Lead AI Engineer

We're working with a leading global risk intelligence firm that’s at the forefront of identifying and alerting customers to emerging risks in real time using advanced AI solutions.The Role Architect and build scalable AI systems that identify and alert customers to emerging risks Lead the design and deployment of production-grade AI platforms combining structured/unstructured data, retrieval systems, orchestration, and large language models Provide technical leadership across AI engineering initiatives, defining system architecture and long-term platform strategy Lead production deployment and lifecycle management of LLM applications across cloud platforms Drive system design decisions for distributed AI services, real-time processing, and high-throughput data pipelines Establish best practices for AI engineering, MLOps, testing, deployment, monitoring, and model governanceWhat You'll Need Master's or Ph.D. in Computer Science, Engineering, Machine Learning, Data Science, or related field 8+ years of experience building production-grade machine learning, AI, or distributed backend systems Strong experience designing scalable AI platforms and LLM-powered applications in production environments Deep expertise with GenAI systems, including LLM orchestration, prompt engineering, RAG architectures, and inference optimization Proficiency in Python and SQL, with experience handling large-scale and real-time data processing workloads Hands-on experience deploying and operating LLMs using cloud-native AI tooling and platformsWhat's On Offer Opportunity to work on mission-critical AI-driven risk intelligence solutions Direct hire opportunity with competitive compensation Collaborative environment with focus on technical leadership and mentorship Comprehensive benefits package including medical, dental, vision, and 401KApply via Haystack today!