Lead AI Engineer
Mindlance
Job Descriptions:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
- In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Information Security Engineering.
- Review and analyze complex multi-faceted, larger scale or longer-term Information Security Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
- Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
- Strategically collaborate and consult with client personnel.
- 5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- The Artificial Intelligence and Data Science Engineer is a senior, hands-on technical role responsible for developing and operationalizing AI, machine learning, and advanced analytics solutions that enhance the organization's cybersecurity defense capabilities.
- This role focuses on applying data science and AI techniques to security telemetry, automation, and cyber risk insights while ensuring solutions are secure, scalable, and production ready.
- The engineer works closely with cybersecurity operations, data engineering, and cloud teams to deliver impactful, data driven security outcomes.
- Design, build, and deploy machine learning and advanced analytics solutions for cybersecurity use cases such as threat detection, anomaly detection, and predictive risk analysis.
- Develop AI driven capabilities, including automation and generative AI solutions, to support security investigation, triage, and reporting.
- Analyze and model large volumes of security data from enterprise, cloud, identity, and endpoint platforms.
- Support cybersecurity metrics, dashboards, and insights used by operational teams and leadership.
- Apply secure engineering and data handling practices to ensure compliance with security, privacy, and regulatory requirements.
- Partner with cross functional teams across cybersecurity, IT, data, and cloud platforms to integrate AI and analytics solutions.
- Act as a senior technical contributor and mentor, supporting best practices in data science, AI, and security engineering.
- 5+ years of experience in cybersecurity, data science, analytics, machine learning, or related technical fields.
- Strong hands-on experience with Python, SQL, and common data science or ML frameworks.
- Experience working with security telemetry and platforms such as SIEM, EDR, cloud, or identity systems.
- Demonstrated experience deploying analytics or ML solutions into production environments.
- Solid understanding of cybersecurity principles, threats, and defensive technologies.
- AI engineering: Agentic AI frameworks (vertex), MCP, multi-agent orchestration, LLM API, RAG
- Data Science: Lakehouse Architecture, Delta Lake, Iceberg, Snowflake, Databricks, Bigquery, Airflow, ETL, Quantitative Analysis, SQL, Python, PowerBI
- Experience with generative AI or advanced automation in security or operational environments.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of cybersecurity frameworks including NIST, MITRE Telecommunication&CK, or Zero Trust.
- Relevant security, cloud, or AI/ML certifications.
- Financial Services Preferred
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
Vacancy posted 2 days ago
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