Sr Software Architect II

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions-even billions-in value leakage, we help businesses plan smarter and faster

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains

Senior Architect - Applied Research Deep Learning

We are seeking a highly experienced, intellectually curious Senior Architect with a strong foundation in Applied Mathematics, Statistical Modeling, and Deep Learning to lead the design, implementation and delivery of next-generation AI models and algorithms

In this role, you will operate at the intersection of business problem-solving, mathematical modeling, software development and Agentic AI development You will translate complex real-world problems into formal mathematical and statistical representations, design and implement advanced deep learning and Agentic systems, and ensure their reliable deployment in production environments

The ideal candidate combines software engineering, statistical modeling, AI techniques, and a strong passion for applied mathematics and innovation, with the ability to influence technical direction across teams

What you will do

Architectural Leadership
Own the end-to-end mathematical and statistical architecture of complex AI systems, from data integration and feature engineering to model training, inference, and monitoring
Design scalable, robust and secure AI models and algorithms capable of handling large-scale, complex enterprise systems, grounded in first-principles mathematical design
Establish architectural standards, design principles, and best practices for AI-centric systems across the organization

Applied Mathematics Statistical Modeling
Translate business and domain problems into mathematical, statistical, and agentic models
Apply foundational techniques from linear algebra, optimization, numerical methods, statistics, causal inference to improve model robustness and performance
Guide teams in selecting appropriate modeling approaches, loss functions, evaluation metrics, and validation strategies

Deep Learning
Design, develop, and deploy advanced deep learning models (eg, transformers, state-space, diffusion models)
Oversee the full model lifecycle, including experimentation, training, evaluation, deployment, and continuous improvement
Ensure models are production-ready, explainable where required, and aligned with business objectives

Model Optimization Performance Engineering
Optimize models and pipelines for speed, scalability, memory/compute efficiency, and accuracy
Apply techniques such as pruning, quantization, distributed training, and GPU/accelerator optimization
Collaborate with platform and infrastructure teams to maximize system-level performance

Technical Mentorship Influence
Act as a technical mentor and thought leader for AI engineers, AI scientists and software developers
Review designs, code, and models, providing guidance on architecture, quality, and maintainability
Elevate modeling maturity by promoting best practices in model design, algorithm development, coding, testing, and documentation
Strategy, Research Innovation
Evaluate, select, and evolve AI frameworks, libraries, tools, and cloud platforms
Stay current with cutting-edge research, industry trends, and emerging technologies in AI and applied mathematics
Drive innovation by identifying opportunities to apply advanced AI techniques to business challenges

What you will have

Education
Masters or PhD in Computer Science, Applied Mathematics, Statistics, Physics, or a closely related quantitative discipline
Professional Experience
10+ years of overall software engineering experience
5+ years of hands-on experience in applied mathematics, statistical modeling, and deep learning systems
Demonstrated experience architecting and deploying AI solutions in production environments

Deep Learning Expertise
Strong experience designing, training, and deploying deep learning models using modern AI frameworks
Solid understanding of the full ML lifecycle, including experimentation, deployment, monitoring, and retraining
Experience working with large datasets and distributed or high-performance computing environments

Mathematics Statistics
Deep expertise in linear algebra, multivariate calculus, probability theory, optimization, statistical modeling and causal inference
Ability to reason formally about model behavior, convergence, and performance trade-offs

Programming Engineering Skills
Expert-level proficiency in Python, including state-of-the-art mathematical, statistical, ML and agentic libraries
Strong software engineering fundamentals: data structures, algorithms, system design, and performance optimization
Experience with additional languages such as Scala, Kotlin or Rust is highly desirable

More about us

At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels-hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations

With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value

o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!