Data Scientist Lead

Quantum Technologies. LLC; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies. LLC in Charlotte, NC seeks a senior data science and AI engineering leader to design and govern agentic AI systems for Healthcare Digital.

You will lead cross-functional teams, build MCP-style servers for structured tool access, and integrate AI copilots into workflows to improve decision-making and productivity. The role requires 6+ years in data science/AI, 2+ years of leadership, and strong Python, ML frameworks, and cloud experience, along with excellent stakeholder

Qualifications

• Bachelor’s degree or equivalent professional experience.
• 6+ years in data science, AI engineering, or applied ML with 2+ years of technical leadership.
• Hands-on experience building agentic AIsystems including tool-using agents, planning/monitoring agents.
• 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.

Responsibilities

• Lead the strategy, architecture, and implementation of agentic AI systems for Healthcare Digital.
• 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 concepts to non-technical stakeholders in clear, practical language.
• Ensure governance, privacy, compliance, and HIPAA adherence; establish monitoring and retraining workflows.

Skills

Agentic AI systems

Tool-using agents

Planning/monitoring agents

MCP integration frameworks

Python

SQL

ML frameworks (PyTorch/TensorFlow)

Cloud platforms (Azure/AWS/GCP)

Stakeholder communication

Education

Bachelor’s degree in a relevant field

Tools

LangChain tools

AutoGen

OpenAI tool calling

MCP servers / agent integration frameworks

Job description

Healthcare,Banking & Finance,Insurance,Telecom,Education,IT/Software

Work Authorization:

AgenticAIStrategy&SystemOrchestration:

• Leadthestrategy,architecture,andimplementationofagenticAIsystemsforHealthcareDigital.
• DesignandmanageMCPserversthatprovidestructured,securetoolaccessforAIagentsacrossplatformsincludingmealordering,foodproduction,andEVStaskmanagement.
• Buildmulti-agentsystemswithclearroles—e.g.,planningagents,QAagents,data-retrievalagents,andoperationalcopilots—thatcollaboratetosupporthealthcareworkflows.
• DevelopgovernanceandroutinglayersthatenableAIagentstosafelyexecutetasks,calltools,generaterecommendations,andinteractwithstructuredoperationaldata.

ProductIntelligence&EmbeddedAIAgents:

• Integrateagent-drivencapabilitiesintoHealthcareDigital’splatforms:
• PatientMealOrdering:agenticnutritionchecks,dietaryruleenforcement,personalizedrecommendations.
• FoodProduction:prep-planningagents,demandforecastingagents,andwaste-reductionoptimizationloops.
• EVSTaskManagement:task-rankingagents,routingagents,andreal-timeenvironmentalmonitoringcopilots.
• BuildAIcopilotsforassociatesandmanagersthatsupportdecision-making,reduceadministrativeload,andautomaterepetitivetasks.
• EnsureAIagentsinteractseamlesslywithUIworkflows,APIs,productlogic,andunderlyingdatasystems.

OperationalDataScience&Automation:

• Buildanddeploypredictivemodelsthatfeedagentdecision-making,including:
• Mealdemandforecasting
• EVStaskpredictionandprioritization
• Laborandstaffingoptimization
• Anomalydetectionforoperationalissues
• IntegratemodeloutputswithMCP-basedagentstocreateclosed-loopautomation—agentsthatbothdetectandact,notjustanalyze.
• Translatefindingsintousableinsights,dashboards,andoperationalrecommendationsforfieldteams.

Leadership&Cross-FunctionalCollaboration:

• Coachandmentorateamofdatascientists,MLengineers,andAIengineersfocusedonagentdevelopmentandMCPintegration.
• PartnerwithHealthcareLeadership(Culinary,EVS,ClinicalNutrition,Operations)todriveAIadoptionandprioritizehigh-valueopportunities.
• CollaboratewithIT,andenterpriseAIteamstoalignonarchitecture,security,andplatformstandards.
• CommunicatecomplexAIandagent-basedsystemconceptstonon-technicalstakeholdersinclear,practicallanguage.

Data,Governance&ResponsibleAI:

• EnsureallAIandagentsystemsadheretogovernanceframeworks,includingprivacy,compliance,andHIPAA.
• Establishmonitoring,auditability,andretrainingworkflowsforbothmodelsandagents.
• Implementagentsafetycontrols,includingsandboxedtoolaccess,role-basedpermissions,andfallbacksforcriticaltasks.

Qualifications

Required

• Bachelor’sdegreeinarelevantfieldorequivalentprofessionalexperience.
• 6+yearsofexperienceindatascience,AIengineering,orappliedML,including2+yearsofteamleadershiportechnicalmanagement.
• Hands-onexperiencebuildingagenticAIsystems,including:
• Tool-usingagents
• Planning/monitoringagents
• StrongexperiencewithMCPserversorsimilaragentintegrationframeworks(e.g.,LangChaintools,AutoGen,OpenAItoolcalling).
• ProficiencyinPython,SQL,MLframeworks(PyTorch,TensorFlow,scikit-learn).
• Experiencewithclouddataandcomputeplatforms(Azure,Databricks,AWS,orGCP).
• StrongunderstandingofLLMs,RAGpipelines,structuredtoolprotocols,andknowledgegraphintegration.
• Excellentcommunication,stakeholderpartnership,andproduct-orientedthinking.

Preferred

• Experiencewithhealthcare,foodservice,hospitality,oroperationalenvironments.
• FamiliaritywithIoTdatastreams,workforcemanagementsystems,orreal-timetaskoperations.
• Backgroundinoptimization,reinforcementlearning,orcontinuousplanningagents.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.