Generative AI Engineer

BCforward; Phoenix (AZ); Hybrid; USD 90,000 - 103,000; Full time

Job summary

BCforward seeks a Generative AI Engineer in Phoenix, AZ for a hybrid role. Local candidates only. You will design and implement automation tooling for security and development teams, integrating AI with secure SDLC practices.

The role requires strong Python, CI/CD, and GitHub automation experience, plus a track record in secure design reviews and enterprise security automation.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 3-5 years of automation and development in CI/CD.
• 3-5 years of software engineering experience.
• Experience with security tooling, secure design reviews, and SDLC integration.

Responsibilities

• Build automation tooling for security or developer efficiency.
• Integrate GitHub automation and API integrations.
• Embed security into CI/CD pipelines and development workflows.
• Collaborate across security and engineering teams.
• Research emerging threats and technologies in Generative AI security.
• Develop and maintain security automation tooling for visibility and best practices.
• Automate secure design reviews and PR checks across pipelines.
• Partner with development and security teams to drive secure adoption.
• Refine automation strategies to reduce manual overhead and enhance security.
• Support vulnerability management and attack surface reduction.

Skills

Python

Automation

GitHub automation

CI/CD pipelines

Security tooling

Agentic AI

Security leadership

Education

Bachelor's degree in Cybersecurity, Data Science, Computer Science or Software Engineering

Tools

LangGraph

AutoGen

CrewAI

APIs

Job description

BCforward is seeking a highly motivated and experienced Generative AI Engineer

Note: Candidate must be local to Phoenix, AZ.

Worksite: Phoenix, AZ. Hybrid job; must be local to AZ.

Pay Rate: $$65/hr W2 and $75 CTC

Must haves:

• Python, Development,
• AutomationDeployments
• Agentic AI development

Client is seeking 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, 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.

Primary Responsibilities

• Experience building automation tooling for security or developer efficiency
• Experience with GitHub automation and API integrations.
• Strong Experience of CI/CD pipelines and how to integrate security into development workflows.
• Ability to collaborate effectively across security and engineering teams.
• 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.
• Collaborate with development and security teams to ensure seamless adoption of security automation.
• Continuously refine automation strategies to optimize security effectiveness and reduce manual overhead.
• Support on-going vulnerability management efforts to ensure proper attack surface management.
• Proficiency in Python, with experience building automation tools for security or engineering teams
• A strong foundation in software engineering principles, including debugging, testing, and system design. An eagerness to learn about AI/ML, with opportunities to explore the intersection of AI and security.
• Work closely with our Engineering and Data science teams to securely design and implement new features and products.
• 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
• Operate as an integral member of Engineering team and advocate for security best practices across the organization.
• Strong understanding, experience with OWASP Top10 and industry best practices within Generative AI security.

Security and Technical Experience

• Strong experience in Python and/or Java, with hands-on AI/ML development
• Knowledge of agent frameworks (e.g., LangGraph, AutoGen, CrewAI, custom orchestration)
• Understanding of AI lifecycle management, including model integration, evaluation, and observability
• Experience with APIs, microservices, and cloud-native architectures
• This role will focus on building internal security tools, automating secure design reviews, and integrating security guidance directly into pull requests.
• Your work will empower both the security and development teams by reducing friction in the security review process and ensuring best practices are embedded seamlessly into the Software Development Lifecycle (SDLC)
• Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes
• Experience building automation tooling for security or developer efficiency.
• Experience with GitHub automation and API integrations.
• Strong Experience of CI/CD pipelines and how to integrate security into development workflows.
• Experience performing POC’s regarding security tooling, zero-day vulnerabilities and emerging risks.
• Familiarity with database architectures: Oracle, SQL and NoSQL Databases.

Desired Skills:

• Information security professional certifications encouraged, such as SANS GIAC, CISSP, Generative AI certifications.
• Experience mentoring application security and secure development practices to the team.
• Master's 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.

Minimum Qualifications

• Bachelor’s degree in Cybersecurity, Data science, Computer Science or Software Engineering.
• 3-5years’ experience with Automation and Development in CI/CD.
• 3-5 years of software engineering experience.