Job description

OVERVIEW: As an Artificial Intelligence Security Solutions Engineer, you will serve as a trusted technical leader and presales advisor, specializing in AI cybersecurity practices. In this pre-sales role, you will work closely with stakeholders to identify impactful AI security use cases, assess needs, and design full-stack solutions that deliver client outcomes. Example offerings include AI security solutions such as Governance, LLM Benchmarking, Red Teaming, Guardrails, AI firewalls, AI Security Posture Management coupled with complimentary services. You will help clients understand the AI security recommendations from resources such as the NIST AI Risk Management Framework, OWASP Top 10 for LLMs, MITRE ATLAS, and MIT AI Repository. This role requires knowledge and skills that are both broad and deep, as well as a passion for continuous learning. Successful candidates will need to be familiar with presales responsibilities such as building relationships, initial discovery discussions, running demonstrations, leading proof of values, facilitating workshops, developing business cases, and assisting with proposal efforts. Who You'll Work With: You'll be an integral member of a specialized AI Security team focused on the Public Sector market. This team will work with core account-focused sales/presales teams as the strategic go-to-market engine for our AI Security offerings. You will collaborate with internal teams, including partner management, marketing, sales, services, as well as external partners. Location for this position is in the Washington DC metropolitan area (Northern Virginia, DC and Maryland). Travel expectation is 25%. The office is in Tysons Corner, Virginia. REQUIRED QUALIFICATIONS: • 10+ years of IT experience: recent domain competence in AI security, application security, data security, posture management, and awareness with Zero Trust pillars. • 3+ years of Technical Presales Experience • Experience with threat modeling, assessing, and red teaming AI pipelines and platforms. • Experience with Infrastructure as Code, such as Terraform or Ansible. • Experience with cloud platforms (AWS, Azure, etc) • Understanding of selling cycles, selling strategies, and the skills and responsibilities of a presales engineer • Content creation and presentation skills are critical for success • Education typically requires BS/BA (CS/EE) or STEM equivalent, graduate degree preferred DESIRED QUALIFICATIONS: • Experience with CI/CD development pipelines is highly desired • Full-stack development experience or Site Reliability Engineering experience is desired • Example certifications are CEH, OSCP, CSSLP, CCSP, CGRC, ISSAP, ISSEP, CISA, CISM and ITIL CLEARANCE: • Public Trust minimum with the ability to obtain and maintain a Top Secret clearance

Requirements