Staff Security Engineer, AI

DraftKings Inc.

Staff Security Engineer ensuring secure use of AI technology at DraftKings. Collaborating across teams to enhance security posture and architecture for emerging technology.

Posted 7/15/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLead💰 $160,700 - $200,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in security design and engineering, with a focus on AI platform security standards, architecture, and policy-as-code. Proven ability to mentor teams, streamline security processes, and collaborate across multiple stakeholders to enhance security capabilities.

Highest-signal resume keywords

AI Security StandardsSecurity Design AdvisoryInfrastructure SecurityCollaboration SkillsDebugging Systems Issues

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Security DesignPolicy-as-CodeArchitecture ReviewHigh Quality Code WritingAI Tooling Security

Soft Skills

Excellent CollaborationCommunication SkillsMentoring

Tools & Technologies

SaaS ToolsCloud SecurityEndpoint ProtectionNetwork Security

Industry Keywords

AI PlatformInfoSec ReviewTelemetryCross-Functional Security Issues

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Set the security standards and guardrails for the AI platform.
Define the principles, reference architectures, and policy-as-code that all AI tooling at DraftKings adheres to, so that many teams can build agents and workflows while still meeting a consistent security bar.
Focus on specifying the environment, infrastructure, and authentication methods agents rely on, rather than reviewing every individual implementation.
Review and build the architecture of AI gateways and tooling.
Provide security review, sign-off, and possibly pair on implementation of these systems, and the systems that they interface with.
Make the security review process scale.
Streamline how AI services move through InfoSec review on their way to production, so the bar stays high but does not become the bottleneck.
Reduce AI-driven security noise.
Partner with platform and detection teams on telemetry (tool-call metrics, auditing agents over that data) and on lightweight controls like standardized system prompts that cut unnecessary investigations without slowing engineers down.
Drive remediation efforts of complex, cross-functional security issues. When relevant, you’ll be called into investigations to assist.
Coach and raise the bar. Mentor security and platform engineers, lead technical and SME discussions on AI security, and elevate the team's overall capability in this space.

Requirements

What you’ll need

7+ years experience in engineering - building and operating systems in production.
5+ years experience contributing and advising on security design.
Broad security fluency across infrastructure and enterprise security - endpoint protection, network security, identity, SaaS tools, and cloud security - even if your deepest expertise is in application and product security.
Deep hands-on ability to debug systems issues.
Experience writing high quality code in a typed and untyped programming language.
Excellent collaboration and communication skills — you can align engineering, platform, privacy, legal, and leadership stakeholders, and you bias toward enabling teams rather than blocking them.
Ability to manage competing priorities and thrive in a fast-paced, dynamic environment.

Benefits

Comp & perks

bonuses
equity
benefits as applicable