Professional Services Consultant – AI Security

Responsibilities

We are representing a confidential cloud security organization seeking a Professional Services Consultant to guide enterprise clients through AI security implementations. In this role, you will:

• Serve as a trusted advisor to customers throughout their AI security implementation journey, providing technical guidance and consultative direction
• Lead end-to-end customer engagements implementing AI security solutions for AI risk management, model security, and data protection
• Work with customer teams to design secure AI architectures and establish governance frameworks aligned to standards such as NIST AI RMF, ISO/IEC 42001, and EU AI Act guidance
• Develop meaningful relationships with key customer stakeholders and their partners, building trust and confidence through expert consultation
• Translate technical findings into actionable recommendations for both executive and technical audiences
• Serve as a subject matter expert on AI and LLM security across the customer base
• Contribute to development of solution playbooks, knowledge sharing, and enablement materials for partners and customers
• Collaborate with product management, support, and engineering teams by providing field feedback on features and functionality
• Support pre-sales scoping of professional services for new customer engagements
• Identify opportunities to expand customer value through additional AI security services and capabilities
• Operate independently as a point of technical escalation to ensure timely resolution of issues

What We're Looking For

Our ideal candidate brings deep technical expertise combined with exceptional client-facing skills:

• 5+ years of experience in cloud architecture with primary focus on AWS or Azure, including hands-on deployment and management of Amazon EKS or ECS, or Azure Kubernetes Service and hybrid connectivity services
• 3+ years of experience in a customer-facing role (consulting, professional services, pre-sales, managed services) for a high-tech software or technology vendor with proven track record leading enterprise consulting engagements
• Exposure to implementation of API gateways (Zuul, Apigee, Kong, Amazon API Gateway, Azure API Management) and AI application specific gateways (LiteLLM, Portkey, Helicone, TrueFoundry)
• Solid understanding of public cloud networking constructs (AWS VPCs, Transit Gateway, Direct Connect, Route 53, Gateway Load Balancer – Azure VNets, VNGs, ExpressRoute, vWAN, Load Balancer, DNS)
• Experience designing and securing AI/ML infrastructure including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, Databricks, GPU-accelerated compute, and model inference pipelines
• Exposure to unique threat landscape for AI and LLMs including AI specific threat models and risks (prompt injection, data poisoning/leakage/exfiltration, model inversion/manipulations/poisoning, adversarial attacks)
• Proficient with Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK with version-controlled deployment pipelines; automation scripting skills in Python, Bash, or Go is a plus
• Familiarity with container security, runtime protection, and service mesh architectures (Istio, App Mesh)
• Practical experience with observability and monitoring stacks (CloudWatch, Prometheus, Grafana, Datadog)
• Knowledge of data sovereignty, residency requirements and compliance frameworks relevant to AI workloads (FedRAMP, SOC 2, ISO 27001, NIST 800-53, HIPAA, PCI, HITRUST, GDPR)
• Familiarity with data protection regulations and AI Security frameworks (GDPR, NIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, OWASP Top 10 for LLMs, MITRE ATLAS) is a plus
• Excellent communication and stakeholder management skills, capable of influencing at all levels and gaining trusted advisor status with key stakeholders
• Industry accredited security certifications (CISSP, CCSK, CISM) and AI security-specific credentials
• Excellent troubleshooting and problem-solving skills with methodical approach to root cause analysis
• Well organized with ability to work effectively in an agile and fast-paced environment
• Solid command of the English language (written and spoken); additional language skills is a plus
• Comfortable working within a geographically distributed and diverse team for a high-growth global organization
• Ability to travel up to 25% of the time for customer on-site meetings and company meetings

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening. We'll discuss your experience, career goals, and what you're looking for in your next role. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly – all communication and coordination will flow through Get A Job.ai to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Employment Opportunity

Get A Job.ai is committed to fair and equitable recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure an inclusive hiring process.