technology · Colorado

AI Engineer

GEI Consultants, Inc. · Denver, CO · 6 mo ago
Information Technology$110k–$150k/yrFull-time

About the role

The AI Engineer at GEI is responsible for developing AI solutions, typically using pretrained models and Copilot technologies, to support GEI's digital and AI initiatives. This role involves building, deploying, and integrating AI capabilities into business workflows, ensuring they are production-ready, aligned with GEI standards, and scalable.

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

  • Minimum of a bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience with Generative AI Large Language Models (LLMs).
  • Experience with Azure AI library APIs.
  • Experience with big data technologies such as Spark and Databricks.
  • Experience with Azure cloud services.
  • Experience with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Experience with security best practices for AI solutions.
  • Experience with Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional certifications.

Benefits

GEI offers a comprehensive benefits program, including medical, dental, vision, life, disability, and more. Additionally, there is a well-being program and paid parental leave, commuter benefits, hybrid work schedules, and cell phone stipends. GEI University provides continuing education assistance and tuition reimbursement, and the Connecting Conversation Program focuses on professional development and advancement opportunities. GEI also offers a vibrant culture focused on partnership, sustainability, giving back to communities, and diversity, equity, and inclusion.

Pay

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

Schedule

Hybrid Work Schedules

Physical Requirements

Functional Demands: Sedentary, 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 (taste=never), Talk or hear, Accurate 20/40 Very Accurate 20/20, Not Applicable

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