Artificial Intelligence / Machine Learning Security Architect

Barclay Simpson - United States (30+ days ago)

Artificial Intelligence / Machine Learning Security Architect – Cybersecurity, AI, Robotics, Permanent/Contract, Banking, ANY USA / Remote

Artificial Intelligence / Machine Learning / Robotics / Automation / Algorithms

Our leading nationwide banking client is requiring an Artificial Intelligence / Machine Learning Security Architect to lead the firm’s AI function. The ideal candidate combines subject matter expertise in AI/ML with a deep appreciation for financial industry products and services, and will explain to senior leadership as well as technical personnel not just what can go wrong but what it means to the business, its customers and shareholders. The Architect will help design and participate in enterprise-wide governance activities around the orderly analysis, supervision, maintenance and control of machine learning technologies, and will actively participate and keep abreast of cutting edge research into strengths, weaknesses and concerns associated with machine learning technology.

Open to both contract and permanent profiles.

Main responsibilities;

Subject matter expertise in artificial intelligence / machine learning topics
Apply and interpret application security objectives in context of designated platforms
Identify, champion, and supervise the implementation of defensive controls, methods and processes within Bank applications
Contribute to the development of enterprise application security objectives and metrics
Pro-actively engage stakeholders, including development managers, developers, architects, and governance bodies in the Bank to achieve security objectives
Collaboratively develop technical architectures, processes and procedures pursuant to application security objectives together with business and technical partners
Deliver training and collaborate with internal and approved external knowledge-sharing bodies
Develop processes and procedures to advance application security objectives, suitable for adoption throughout the Bank


Experience with adversarial testing of machine learning algorithms / systems
Knowledge of at least one application security testing methodology or approach, including formal methods, system level security, SAST / DAST, threat modeling, ethical hacking and crowd-sourcing
Expert knowledge of one or more artificial intelligence technologies, such as neural networks, clustering systems, prediction systems, and supervised learning systems
Familiarity with contemporary application and networking standards, including IETF (e.g., HTTP, TLS, and networking), W3 (e.g., HTML, Javascript, DOM) as well as platform-specific standards
Exposure to application security testing techniques
Familiarity with at least one domain specific language, such as; R, SQL, Matlab, VBE, Make, Bash, Powershell
Able to work with data using tools in the Hadoop ecosystem and traditional relational databases. Experience with Apache Impala, Apache Spark, and Python libraries like pandas is a plus.

Successful candidates will have the ability to work autonomously and be able to bridge the gap between deep technical knowledge and AI initiatives across the firm in order to influence business development and information security protocols across the company. If you are interested in the opportunity please respond via this advertisement or email Jordan Fitzpatrick on