Senior Engineer - Generative AI Automation & Security

Job Title: Senior Engineer - Generative AI Automation & Security

Location: Phoenix, AZ 85001

Work Arrangement: Hybrid

Employment Type: Contract

Duration: Long Term Contract (3+ Years)

Domain: Financial Services / Enterprise Cybersecurity

Pay Rate: $40.00/hr

Application Deadline: Nov 15th 2026

SKILLS REQUIRED

Primary (Must-Have):

• Production Agentic AI Engineering (Claude/Claude Code, OpenAI Codex, LangGraph, AutoGen, CrewAI)

• Security Automation & CI/CD Pipeline Integration (GitHub Automation, Secure SDLC, Pull Request Checks)

• Software Engineering & Scripting (Python, JavaScript, Bash, Go, Rust, or Java)

• OWASP Top 10 for LLMs & Generative AI Security Controls (Model Context Protocol, Sandboxing, Guardrails)

Secondary (Good to Have):

• Advanced Security Certifications (CISSP, SANS GIAC, or MLOps Professional Certifications)

• Adversarial Robustness, Red-Team Testing & AI Risk Management Frameworks

• Database Architecture Knowledge (Oracle, SQL, and NoSQL Databases)

• Technical Leadership, Developer Advocacy & Security Champion Mentorship

POSITION OVERVIEW

Operating within the Enterprise Security and Automation Engineering Division, the Senior Engineer - Generative AI Automation will report directly to the Director of Cybersecurity Operations. The primary objective of this role is to design, build, and operationalize autonomous AI agents and security automation tooling across production environments, mitigating agentic AI security risks and embedding automated, secure-by-design controls into the end-to-end software development lifecycle.

ROLES & RESPONSIBILITIES

• Design, build, and deploy production-grade autonomous and semi-autonomous AI agents utilizing Claude Code, OpenAI Codex, and orchestration frameworks like LangGraph, AutoGen, and CrewAI.

• Develop and maintain enterprise security automation tooling that embeds automated security checks, threat modeling, and vulnerability scans into CI/CD pipelines and pull-request workflows.

• Establish agent evaluation practices, guardrails, and sandboxing protocols to mitigate prompt-injection resistance, data leakage, and unsafe tool usage in agentic workflows.

• Integrate autonomous agents securely with source control, issue tracking, security scanners, cloud APIs, and internal developer tools while enforcing least-privilege access.

• Conduct continuous security research on emerging Generative AI threats, lead proof-of-concept evaluations for security tooling, and mentor engineering teams on Secure SDLC best practices.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.