Senior Software Architect

Design, develop, and deploy advanced deep learning models (e.g., 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.

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.

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.

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.

Masters or PhD in Computer Science, Applied Mathematics, Statistics, Physics , or a closely related quantitative discipline.

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 .

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.

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.

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 $3.7 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!