Senior Solutions Architect, Data Science & AI

About the Role:

As a Senior Solutions Architect for Data Science & AI at Aura you will be critical in designing and implementing solutions that directly contribute to our mission of online safety. You will bridge the gap between complex business challenges in digital security data and cutting-edge data science and machine learning capabilities. This role demands a deep understanding of data architecture machine learning principles and cloud computing coupled with the ability to guide cross-functional teams (data scientists data engineers product managers) in delivering impactful and privacy-preserving AI products data and features. You will play a key role in shaping Auras data and AI strategy ensuring our solutions are innovative scalable stable secure and deliver tangible value to our customers.

Day to Day:

• AI/ML Solution Design & Architecture:
• Lead the architectural design and technical roadmap for complex data science and AI initiatives focusing on areas like threat detection fraud prevention behavioral analytics content moderation and personalized safety recommendations.
• Translate business requirements and data science model specifications into robust scalable and secure technical architectures for data ingestion processing storage model training inference and MLOps.
• Evaluate and select appropriate AI/ML frameworks tools cloud services (e.g. AWS SageMaker Azure ML Google AI Platform) and data technologies to build optimal solutions.
• Design and optimize data pipelines for machine learning ensuring data quality governance and efficient feature engineering for our security products.
• Technical Leadership & Guidance:
• Provide expert technical leadership and mentorship to data scientists data engineers and ML engineers fostering best practices in architectural design code quality scalability and security.
• Champion MLOps practices including continuous integration/continuous deployment (CI/CD) for ML models automated model monitoring versioning and retraining strategies to ensure model reliability and performance in production.
• Drive technical discussions and decisions for Auras data and AI platforms ensuring alignment with overall technology strategy.
• Collaborate closely with product management and engineering teams to ensure AI solutions are integrated seamlessly into Auras product suite.
• Innovation & Proof-of-Concept:
• Architect and oversee the development of prototypes and proof-of-concepts (POCs) for novel AI applications in online safety demonstrating feasibility and business value.
• Stay at the forefront of emerging AI/ML technologies (e.g. Generative AI Large Language Models advanced anomaly detection) and research assessing their potential application within Auras product ecosystem.
• Actively contribute to Auras long-term data and AI strategy identifying new opportunities to leverage AI for enhanced customer protection.
• Security Privacy & Responsible AI:
• Design data and AI solutions with an unwavering focus on data security privacy and compliance with relevant regulations (e.g. GDPR CCPA).
• Embed principles of Responsible AI including fairness transparency explainability and bias mitigation into all architectural designs given the sensitive nature of online safety.
• Cross-Functional Collaboration & Communication:
• Effectively communicate complex technical architectures trade-offs and roadmaps to diverse audiences including senior leadership product teams engineering teams and potentially external partners.
• Foster a collaborative environment aligned with Auras One Team value facilitating knowledge sharing and consensus-building across technical

What you bring to the table:

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or Machine Learning. A Ph.D. is a plus.

• 8 years of progressive experience in software and data architecture with at least 5 years specifically focused on designing and implementing large-scale data platforms that support the deployment of Data Data Science and ML solutions.
• Proven track record of architecting and delivering production-grade machine learning models and data pipelines ideally within a cloud-native environment.
• Cloud Platforms: Deep expertise in one or more major cloud providers (AWS strongly preferred) and their respective data/AI services (e.g. AWS S3 Redshift Databricks and MLFlow).
• Data Technologies: Strong proficiency in data warehousing data lakes (e.g. Delta Lake) streaming architectures (e.g. Kafka Kinesis) ETL/ELT processes and robust data modeling for analytical and ML applications.
• Programming: Highly proficient in Python and Spark
• Databases: Experience with both SQL and NoSQL databases.
• Big Data Frameworks: Experience with distributed computing frameworks (e.g. Apache Spark Ray) is a plus.

Aura is committed to offering a generous package to support our employees in all aspects of their life in and out of work. Our packages offer competitive pay generous health and wellness benefits retirement savings plans parental leave and much more! Pay range for this position is $00 but may vary depending on job-related knowledge skills experience and location.

In keeping with our beliefs and goals no employee or applicant will face discrimination or harassment based on race color ancestry national origin religion age gender marital domestic partner status sexual orientation gender identity disability status or veteran status. Above and beyond discrimination or harassment based on protected categories Aura is committed to being an inclusive community where all feel welcome. Whether blatant or hidden barriers to success have no place at Aura.

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