Position Overview
We are seeking a Senior Python & AI Engineer to align cybersecurity initiatives with corporate objectives and protect enterprise infrastructure, with a focus on vulnerability management and AI-enabled security. This role works closely with senior leadership, project managers, and stakeholders, oversees security operations and threat response, and mentors cybersecurity professionals. This is a hybrid position with a regular onsite presence.
Key Responsibilities
- Work closely with senior leadership, project managers, and stakeholders to align cybersecurity initiatives with corporate objectives and ensure successful project delivery
- Communicate project risks and strategies clearly to senior management and stakeholders to support informed decision-making
- Ensure adherence to cybersecurity standards and regulations, and provide regular reports on security practices and compliance
- Oversee the integration of physical security measures with cybersecurity protocols for comprehensive protection and monitoring of infrastructure
- Coordinate resources and manage project progress, addressing issues and risks to ensure successful delivery
- Develop and implement strategies for secure communication protocols that protect sensitive data and preserve the integrity of cybersecurity systems
- Oversee SOC operations, ensuring it has the tools, technologies, and processes to monitor and respond to security threats
- Communicate critical security operations risks, strategies, and incident statuses to executive leadership, and prepare performance reports on compliance, effectiveness, and KPIs
- Develop and implement strategies and governance frameworks for security operations that align with organizational goals and regulatory compliance
- Mentor a team of cybersecurity professionals, fostering a culture of excellence and continuous improvement through training and development
- Oversee and guide the planning, execution, and delivery of cybersecurity projects and initiatives
- Design and execute advanced threat detection and incident response protocols for rapid identification, containment, and remediation of security incidents
Required Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, or a related technical discipline, or equivalent experience and training
- Vulnerability management experience
- Cybersecurity engineering experience
- Full software development life cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments
- Professional, design, and open-source experience
Preferred Qualifications
- Master’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, or a related technical discipline, or equivalent experience and training
- Extensive full SDLC experience
- Experience developing and implementing generative AI solutions using large language models (LLMs), such as OpenAI GPT, Google Gemini, or Llama
- Python programming or artificial intelligence certification
Ideal Candidate
The ideal candidate is a hands-on engineer with strong Python, vulnerability management, and software development experience who also understands how to apply generative AI to security work. They communicate risk clearly to senior leaders, respond decisively to incidents, and mentor others while keeping security work aligned with compliance and business goals.
