AI Security Engineer

As an AI Security Engineer, you will work at the intersection of software engineering, cybersecurity, and artificial intelligence. You will design and build security tools, assess AI-powered applications for vulnerabilities, evaluate third-party and open-source AI technologies, and help establish secure development standards for AI systems.

This is a hands-on engineering role for someone who enjoys building solutions, solving complex technical problems, and exploring emerging security risks across technologies such as Generative AI, RAG, and agentic systems.

What You'll Do

• Design, build, and implement tools for AI security testing, penetration testing, red teaming, and continuous vulnerability assessment.
• Develop mock and test AI applications to evaluate internal and third-party AI security solutions.
• Identify and assess security risks within AI-enabled applications and workflows.
• Develop security requirements, standards, and best practices for securely building and deploying AI applications.
• Evaluate third-party vendors, open-source tools, libraries, and AI technologies from a security perspective.
• Integrate security testing and evaluation capabilities into CI/CD pipelines and development workflows.
• Build scalable security tooling and automation that can be adopted across different teams and environments.
• Troubleshoot applications and solve complex engineering and security problems.
• Partner with engineering teams, security professionals, customers, vendors, and business stakeholders to understand requirements and deliver practical solutions.
• Create clear technical documentation covering tools, features, security assessments, testing methodologies, and findings.

What You'll Bring

• 5+ years of software development experience building and supporting production applications.
• Strong hands-on programming experience with Python.
• Experience working with RESTful APIs and structured data formats such as JSON, XML, CSV, and HTML.
• Experience with CI/CD pipelines and modern software development practices.
• Strong Linux and scripting skills.
• Experience troubleshooting and supporting production applications.
• Understanding of core application security concepts, including authentication, authorization, encryption, secrets management, and secure development practices.
• Experience with Microsoft Azure, including foundational cloud networking and security concepts.
• Understanding of modern AI application architectures, including Retrieval-Augmented Generation (RAG), LLM-based applications, and agentic systems.
• Ability to make sound engineering design decisions, solve technical problems, and continuously improve systems and tooling.
• Strong communication and collaboration skills, with the ability to work effectively with engineers, security teams, leadership, customers, and vendors.

Nice to Have

• Experience with penetration testing, application security testing, or security red teaming.
• Hands-on experience assessing the security of Generative AI or LLM-based applications.
• Familiarity with AI security risks such as prompt injection, data leakage, insecure tool usage, and adversarial testing.
• Security certifications such as CISSP or equivalent.
• Experience building or integrating automated security testing into CI/CD pipelines.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.