AI Development Solution Engineer (Level 4 ) ...

Job Title: AI Development Solution Engineer (VP) About Us: Brokerage is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. We advise, originate, trade, manage, and distribute capital for governments, institutions, and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve, and grow. Technology: Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast, and flexible. Technology redefines how we do business in global, complex, and dynamic financial markets. We have many award-winning technology platforms that help propel our Firm's businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally, taking global ownership of systems and products. There is a large focus on innovation, giving back to the community, and sharing knowledge. Technology Architecture and Modernization: Technology Architecture & Modernization (A+M) unites a highly inter-connected set of functions in a pivotal role driving the overarching technical framework, product delivery, and developer enablement teams at the center of Brokerage's technology strategy. Combining efforts to modernize technologies, architecture, and development practices, A+M drives the Firm's multi-year Technology Modernization roadmap to more effective and innovative technology platforms, enabling our business to serve evolving client demands in a highly competitive industry. Job Description: Brokerage has been at the forefront of the AI journey with applications such as Genome and Assistant that use AI to provide better, personalized advice to our clients. Generative AI provides unique opportunities to provide new capabilities to the firm's internal users as well as our clients. This role is for a senior engineer who will help build a firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience in building software platforms, data engineering, API-based development, REST framework, etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product improvements. Primary Responsibilities: Build POC's and example code through which developers can access Gen AI models via standard APIs. Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer experience when building and deploying AI applications. This is a customer-facing role and excellent soft communication skills are mandatory. Integrate with capabilities such as large-scale vector stores for embeddings. Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face, etc., and libraries such as Langchain and Semantic Kernel. Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. Contribute to major design decisions and product selection for building Generative AI solutions. Required Skills: Strong hands-on Application Development background in at least one prominent programming language, preferably Python. Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy, and security. Demonstrated experience in DevOps, understanding of CI/CD. Hands-on experience with managing code in code repositories such as Bitbucket and GitHub. Experience deploying resources to the cloud and using Terraform to do so. Ability to articulate technical concepts effectively to diverse audiences. Strong desire and ability to influence development teams and help them adopt AI. Demonstrated ability to work effectively in a global organization and across time zones. Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch. Understanding of Information Security, Secure coding practices. Desired Skills: Experience working with application development teams to enable them to build AI-based applications. Ability to create code samples to be shared with application teams. Experience working with cloud providers, preferably Azure, but also AWS, GCP. Experience building applications using AI development services on prominent cloud platforms such as Azure Cognitive Services, AWS Sagemaker, Google Vertex AI. Experience working in a large, regulated industry such as Financial Services, Insurance, etc. Experience building AI applications, preferably Generative AI and LLM-based apps. Experience working with Generative AI development, embeddings, fine-tuning of Generative AI models. Understanding of Model Ops/ML Ops/LLM Ops. Qualifications: Bachelor's or a master's degree in computer science or related field, or equivalent job experience. 8 - 12 years of experience in software engineering, design, and development. #J-18808-Ljbffr

Created: 2025-03-13