Solution IT Inc. is looking for Lead Data Scientist for one of its clients in Charlotte NC (3 days Hybrid)
Job Title: Lead Data Scientist
Key Responsibilities:
Agentic AI Strategy & System Orchestration
- Lead the strategy architecture and implementation of agentic AI systems for Healthcare Digital.
- Design and manage MCP servers that provide structured secure tool access for AI agents across platforms including meal ordering food production and EVS task management.
- Build multi-agent systems with clear roles-e.g. planning agents QA agents data-retrieval agents and operational copilots-that collaborate to support healthcare workflows.
- Develop governance and routing layers that enable AI agents to safely execute tasks call tools generate recommendations and interact with structured operational data.
Product Intelligence & Embedded AI Agents
- Integrate agent-driven capabilities into Healthcare Digitals platforms:
- Patient Meal Ordering: agentic nutrition checks dietary rule enforcement personalized recommendations.
- Food Production: prep-planning agents demand forecasting agents and waste-reduction optimization loops.
- EVS Task Management: task-ranking agents routing agents and real-time environmental monitoring copilots.
- Build AI copilots for associates and managers that support decision-making reduce administrative load and automate repetitive tasks.
- Ensure AI agents interact seamlessly with UI workflows APIs product logic and underlying data systems.
Operational Data Science & Automation
- Build and deploy predictive models that feed agent decision-making including:
- Meal demand forecasting
- EVS task prediction and prioritization
- Labor and staffing optimization
- Anomaly detection for operational issues
- Integrate model outputs with MCP-based agents to create closed-loop automation-agents that both detect and act not just analyze.
- Translate findings into usable insights dashboards and operational recommendations for field teams.
Leadership & Cross-Functional Collaboration
- Coach and mentor a team of data scientists ML engineers and AI engineers focused on agent development and MCP integration.
- Partner with Healthcare Leadership (Culinary EVS Clinical Nutrition Operations) to drive AI adoption and prioritize high-value opportunities.
- Collaborate with IT and enterprise AI teams to align on architecture security and platform standards.
- Communicate complex AI and agent-based system concepts to non-technical stakeholders in clear practical language.
Data Governance & Responsible AI
- Ensure all AI and agent systems adhere to governance frameworks including privacy compliance and HIPAA.
- Establish monitoring auditability and retraining workflows for both models and agents.
- Implement agent safety controls including sandboxed tool access role-based permissions and fallbacks for critical tasks.
Required Skills
- Bachelors degree in a relevant field or equivalent professional experience.
- 6 years of experience in data science AI engineering or applied ML including 2 years of team leadership or technical management.
- Hands-on experience building agentic AI systems including:
- Multi-agent workflows
- Tool-using agents
- Planning/monitoring agents
- Strong experience with MCP servers or similar agent integration frameworks (e.g. LangChain tools AutoGen OpenAI tool calling).
- Proficiency in Python SQL ML frameworks (PyTorch TensorFlow scikit-learn).
- Experience with cloud data and compute platforms (Azure Databricks AWS or GCP)
- Strong understanding of LLMs RAG pipelines structured tool protocols and knowledge graph integration.
- Excellent communication stakeholder partnership and product-oriented thinking.
Preferred - Experience with healthcare foodservice hospitality or operational environments.
- Familiarity with IoT data streams workforce management systems or real-time task operations.
- Background in optimization reinforcement learning or continuous planning agents.
Work Site: Charlotte NC (3 days Hybrid)
Duration: 6 Months
Expected Start Date: Immediate
Number of Positions: 1
Please send your responses back to
Solution IT Inc. is looking for Lead Data Scientist for one of its clients in Charlotte NC (3 days Hybrid) Job Title: Lead Data Scientist Key Responsibilities: Agentic AI Strategy & System Orchestration Lead the strategy architecture and implementation of agentic AI systems for Healthcare Digital. ...
Solution IT Inc. is looking for Lead Data Scientist for one of its clients in Charlotte NC (3 days Hybrid)
Job Title: Lead Data Scientist
Key Responsibilities:
Agentic AI Strategy & System Orchestration
- Lead the strategy architecture and implementation of agentic AI systems for Healthcare Digital.
- Design and manage MCP servers that provide structured secure tool access for AI agents across platforms including meal ordering food production and EVS task management.
- Build multi-agent systems with clear roles-e.g. planning agents QA agents data-retrieval agents and operational copilots-that collaborate to support healthcare workflows.
- Develop governance and routing layers that enable AI agents to safely execute tasks call tools generate recommendations and interact with structured operational data.
Product Intelligence & Embedded AI Agents
- Integrate agent-driven capabilities into Healthcare Digitals platforms:
- Patient Meal Ordering: agentic nutrition checks dietary rule enforcement personalized recommendations.
- Food Production: prep-planning agents demand forecasting agents and waste-reduction optimization loops.
- EVS Task Management: task-ranking agents routing agents and real-time environmental monitoring copilots.
- Build AI copilots for associates and managers that support decision-making reduce administrative load and automate repetitive tasks.
- Ensure AI agents interact seamlessly with UI workflows APIs product logic and underlying data systems.
Operational Data Science & Automation
- Build and deploy predictive models that feed agent decision-making including:
- Meal demand forecasting
- EVS task prediction and prioritization
- Labor and staffing optimization
- Anomaly detection for operational issues
- Integrate model outputs with MCP-based agents to create closed-loop automation-agents that both detect and act not just analyze.
- Translate findings into usable insights dashboards and operational recommendations for field teams.
Leadership & Cross-Functional Collaboration
- Coach and mentor a team of data scientists ML engineers and AI engineers focused on agent development and MCP integration.
- Partner with Healthcare Leadership (Culinary EVS Clinical Nutrition Operations) to drive AI adoption and prioritize high-value opportunities.
- Collaborate with IT and enterprise AI teams to align on architecture security and platform standards.
- Communicate complex AI and agent-based system concepts to non-technical stakeholders in clear practical language.
Data Governance & Responsible AI
- Ensure all AI and agent systems adhere to governance frameworks including privacy compliance and HIPAA.
- Establish monitoring auditability and retraining workflows for both models and agents.
- Implement agent safety controls including sandboxed tool access role-based permissions and fallbacks for critical tasks.
Required Skills
- Bachelors degree in a relevant field or equivalent professional experience.
- 6 years of experience in data science AI engineering or applied ML including 2 years of team leadership or technical management.
- Hands-on experience building agentic AI systems including:
- Multi-agent workflows
- Tool-using agents
- Planning/monitoring agents
- Strong experience with MCP servers or similar agent integration frameworks (e.g. LangChain tools AutoGen OpenAI tool calling).
- Proficiency in Python SQL ML frameworks (PyTorch TensorFlow scikit-learn).
- Experience with cloud data and compute platforms (Azure Databricks AWS or GCP)
- Strong understanding of LLMs RAG pipelines structured tool protocols and knowledge graph integration.
- Excellent communication stakeholder partnership and product-oriented thinking.
Preferred - Experience with healthcare foodservice hospitality or operational environments.
- Familiarity with IoT data streams workforce management systems or real-time task operations.
- Background in optimization reinforcement learning or continuous planning agents.
Work Site: Charlotte NC (3 days Hybrid)
Duration: 6 Months
Expected Start Date: Immediate
Number of Positions: 1
Please send your responses back to
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