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AI ML Architect

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+ Location:Offsite, RTP, North Carolina, US

+ Area of InterestInformation Technology

+ Compensation Range128400 USD - 172300 USD

+ Job TypeProfessional

+ Technology Interest*None

+ Job Id1444933

Cisco’s Security Visibility and Incident Command (SVIC) is looking for an AI ML Architect to lead the design and strategy for SVIC’s innovative AI/ML initiatives. The candidate is expected to architect and guide the development of solutions demonstrating security and vulnerability data and logs processed by the SVIC team, significantly advancing our threat detection mechanisms through innovative anomaly detection and other AI/ML models. The ideal candidate should possess deep expertise in AI/ML architecture, system design, and various domains of information technology, including, but not limited to, software development, data science, data engineering, security, and big-data solutions. The candidate will work independently and lead team members to design, architect, deploy, govern, and support robust and scalable solutions for security event detection, analysis, incident response, investigations, and forensics.

The ideal candidate must enjoy working in a fast-paced dynamic environment with a “take-charge” / “can-do” attitude and is able to demonstrate flexibility and resiliency. The successful candidate must be an inspiring leader, self-sufficient, and able to provide technical leadership and mentorship with minimal supervision. Work with geographically distributed teams across different time zones. Extensive experience in IT security, particularly with cloud technologies and IaaS platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, etc., will be a big plus.

The responsibilities of the position include the following:

+ Designing and implementing scalable, resilient, and high-performance AI/ML architectures for threat detection using security data and telemetry.

+ Leading the technical vision, strategy, and roadmap for AI/ML solutions within SVIC.

+ Overseeing the end-to-end lifecycle of AI/ML projects, from conceptualization and architectural design through to deployment, monitoring, MLOps, and continuous improvement.

+ Guiding the development of advanced anomaly detection AI/ML models and other machine learning solutions.

+ Establishing guidelines and patterns for developing detections (plays) maximising python/notebooks and other relevant technologies.

+ Employing deep expertise in AI/ML architecture, data engineering, and data science to drive the maturation of Cisco's cybersecurity operations, and enable knowledge sharing and AI/ML learning across teams.

+ Architecting and overseeing the automation of analytical processes used to identify potentially critical security vulnerabilities, applying data from threat intelligence tools and external, open-source data sources.

+ Leading the architectural design and implementation of predictive analytics capabilities around threats, vulnerabilities, and security incidents.

+ Leading collaborations with Cyber Security, Engineering, and Product teams on multi-functional AI/ML initiatives, analytics, and automation.

+ Defining, establishing, and enforcing standards and guidelines for data quality, data governance, and model management in AI/ML systems.

+ Providing architectural oversight and guidance on data engineering pipelines and infrastructure required to support AI/ML solutions.

+ Mentoring and guiding data scientists and ML engineers on AI/ML guidelines, architectural patterns, and new technologies.

+ Evaluating, prototyping, and recommending new AI/ML technologies, tools, frameworks, and methodologies to enhance SVIC’s capabilities.

+ Ensuring AI/ML solutions align with security, privacy, ethical considerations, and responsible AI principles.

Relevant Technologies

The following technologies are in scope for the position.

+ Strong Python development skills and experience with common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) (required).

+ Deep knowledge of data science tools, packages, various ML model architectures (e.g., deep learning, NLP, reinforcement learning), and their trade-offs (required).

+ Tried experience in architecting, developing, and deploying production-grade AI/ML systems at scale (required).

+ Expertise in designing and deploying AI/ML solutions on cloud platforms (AWS, Google Cloud Platform, Azure), including their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML) (required).

+ Strong experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, CI/CD for ML) (required).

+ Proficiency in designing data pipelines, data warehousing solutions (e.g., Snowflake, BigQuery), and working with big data technologies (e.g., Spark, Kafka) for AI/ML.

+ Splunk Query Language, Scripting using regular expressions (good to have).

+ Working with security data (e.g., SIEM, EDR, network logs) and knowledge of information security domains (highly desirable).

Job Requirements

The following skills and competencies are required for the position:

+ BS/MS (PhD preferred) in Computer Science, AI, Machine Learning, Data Science, or a related quantitative field, and 8-10+ years of experience in AI/ML, with at least 3-5 years in an architectural or technical leadership role.

+ Extensive experience in designing, building, and deploying complex AI/ML models and end-to-end systems in production environments.

+ Deep understanding of IT infrastructure, software development lifecycle (SDLC), microservices architecture, and cloud-native technologies.

+ Some experience with a wide variety of security technologies and concepts.

+ Consistent record of architecting and delivering successful, large-scale AI/ML solutions that have a significant business impact.

+ Strong problem resolution/analytical skills required to understand and design complex AI/ML system interactions and data flows.

+ Strong work prioritization, strategic planning, and organizational skills, with experience leading complex technical projects.

+ Excellent listening, communication (verbal and written), and relationship-building skills, with the ability to articulate complex technical concepts to diverse audiences (both technical and non-technical customers).

+ Strong documentation skills with meticulous attention to detail, especially for architectural designs and technical specifications.

+ Strong solving and debugging skills for complex AI/ML systems.

+ Demonstrated ability to lead projects and provide technical direction to teams with minimal guidance throughout the entire lifecycle of a project.

Additional Qualifications

In addition to the above requirements, the ideal candidate should also possess one or more of the following competencies:

+ Relevant certifications in AI/ML, Cloud Architecture (e.g., AWS Certified Solutions Architect - Professional, Google Professional Machine Learning Engineer, Azure AI Engineer Associate), and/or Security (e.g., CISSP).

+ Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) for deploying and handling AI/ML infrastructure.

+ Publications or presentations in reputable AI/ML or cybersecurity conferences/journals.

About Cisco SVIC Cisco's Security Visibility and Incident Command Team (SVIC) is recognized across the globe as a leader in Information Security and Incident Response operations. Our team of ~100 people comprises industry veterans, renowned security guides and authors, and up and coming security professionals. We are the investigative branch of Cisco's Security and Trust Organization (S&TO) and provide Cisco with tailored security monitoring and response services to protect from network charges and intellectual asset loss. We welcome dedicated and driven individuals to be part of our elite team.

Why Cisco At Cisco, each person brings their unique talents to work as a team and make a difference. Yes, our technology changes the way the world works, lives, plays and learns, but our edge comes from our people.

+ We connect everything – people, process, data and things – and we use those connections to change our world for the better.

+ We innovate everywhere - From launching a new era of networking that adapts, learns and protects, to building Cisco Services that accelerate businesses and business results. Our technology powers entertainment, retail, healthcare, education and more – from Smart Cities to your everyday devices.

+ We benefit everyone - We do all of this while aspiring for a culture that empowers every person to be the difference, at work and in our communities.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put – we power the future.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

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