We are seeking an innovative GenAI Engineering Lead to drive the adoption of Large Language Models and agentic flows to drive process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organization. You will also work with various technology teams to push the adoption of Generative AI technologies and agentic flows, across enterprise-wide applications and processes. Developing partnerships with third party providers to validate and adopt best-of-breed solutions. You will be joining us right at the beginning of our journey. We are seeking experienced software engineers who thrive in a results-driven environment, passionate about GenAI and who (just like us!) love programming. What you’ll do: Contribute to both, engineering and research; Take a product-focused approach and build solutions that are robust, scalable, and easy to use; Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning; Pair programming for our products, be lean in your approach and remove bureaucracy where you see it; Deliver fast, iterating and pivot as you go, rather than defining the perfect solution upfront; Develop foundational components and mature technology capabilities in AI and LLMs; Drive adoption across the enterprise. What we’ll need from you: Deep hands-on experience in engineering and executing enterprise solutions that scale; Fluency in at least two programming languages, with preference for Python, Javascript/Typescript, Golang; Pytorch, TensorFlow experience; Understanding of language models, transformers, agentic frameworks; Rich understanding of vector stores and search algorithms; Experience in Java 8, SpringBoot, Python, Oracle/MongoDB & Docker/Kubernetes/Open Shift, messaging platforms; Direct engineering experience of high performance, large-scale AI/ML systems; Have experience supporting fast-paced startup engineering teams; Experience in model risk management, guardrails development, and end-user adoption pathways of AI / GenAI solutions. Work Experience: At least 10+ years of experience in financial services / technology firms / start-ups; Strong hands-on experience with Agile delivery, product management, value stream methodologies; Strong communication skills and proven track record in producing quality project artefacts, including senior management reports within a technology or risk & controls domain; Ability to structure and run product working groups across diverse stakeholders to drive a consensus on requirements and develop and implement process, data, system designs; Motivated self-starter with ability to learn new skills quickly and navigate the organization. Education: Bachelor’s degree in IT, Computer Science, or engineering. Masters degree preferred. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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