AI Security Engineer Anthropic COE

Slalom, LLC
New York, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$158,000 - $218,000
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Analysis Software System Penetration Testing Audit Trail Automation of Tests Microsoft Azure Cloud Computing Cloud Computing Security Code Reuse Code Review
+41 more
Cyber Security Information Systems Computer Programming System Configuration Continuous Integration Information Leak Prevention Data Retention Identity and Access Management Internet Security Python (Programming Language) Key Management Open Web Application Security Secure Coding Security Information and Event Management Software Engineering Systems Integration TypeScript Software Vulnerability Management Data Logging Google Cloud Large Language Models Claude Code Software Security Cyber Threat Analysis Agentic-AI Rate Limiting Git Infrastructure Automation Frameworks Information Technology Amazon Bedrock Claude Evaluation of Large Language Models Invoking Functions Api Design Model Context Protocol Terraform Agent SDK Webhooks Software Version Control Devsecops Vulnerability Analysis

Job description

As an AI Security Engineer, you will be the hands-on builder behind secure Claude deployments and Claude-powered security solutions. You will implement, configure, and harden Anthropic’s Claude across enterprise environments; build and secure agentic workflows, tool integrations, and Model Context Protocol (MCP) servers; and write the code, automation, and integrations that turn AI security designs into working, production-ready capabilities. You will also engineer AI-enabled cybersecurity operations solutions on Claude, such as agentic vulnerability management, automated triage, and AI-assisted security testing. Working closely with AI Security Architects and client engineering teams, you will move quickly from proof of concept to production while contributing reusable code, accelerators, and technical expertise to Slalom’s AI security offerings., * Claude Implementation & Hardening: Deploy and securely configure Claude Enterprise, Claude Code, the Claude API, and cloud-hosted Claude (Amazon Bedrock, Google Cloud Vertex AI, Microsoft Azure), including SSO/SCIM, role-based access, workspace and admin controls, data retention, and audit logging.

  • MCP & Tool Integration Engineering: Build, deploy, and secure MCP servers and tool integrations, implementing authentication, authorization, least-privilege permissioning, input/output validation, and secrets management.
  • Agent Security Controls: Implement technical controls for Claude-based agents, including sandboxed execution, scoped credentials and agent identity, human-in-the-loop approvals, rate limiting, and policy enforcement.
  • Agentic Security Solutions: Develop Claude-powered security automations using the Claude Agent SDK and MCP, such as agentic vulnerability management (discovery, prioritization, remediation guidance, and fix validation), alert triage, investigation, and threat intelligence enrichment.
  • Security Tooling Integration: Integrate Claude-based solutions with vulnerability scanners, EDR, SIEM/SOAR, ticketing, source control, and CI/CD pipelines through APIs, webhooks, and infrastructure as code.
  • AI Security Testing: Perform hands-on security testing of Claude-enabled applications and agents, including prompt injection, jailbreak, data leakage, and tool-abuse testing; build automated test harnesses and evaluations to validate guardrails.
  • Logging, Monitoring & Detection: Instrument AI usage and agent activity with logging and telemetry, build detections and dashboards in SIEM platforms, and provide visibility into agent actions, tool calls, and connections.
  • Secure Code & DevSecOps: Embed security into AI solution delivery through secure coding practices, code review (including Claude-assisted secure code review), dependency and supply chain scanning, and secured CI/CD pipelines.
  • Cloud Security Foundations: Configure the underlying cloud infrastructure that hosts Claude solutions, including IAM, network controls, private connectivity, encryption, key management, and logging.
  • Technical Delivery: Own hands-on build and implementation workstreams, troubleshoot issues, and translate reference architectures into working, documented, and supportable solutions.
  • Pursuit Support: Build demos and proofs of concept, support technical scoping and estimates, and serve as a hands-on Anthropic and AI security expert in client workshops.
  • Practice Development: Create reusable code, MCP connectors, deployment templates, and runbooks for Slalom’s AI security offerings; stay current on new Claude capabilities and collaborate with Anthropic partner teams.
  • Mentorship: Coach and upskill consultants on Claude engineering, secure agent development, and AI security testing.

Requirements

Artificial Intelligence (AI), Data Analysis, Automation, Artificial Intelligence (AI), Proof of Concept, Computer Security, Internet Security, MCP - Microsoft Certified Professional, Security Architecture, Testing, * Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or related field, or equivalent practical experience.

  • 8+ years of experience in security engineering, software engineering, or cloud security engineering, including 2+ years building or securing AI/LLM-based solutions.
  • Hands-on experience deploying, configuring, and building with Anthropic’s Claude (Claude Enterprise, Claude Code, Claude API, Claude Agent SDK, and/or Claude via Amazon Bedrock, Google Cloud Vertex AI, or Microsoft Azure).
  • Strong programming skills in Python and/or TypeScript, with experience building APIs, integrations, and automation.
  • Hands-on experience building agentic AI workflows, MCP servers, tool/function calling, and retrieval-augmented generation (RAG).
  • Practical experience testing and mitigating AI-specific threats, including prompt injection, data exfiltration, excessive agency, and insecure tool use.
  • Foundational knowledge of cloud infrastructure and security (AWS, Azure, and/or GCP), including IAM, networking, encryption, key management, and logging.
  • Experience with security operations tooling and domains such as vulnerability management, SIEM/SOAR, EDR, or application security.
  • Experience with Git, CI/CD, containers, and infrastructure as code (e.g., Terraform).
  • Strong communication skills, with the ability to document technical work clearly and explain it to both technical and non-technical stakeholders.
  • Experience serving as a Forward Deployed Engineer and leading FDE teams strongly preferred

Preferred Skills

  • Certifications such as AWS Certified Security - Specialty, Microsoft Azure Security Engineer, Google Professional Cloud Security Engineer, OSCP, CCSP, or CISSP.
  • Experience building agentic security tooling (e.g., autonomous vulnerability remediation, AI-assisted triage, AI-assisted red teaming or penetration testing).
  • Experience with LLM evaluation and red teaming tools and techniques for testing guardrails and agent behavior.
  • Familiarity with the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001.
  • Experience with AI security tooling for AI discovery, posture management, runtime protection, and agent inventory.

About the company

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer a yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this position, we are able to hire at the Principal or Senior Principal level; the base salary pay ranges are listed below with an annual bonus target.

Atlanta, Austin, Charlotte, Chicago, Columbus, Dallas, Houston, Miami, Minneapolis, Nashville, Phoenix, Portland and Salt Lake City:

Principal: $133,000 - $183,000

Senior Principal: $158,000 - $217,000

Boston, Los Angeles, New York City, Orange County, San Diego, and Seattle:

Principal: $145,000 - $200,000

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