Remote AI Security Architect – Attack-Simulation Lead

Jobot; Atlanta (GA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Remote within the US

Health benefits

401(k)

Flexible/unlimited PTO

Learning and development funding

Home-office stipend

Internet/phone stipend

Job summary

Jobot is seeking a hands-on Lead Engineer to own the technical direction and architecture of an AI attack-simulation platform. You will translate adversarial AI research into scalable security-testing capabilities while mentoring engineers and aligning with Product and Security Research.

This leadership role remains technically hands-on with prototyping, implementation, and challenging problems, driving architecture decisions and product quality across the team.

Qualifications

• 10+ years of professional software engineering experience.
• Significant technical leadership experience with complex production systems.
• Strong backend and distributed systems engineering background.
• Deep experience with cloud-native architectures.
• Production experience building AI or agentic systems.
• Experience with tool use, orchestration, state management, structured outputs, guardrails, and AI evaluation.
• Strong Go/Golang development experience.
• Experience with another production language such as Python, Rust, Java, or TypeScript.
• Strong product mindset and experience working directly with Product Management.
• Ability to mentor engineers and lead through ambiguity.

Responsibilities

• Own architecture and technical direction for AI attack-simulation technology.
• Build scalable systems that translate adversarial AI techniques into production security capabilities.
• Design agentic workflows, tool integrations, execution systems, guardrails, and evaluation frameworks.
• Partner with Product Management and Security Research on strategy and roadmap development.
• Develop AI-first engineering workflows across research, prototyping, implementation, testing, and release.
• Remain hands-on with critical architecture and complex engineering challenges.
• Lead technical reviews and establish engineering best practices.
• Improve reliability, security, observability, and overall product quality.
• Mentor engineers and help develop senior technical talent.
• Help engineers take greater ownership of customer problems and product outcomes.

Skills

Go/Golang

Distributed systems

Cloud-native

AI/agentic systems

Mentoring

Product mindset

Tools

OpenAI Agents SDK

LangGraph

AutoGen

Job description

Jobot is seeking a hands-on Lead Engineer to own the technical direction and architecture of an AI attack-simulation platform. You will translate adversarial AI research into scalable security-testing capabilities while mentoring engineers and aligning with Product and Security Research.

This leadership role remains technically hands-on with prototyping, implementation, and challenging problems, driving architecture decisions and product quality across the team.