Ai Engineer Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; equivalent combinations of education and experience will be considered.
• 4–7 years of experience in AI/ML, data science, or advanced analytics, with a track record of delivering production-grade AI and data solutions in enterprise environments.
• 4–7 years of hands-on Python and SQL programming experience, including building, testing, and deploying data-driven applications and models.
• 4–7 years of experience with machine learning frameworks and model lifecycle management, including training, validation, deployment, and monitoring.
• Demonstrated experience integrating AI/ML solutions into enterprise applications and reporting platforms, including BI tools such as Power BI or similar visualization technologies.
• 4–7 years of experience working with cloud data and AI platforms such as Azure, AWS, or similar, including services such as Azure AI, Azure ML, OpenAI, Synapse, or Fabric.
• Strong understanding of data modeling, including dimensional modeling, semantic layers, and enterprise reporting structures.
• Experience designing and supporting ETL/ELT pipelines and collaborating with data engineering teams to enable scalable AI and analytics solutions.
• Strong analytical, organizational, and problem-solving skills; attention to detail; and ability to manage multiple priorities in a fast-paced, evolving environment.
• Ability to translate complex business requirements into scalable, high-impact technical solutions and align AI initiatives with business outcomes across Finance, Sales, and Operations.
• Effective communication and collaboration skills, including conveying technical concepts across channels such as email, chat, and presentations, and working independently or on cross-functional teams.
• Ability to work a flexible schedule to support business needs, including occasional early mornings, evenings, or weekends.
• Authorization to work in the United States; the employer does not provide employment-based immigration sponsorship or related assistance.

Nice To Haves

• Experience with enterprise systems such as ERP platforms D365 or JD Edwards, and industry domains such as retail, manufacturing, or supply chain analytics.
• Experience developing AI copilots, chatbots, or enterprise AI agents.
• Microsoft certifications in Azure AI, Data, or Power BI.

Responsibilities

• Design, develop, and deploy scalable machine learning models, including predictive, classification, anomaly-detection, and clustering models, and AI-powered solutions such as intelligent assistants, forecasting systems, and natural-language interfaces.
• Integrate AI and machine learning capabilities into enterprise applications and platforms using services such as Azure AI and OpenAI.
• Architect and build reusable AI frameworks, components, and services for enterprise-wide scalability, standardization, and rapid deployment.
• Partner with data engineering teams to develop ML-ready datasets, feature pipelines, and robust data foundations.
• Use enterprise data platforms such as Azure, Fabric, and Synapse to design and run scalable, high-performance AI workloads.
• Embed AI-driven insights and predictive analytics into BI solutions such as Power BI and Datamarts, and integrate outputs into dashboards, semantic models, and reporting layers.
• Align AI and analytics solutions with enterprise KPIs, reporting standards, and data governance frameworks across ERP, CRM, and operational systems.
• Develop intelligent automation and decisioning systems combining machine learning and rule-based logic for proactive monitoring, anomaly detection, and self-healing capabilities.
• Establish and enforce Responsible AI practices, including model transparency, explainability, monitoring, and ethical use of data and algorithms.
• Ensure compliance with enterprise data governance, security, and regulatory requirements, maintaining auditability and integrity of AI models and outputs.
• Partner with Finance, Sales, Operations, and other stakeholders to translate business requirements into AI-enabled solutions and prioritize high-value use cases.
• Communicate AI solutions and insights to technical and non-technical audiences, and support user enablement, training, and adoption of AI-driven analytics tools.
• Work effectively with others to accomplish organizational goals and identify and resolve problems.
• Adhere to Visual Comfort Company Values and demonstrate commitment, dependability, punctuality, and adherence to the agreed schedule while present in the workplace.
• Work a flexible schedule to support business needs, including occasional early mornings, evenings, or weekends as required.

Benefits

• Structured training program, ongoing education, and career advancement opportunities.
• Generous vacation accrual and paid time off policies.
• Seven paid holidays per year and two floating holidays.
• Competitive compensation plan.
• The company covers the majority of employee medical premiums; vision and dental coverage are available starting the first of the month following the start date.
• Company-provided life insurance and short-term disability coverage.
• 401(k) plan with company matching up to 4%, available beginning the first of the month following the hire date.