Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
We are looking for an innovative Lead AI/ML engineer to join our cutting-edge generative AI team. Our team develops a state-of-the-art gen-ai platform that creates domain-aware agents for financial operations, serving both internal processes and customer-facing products. We design and build scalable AI architectures and implement intelligent systems that operate within the complex world of finance. As a core part of Arcesium's technology innovation, we integrate our AI solutions into the firm's broader financial technology ecosystem, driving efficiency, accuracy, and insights throughout the platform.
What You'll Do:
- Design, develop, and implement complex AI/ML models and algorithms to solve business challenges
- Architect and build scalable AI/ML solutions using cloud technologies, particularly AWS
- Gather requirements, validate architecture, and create/review high-level and low-level designs for AI/ML projects
- Provide technical consultation on AI/ML technologies and solutions for various projects/products
- Create and review architectural decisions, ensuring the integration of AI/ML components with existing systems
- Ensure compliance of non-functional attributes (stability, scalability, performance, etc.) of AI/ML products to internal standards
- Guide and provide technical training on AI/ML topics, influencing business/technical decisions
- Own and execute AI/ML projects independently from an architectural standpoint
- Collaborate with cross-functional teams to integrate AI/ML solutions into production environments
What You'll Need:
- Bachelor's/Master’s degree in computer science, Machine Learning, AI/ML
- 5+ years of relevant experience in AI/ML, with a strong background in Python, Java, or similar languages
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Proven track record in designing and implementing end-to-end ML pipelines for enterprise-grade software
- Strong knowledge of AI/ML algorithms, statistical modeling, and deep learning techniques
- Familiarity with AWS services, especially those related to AI/ML
- Experience with Infrastructure as Code tools, particularly Terraform
- Familiarity with Gen-AI Agentic frameworks like Langgraph,
- Experience with MLOps practices and tools for model deployment and monitoring
- Experience building and productionizing Python-based products
- Familiarity with SRE principles as they apply to AI/ML systems
- Knowledge of AI ethics and responsible AI practices
- Experience with natural language processing (NLP) or computer vision projects
- Contributions to open-source ML projects or research publications
Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.
