Job Openings Senior Engineering Manager - Artificial Intelligence

About the job Senior Engineering Manager - Artificial Intelligence

Our client is a pioneer in online trading. They enable customers to trade on the world's financial markets. Focused on customer-centric solutions, they aspire to be the world's leading online trading service provider.

This is a hands-on leadership role for a dynamic, technically deep professional who has evolved from full-stack development to solution architecture and now drives AI-first product and platform delivery.The job holder will lead a team of 25 engineers, architect innovative AI solutions, and ensure scalable, seamless integrations across multiple high-impact projects.

Key Responsibilities

Lead AI Development

  • Design and develop advanced AI solutions: deep learning, reinforcement learning, graph neural networks
  • Implement NLP using spaCy, Hugging Face, Gen-AI APIs
  • Architect and manage vector search systems (Weaviate, Pinecone, Milvus)
  • Drive integration of Gen-AI (GPT, DALL-E, GANs)
  • Apply models like BERT, T5, ViT in NLP and computer vision

Strategic & Technical Management

  • Define AI tech roadmaps aligned with business goals
  • Guide cloud-based architecture decisions
  • Oversee resource allocation and delivery across multiple AI projects
  • Collaborate with product, data, and engineering teams for AI adoption

Build and Grow Talent

  • Lead and grow a high-performing AI engineering team
  • Mentor engineers, foster a culture of innovation and learning
  • Drive recruitment and career development initiatives

Key Requirements & Skills

  • Expert in Python, TensorFlow, PyTorch, scikit-learn
  • Strong in vector DBs, similarity search, Gen-AI, reinforcement learning
  • Experience with MLOps, big data (Spark, Kafka), and cloud/edge platforms
  • 7+ years in AI/ML, with 3+ years managing teams
  • Proven delivery of complex, enterprise-grade AI projects
  • Strong stakeholder and project management skills
  • Strategic thinking and a solution-driven mindset
  • Passion for building future-ready teams and platforms
  • Bachelors or Masters degree in Computer Science or Engineering
  • Contributions to AI research or products