United States onlyAbout Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
The Presales Solutions Architect - AI Security at SHI International is responsible for being SHI’s Subject Matter Expert on all aspects of AI and machine learning security, including AI threat modeling, secure AI/ML pipeline design, adversarial machine learning defense, AI governance and compliance frameworks, and the integration of security controls across the AI development lifecycle.In this role, you will split your time between presales client engagements and internal practice development. On the presales side, you’ll take a consultative approach, leading technical discovery sessions with clients to assess their AI security posture, designing target-state AI security architectures, and delivering compelling demos, POCs, and technical presentations. On the internal side, you’ll build reusable collateral such as reference architectures, battle cards, and enablement content; evaluate and qualify new AI security vendor partnerships; and conduct training sessions that keep our engineering and sales teams current on emerging AI threats, platform capabilities, and best practices.
Your credibility and technical depth will make you a trusted advisor to both SHI’s most strategic customers and our internal stakeholders, driving meaningful AI security outcomes and revenue growth across the AI Security practice.
This position is a remote position with Home Office setup as determined by SHI management.
Role Description
Design and deliver product demonstrations, proof-of-concepts (POCs), and technical presentations focused on AI security solutions including AI threat modeling tools, ML pipeline security platforms, model scanning, and adversarial testing frameworks
Lead technical discovery sessions to assess clients’ AI security maturity across model protection, data governance, inference security, and AI-specific incident response capabilities
Translate complex AI security concepts – such as adversarial machine learning, prompt injection defense, model poisoning mitigation, and MITRE ATLAS mapping – into business-relevant value propositions for both technical and executive audiences
Design and present target-state AI security architectures covering secure model training pipelines, inference endpoint protection, data provenance controls, model registries, and integration with broader security stacks (CNAPP, IAM, zero trust)
Develop and maintain internal practice collateral including AI security reference architectures, battle cards, competitive analyses, technical briefs, and vendor evaluation frameworks
Evaluate and qualify new AI security vendor technologies and product capabilities; make recommendations on partner adoption, platform consolidation, and legacy solution retirement
Conduct internal enablement sessions for engineering and sales teams on emerging AI threats, product updates, use cases, and AI security best practices
Drive revenue growth within the presales team by identifying new AI security opportunities and optimizing service offerings
Collaborate with SHI stakeholder partner teams to create synergistic AI security service solutions that integrate across SHI’s broader portfolio
Build and maintain strong relationships with key clients and partners, ensuring high levels of satisfaction and retention through product briefings, demonstrations, and knowledge transfer
Stay current with new AI security technologies, frameworks, and regulatory developments; track adversary TTPs targeting AI/ML systems and the evolving threat landscape to inform architectural recommendations
Contribute to practice development by identifying areas for growth, leading innovation initiatives, and creating and maintaining practice standards to ensure high-quality service delivery
Behaviors and Competencies
Problem-Solving: Can proactively identify and take ownership of complex problem-solving initiatives, initiate preventative measures, collaborate with others to find solutions, and drive successful outcomes.
Communication: Can effectively communicate complex ideas and information to diverse audiences, facilitate effective communication between others, and mentor others in effective communication.
Adaptability: Can lead others through change, help teams adapt to new directions, and create a culture open to change.
Leadership: Can take ownership of complex team initiatives, collaborate with others in decision-making processes, and drive team performance.
Teamwork: Can build and lead multiple teams, fostering a cooperative environment and ensuring effective communication between team members.
Self-Motivation: Can take ownership of complex personal or professional initiatives, collaborate with others when necessary, and drive results through self-motivation.
Skill Level Requirements
Proficiency in overseeing and directing projects to completion, ensuring goals are met, resources are utilized efficiently, and stakeholders are satisfied - Intermediate
Ability to systematically identify, document, and manage the technical needs and specifications of a project by engaging with stakeholders and analyzing business objectives to ensure successful project outcomes - Intermediate
Ability to define, design, build, and maintain robust AI security architectures and solutions by leveraging enterprise security platforms, AI/ML tooling, and cloud infrastructure effectively - Intermediate
Familiarity with programming languages (Python, Go, or Bash) and their application to security automation, AI model scanning, adversarial testing, and integration workflows is a plus - Intermediate
Ability to understand and manage various infrastructure components (firewalls, load balancers, hypervisors, storage, monitoring, security) and use orchestration tools to develop comprehensive technical solutions - Intermediate
Ability to develop detailed opportunity engagement scoping documents that accurately define deliverables and requirements - Intermediate
Deep understanding of the AI development lifecycle security including secure data collection, model training isolation, inference endpoint hardening, AI-specific incident response, and continuous improvement frameworks - Intermediate
Other Requirements
Completed Bachelor’s degree in Computer Science, Cybersecurity, Data Science, Artificial Intelligence, or equivalent work experience
5+ years of experience in cybersecurity, with at least 1–2 years focused on AI/ML security, cloud security, or application security in roles involving hands-on architecture design and implementation
Demonstrated experience in presales, solutions architecture, or technical consulting within the cybersecurity or AI security domain
Willingness to travel occasionally up to 20%
The estimated annual pay range for this position is $180,000 - $250,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
