Widenet Consulting logo

SR. AI SECURITY ENGINEER

Widenet Consulting

  • Seattle, Washington
  • 2 days ago
  • Contractor

Highlights

Demonstrated understanding of LLM and agent attack surface: prompt injection, data leakage through model output, insecure tool use, supply chain risk in models and dependencies. – Assess and mitigate agentic risk classes including excessive agency, capability chaining, tool and memory poisoning, and unsafe autonomous action.

Numbers & Facts

LocationSeattle, Washington
Job TypeContractor
IndustryStaffing/Employment Agencies
Company Size50 to 99 employees
Year Founded2009
Websitehttp://www.widenet-consulting.com/

Description

Job Description:
Location: This position requires the candidate to work onsite 2-3 days a week in Seattle, WA. Potential opening for remote candidates in PST.
Job Description:
This position will support AI workloads across our client and reduce AI risk through stronger infrastructure hygiene, in partnership with zero trust engineering.
Responsibilities
AI workload protection:
– Design, implement, and operate security controls for foundation model usage across Claude, ChatGPT, and Microsoft Copilot
– Support deployment and hardening of the enterprise AI gateway, including model allowlists, per-team keys, rate and budget limits, and centralized audit logging
– Engineer input and output guardrails covering prompt injection, sensitive data egress, credential and secret leakage, and unsafe output
– Integrate inline DLP and content inspection at the gateway so AI traffic is subject to the same data controls as other egress paths
– Establish security requirements for RAG architectures, including source grounding, index access control, and prevention of oversharing through model responses

Agentic and MCP security:
– Define and enforce governance for MCP servers and agent tooling, including registry, approval, and runtime policy enforcement
– Implement identity and authorization patterns for agents and other non-human identities: OAuth-based access, token lifecycle management, scoped tool permissions, and least privilege
– Assess and mitigate agentic risk classes including excessive agency, capability chaining, tool and memory poisoning, and unsafe autonomous action

Zero trust integration:
– Extend zero trust controls to AI workloads across identity, device, network, application, and data pillars
– Partner with identity engineering on conditional access, workload identity, and privileged access for AI systems and service principals
– Reduce AI risk through infrastructure hygiene: configuration baselines, egress control, secrets management, and dependency and supply chain integrity

Detection, testing, and assurance:
– Build monitoring and detection content for AI systems covering prompt behavior, tool invocation patterns, anomalous output, and data movement
– Conduct AI red team and adversarial testing, including direct and indirect prompt injection, jailbreak, and data extraction scenarios
– Perform shadow AI discovery and inventory of unsanctioned AI applications and browser extensions
– Conduct security reviews of AI applications, third-party AI vendors, and AI features in existing SaaS

Governance:
– Map controls to recognized frameworks including the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI Risk Management Framework
– Contribute to AI security standards, acceptable use guidance, architecture review criteria, and enablement material for engineering teams

Required Qualifications
– 7+ years in security engineering, with 2+ years securing AI, ML, or generative AI systems in production
– Hands-on experience deploying or operating an AI gateway, LLM proxy, or equivalent centralized AI control plane
– Demonstrated understanding of LLM and agent attack surface: prompt injection, data leakage through model output, insecure tool use, supply chain risk in models and dependencies
– Practical familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF
– Strong cloud security background, Azure preferred, including identity, network, and workload controls
– Python proficiency and comfort working with model APIs, SDKs, and evaluation tooling
– Experience partnering with engineering and data teams as an advisor rather than a gatekeeper

Preferred
– Experience with Microsoft 365 Copilot security posture, including oversharing remediation and sensitivity label enforcement
– Familiarity with AI red team tooling such as PyRIT or Garak
– Experience with MCP architecture and tool authorization patterns
– Experience with Microsoft Defender for Cloud Apps, Purview, or an equivalent DSPM platform in an AI context
– Working knowledge of ISO/IEC 42001 or the EU AI Act
– Certifications: CISSP, AZ-500, SC-100, CCSP

Pay Range: $85.00 – $95.00 per hour, depending upon experience.
Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.

About Company

Whether you are a candidate looking for a new opportunity or an organization looking for talent, when you work with WideNet Consulting, you can be confident that you will receive an unequaled experience. As a leading technology consulting and recruitment firm, WideNet has built an outstanding reputation of consistently bringing together professionals, who are the best in their field, with exceptional opportunities at the finest, most dynamic companies.

Our strengths:

We understand the challenges of business and organization management. Our team has helped departments and companies identify specific challenges and solutions, then built road maps to a smoother business model.

We know technology project management and assist on projects at ANY point in the process.

We build our dream team of Clients & Candidates carefully and purposefully, and then interact with them intensely and often. The journey ends with the perfect fusion of our Client's business objectives and our Candidate's expertise working together in perfect harmony.

We use our proprietary recruiting strategy and process, WideScreen™ to match Candidate expertise to Client needs and culture, consistently exceeding expectations. We work to deliver the right person for the need AND the company.

We conduct business with honesty, integrity, and dedication. We do what we say we're going to do. We follow-up and follow through until the best candidate is matched to the right opportunity.

We are not a volume shop. We are completely focused on creating the best possible fit between our Client's business objectives and our Candidate's expertise, every time.

We help our Clients match their technology solutions with current staff configurations, then provide the tools, experience and resources to develop targeted Information Technology initiatives that improve productivity and enhance systems management.

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