Senior AI Lead, Qantev

• This role requires a balance of hands-on technical leadership, architectural oversight, and strategic vision to translate cutting-edge AI research into production-level solutions that deliver business value
• S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field
• 6+ years of experience in AI/ML development, with a strong track record in deep learning
• Expertise in building and deploying models using PyTorch, TensorFlow, or JAX
• Experience with transformer architectures, diffusion models (e,g. Gemini Diffusion) and reinforcement learning
• Proven experience with agent frameworks (e.g., LangGraph SmolAgent, Swarn)
• Experience with LLMOps - (e.g. Langsmith, Langfuse)
• Strong understanding of knowledge graphs, planning systems, memory modules, and retrieval-augmented generation (RAG)
• Experience leading AI research or applied ML teams
• Strong software engineering skills, including experience with large-scale ML pipelines
• Be Pro-active, Product minded and Business driven
• Strong leadership and team-building skills with a proven ability to inspire, motivate, and develop data scientists & ML engineers
• Excellent problem-solving, analytical, and troubleshooting skills
• Strong written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• Ability to work in a fast-paced, dynamic environment, managing multiple priorities and deadlines
• If this opportunity excites you but you do not meet every single requirement, we still want to hear from you. At Qantev, we believe that diverse perspectives drive innovation, and every application brings value, whether it leads to success or learning

Desirable

• Qantev is a cutting-edge AI company focused on transforming the health insurance industry. Its platform helps insurers enhance healthcare delivery and streamline claims management through the power of advanced Machine Learning and Generative AI
• By analyzing historical health claims data, Qantev predicts patient journeys, improves health outcomes, and optimizes operations for payers. This data-driven approach enables more efficient, personalized, and impactful healthcare experiences for millions of people worldwide
• Make a meaningful impact in healthcare through the application of advanced technology
• Work with a diverse and passionate team at the forefront of AI innovation
• Collaborate in a fast-moving, international environment
• Contribute to a mission-driven company revolutionizing health insurance operations
• We are seeking a Senior AI Lead with deep expertise in Deep Learning, Foundation Models, and Agentic AI systems to drive our next generation of intelligent applications
• You will lead a high-performing team of data scientists and ML engineers in developing AI-driven SaaS Product for Healthcare industry
• Technical Leadership: Lead the design and development of deep learning models and agent-based AI architectures for Qantev’s Healthcare Claims Data Platform
• Research & Development: Stay at the forefront of AI advancements in areas such as transformer-based models, reinforcement learning, multi-agent systems, and LLM-based tool use
• Agentic AI Development: Architect and deploy AI agents with capabilities including long-term memory, planning, reasoning, and autonomous tool use
• Team Management: Mentor a team of AI scientists and ML engineers, fostering an environment of innovation and collaboration
• Product Integration: Work cross-functionally with product, engineering, and UX teams to bring AI solutions from prototype to scalable product
• Evaluation & Metrics: Establish benchmarks, A/B tests, and interpretability metrics for model performance and agent behavior
• Ethics & Safety: Champion responsible AI practices, including model transparency, fairness, and compliance with Privacy & Security policies & practices
• Contract Type: Full-Time
• Start Date: 05 January 2026

• Screening interview (30min)
• Quantitative Interview (1h)
• Coding / System Design Interview (1h)
• Leadership Interview (1h)