Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description: Artificial Intelligence & Data Science EngineerLocation: Charlotte, NC 28262 - Hybrid 3 days per week onsite
1-2 year contract with potential to convert full timeW2 Only - No Corp to CorpAbout the RoleThe
Artificial Intelligence and Data Science Engineer is a senior, hands-on technical position responsible for designing, building, and operationalizing AI, machine learning, and advanced analytics solutions that strengthen the organization's cybersecurity defense posture.
You will apply modern AI, agentic systems, machine learning, and quantitative analytics to enterprise security telemetry-delivering scalable, production-ready solutions that support threat detection, automation, and cyber risk insights.
This role partners closely with cybersecurity operations, data engineering, cloud engineering, and platform teams to drive measurable, data-driven security outcomes.
Minimum QualificationsAI & Engineering Experience- Agentic AI frameworks (Vertex), MCP, multi-agent orchestration
- LLM APIs, Retrieval-Augmented Generation (RAG)
- Strong Python and SQL development skills
- Production deployment of ML/analytics solutions
Data Science & Data Engineering- Lakehouse Architecture, Delta Lake, Apache Iceberg
- Snowflake, Databricks, BigQuery
- Airflow, ETL pipeline design
- Quantitative analysis and statistical modeling
- Power BI (dashboarding and insights)
Required Qualifications- 5+ years in cybersecurity, data science, machine learning, analytics, or related technical domains
- Experience with security telemetry and platforms (SIEM, EDR, cloud security, identity systems)
- Strong understanding of cybersecurity concepts, threat landscapes, and defensive technologies
- Demonstrated success bringing ML/analytics projects into production at scale
Preferred Qualifications- Experience using generative AI or advanced automation in security or operational contexts
- Familiarity with major cloud platforms (Azure, AWS, Google Cloud Platform)
- Knowledge of cybersecurity frameworks (NIST, MITRE ATT&CK, Zero Trust)
- Relevant certifications (security, cloud, AI/ML)
- Financial services industry experience
Key Responsibilities- Design, develop, and deploy ML models and advanced analytics for cybersecurity use cases (e.g., threat detection, anomaly detection, predictive risk analysis)
- Build AI-driven automation and generative-AI-based capabilities for investigation, triage, and reporting
- Analyze and model large-scale enterprise, cloud, identity, and endpoint security data
- Create metrics, dashboards, and data products that support security operations and leadership decision-making
- Ensure all AI and data solutions adhere to secure engineering, privacy, and regulatory standards
- Collaborate with cybersecurity, IT, data engineering, and cloud teams to integrate ML and analytics solutions into enterprise workflows
- Serve as a senior technical contributor and mentor, promoting best practices in AI, data science, and secure engineering
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