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Generative AI Security Engineer – Agentic AI & Secure SDLC Automation

Iconma Portal

Job Location:

Phoenix, AZ - USA

Hourly Salary: USD 45 - 45

Posted: 23 October 2026 (13 hours ago)

Application Deadline: 20 January 2027

Vacancies: 1 Vacancy

Job Summary

Our client an IT Services and Consulting company is looking for a Generative AI Security Engineer Agentic AI & Secure SDLC Automation for their Phoenix AZ/ Hybrid location.

Responsibilities:

Client is seeking Senior Engineer-Generative AI Automation with proven strong technical competence and leadership capability to contribute towards the success of enterprise-wide Security initiatives. Senior Engineer-Generative AI Automation serves as a subject matter expert in Generative AI and agentic engineering with hands-on experience building production-grade agents using platforms and coding agents such as Anthropic Claude/Claude Code and OpenAI Codex automates integrations and plays an integral role in managing monitoring & reporting on Generative AI Agentic AI security risk reduction design build and operationalize autonomous AI agents that drive secure scalable and intelligent automation across the enterprise and supports the security champion practice by evangelizing security principles and controls.
Conduct research on emerging threats vulnerabilities and technologies to stay updated on the evolving security landscape.
Develop and maintain security automation tooling to enhance visibility enforce security best practices and streamline processes.
Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines.
Design and develop agentic AI systems that autonomously plan execute and adapt tasks across complex workflows
Integrate agents with enterprise systems APIs data sources and security platforms
Build Secure SDLC agents that embed security across the software lifecycle including requirements and secure design review threat modeling code review dependency and vulnerability analysis remediation guidance pull-request checks and release/security gates.
Design agents that securely interact with source control CI/CD issue tracking security scanners cloud services internal APIs and developer tooling while enforcing least privilege secrets protection authorization boundaries auditability and approval workflows.
Establish agent quality and security evaluation practices covering task success groundedness code quality secure coding prompt-injection resistance data leakage unsafe tool use permissions reliability latency and cost.
Apply secure-by-design engineering to AI-assisted development including sandboxing policy enforcement telemetry/observability traceability red-team testing and controls for agent-generated code before merge or deployment.
Provide technical leadership and mentorship for agent architecture AI-assisted engineering secure coding and production readiness; translate emerging agent capabilities into scalable enterprise engineering patterns.

Requirements:

Experience building automation tooling for security or developer efficiency
Proficiency in at least one scripting language (Python JavaScript or Bash) and familiarity with a compiled language (Go Rust or Java)
Experience with GitHub automation and API integrations.
Strong understanding experience with OWASP Top10 and industry best practices within Generative AI security.
Knowledge of agent frameworks (e.g. LangGraph AutoGen CrewAI custom orchestration)
Understanding of AI lifecycle management including model integration evaluation and observability
Demonstrated senior-level experience designing building and productionizing autonomous and semi-autonomous AI agents including planning tool use memory/context management multi-agent orchestration human-in-the-loop controls and failure recovery.
Hands-on experience with leading AI coding and agent platforms such as Anthropic Claude/Claude Code and OpenAI Codex including prompt/instruction design tool integration API/SDK usage evaluation guardrails and enterprise adoption patterns.
Experience creating reusable agent tools skills workflows and orchestration patterns using frameworks such as LangGraph AutoGen CrewAI custom orchestration and tool-protocol patterns such as Model Context Protocol (MCP).
Experience performing POCs regarding security tooling zero-day vulnerabilities and emerging risks.
Familiarity with database architectures: Oracle SQL and NoSQL Databases.
Information security professional certifications encouraged such as SANS GIAC CISSP Generative AI certifications.
Experience mentoring application security and secure development practices to the team.
Masters Degree Cyber Security Data Science Computer Science or Software Engineering
Machine Learning Operation Professional Certifications.
Strong knowledge of Adversarial Robustness techniques and tools for machine learning.
Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices.
Bachelors degree in Cybersecurity Data science Computer Science or Software Engineering.
10 years experience with Automation and Development in CI/CD.
10 years of software engineering experience.
5 Years of Cybersecurity.
2 years of Generative AI experience.
Hands-on experience delivering agentic AI or AI coding-agent solutions into production preferably within security developer productivity or Secure SDLC workflows.
Generative AI & Agentic Engineering: Hands-on experience building production-grade autonomous/semi-autonomous agents using platforms and frameworks like Anthropic Claude/Claude Code OpenAI Codex LangGraph AutoGen CrewAI and Model Context Protocol (MCP) covering multi-agent orchestration tool use memory management and prompt engineering.
Security Automation & Secure SDLC: Deep expertise in developing security automation tooling integrating security checks into CI/CD pipelines and pull request workflows designing secure-by-design AI architectures and embedding security across the software lifecycle (threat modeling secure code reviews and vulnerability analysis).
Software Engineering & Scripting Proficiency: Strong foundational background in software development with proficiency in at least one scripting language (Python JavaScript or Bash) familiarity with compiled languages (Go Rust or Java) and experience with GitHub automation API integrations and database architectures.
Years of Experience: 10.00 Years of Experience