
AI & Data Solutions Engineer
- Charlotte, NC
- $111,744-139,680 per year
- Permanent
- Full-time
- Architect & Deliver Solutions – Design data platforms, predictive models, and GenAI applications leveraging LLMs to augment decision-making, automate workflows, and enhance user experiences.
- Consultative Problem-Framing – Lead discovery sessions to surface requirements, quantify value, and convert business needs into actionable technical roadmaps.
- Own MLOps & Productionization – Manage the entire ML lifecycle (CI/CD, feature stores, monitoring, retraining) so models stay reliable and resilient.
- Drive Automation & Optimization – Identify manual pain points; build Python/R pipelines, computer-vision routines, or workflow automations to streamline them.
- Elevate Team Capability – Share best practices, code reviews and brown-bag demos that accelerate learning for analysts, engineers and citizen developers.
- 3–5 years of progressive experience in data science, analytics engineering or solution architecture, including client-facing or consulting engagements.
- Advanced proficiency in SQL, Databricks and Snowflake (SnowPro or similar cert a plus).
- Hands-on MLOps experience: MLflow, feature stores, CI/CD, Docker/Kubernetes basics.
- Strong coding in Python (PySpark, Pandas, scikit-learn, FastAPI) and working knowledge of R.
- Proven record of shipping predictive analytics, GenAI / LLM, and computer-vision solutions to production.
- Comfort with Git-based CI/CD, infrastructure-as-code, and at least one major cloud (Azure preferred).
- Excellent storytelling—the ability to turn statistical insights into clear, compelling business narratives.
- Consulting background (Big-4, boutique, or internal advisory).
- Experience in manufacturing or supply-chain domains (highly valuable but not required).
- Certifications: SnowPro Advanced, Azure DP-203, PMP, CSM.
- Exposure to factory automation, IIoT, time-series forecasting, digital twins or simulation.
- Familiarity with Looker, Power BI or Tableau for rapid-fire data visualization.
- Familiarity with automation platforms like Power Automate or UIPath.
- Experience developing LLM-powered applications using GenAI frameworks (e.g., LangChain, LlamaIndex) and vector databases (e.g., FAISS, Pinecone, Weaviate), including knowledge of RAG pipelines and prompt tuning.
- Deliver multiple production AI/ML use-cases that unlock significant cost savings or revenue lift within year one.
- Cut model deployment time from idea to production through robust MLOps automation.
- Establish reusable data-product templates adopted across several business units.
- Demonstrate growing influence—peers rely on your technical judgment and stakeholders seek your guidance.
- Competitive salary
- Comprehensive benefits to include:
- Medical
- Dental
- Vision
- 401(k) with employer match
- Retirement Account
- Parental Leave
- Fertility Services
- Adoption Assistance
- Paid Vacation
- Paid Holidays
- Tuition Reimbursement
- Life Insurance
- Short-Term and Long-Term Disability
- Flexible spending accounts
- Wellness Program with medical premium incentives
- And more…