TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Description:
Location: Boston, MA (Remote)
The candidate must be well versed with AI governance and Security for AI. Must have excellent communication skills and experience working with 'C' Suite.
Provide strategic advisory to executive leadership on the secure adoption and governance of Artificial Intelligence, including Generative AI. This role ensures AI initiatives are implemented responsibly, securely, and in alignment with regulatory, ethical, and operational standards while enabling innovation.
Guide leadership in evaluating AI use cases, identifying risk exposure, implementing governance frameworks, and establishing secure deployment practices across the enterprise.
Advise executive leadership on AI risk, governance, and security strategy
Establish AI governance policies aligned with frameworks such as NIST AI RMF, ISO 42001, OWASP LLM Top 10, and OECD principles
Oversee secure deployment of AI systems including model selection, sandbox testing, and production rollout controls
Evaluate AI initiatives through structured risk and compliance assessment methodologies
Develop governance questionnaires, audit controls, and approval workflows
Ensure safe usage of generative models, including prompt security, data protection, and monitoring
Assess and guide adoption of governance/security tools (e.g., OneTrust, JFrog, Lakera, Prompt Security platforms)
Qualifications:
15+ Years of Cybersecurity experience
3+ Years in AI Governance, Security for AI
Senior leadership experience in cybersecurity, risk, or AI governance
Understanding of generative AI architectures and deployment risks
Familiarity with AI governance frameworks and audit practices
Experience evaluating AI use cases and identifying operational/security risks
Ability to communicate technical risk insights to executive stakeholders
Collaborate with leadership, legal, compliance, and technology teams on AI strategy and risk posture
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