Principal Software Engineer - Data and AI - Accelerator Business

JOB DESCRIPTIONOut of the successful launch of Chase in 2021, we’re a new team with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at the company within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you’ll have the opportunity to move between them. While we’re looking for professional skills, culture is just as important to us. We understand that everyone’s unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there’s scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world.ResponsibilitiesDesign and develop scalable, self-service solutions for documentation, SDKs, configurations and pipelines to enable rapid deployment of GenAI applications (including Retrieval-Augmented Generation (RAG) pipelines) and agents with planning, memory, and workflow orchestrationImplement tools and frameworks for model versioning, experiment tracking, and lifecycle managementDevelop systems to monitor model performance and address data and model driftRecommend best practices for model integration and deployment patternsDesign and implement effective testing strategies, including unit, component, integration, end-to-end, performance, and champion/challenger tests, establish output validation best practices, recommendations and guardrails to reduce hallucinationsEnsure platform compliance with data privacy, security, and regulatory standardsMentor team members on platform design principles and best practicesGuide colleagues on coding practices, design principles, and implementation patterns for high-quality, maintainable solutionsDeploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performanceDesign microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops to continuously improve reliability and utilityRequired qualifications, capabilities and skillsDemonstrate proficiency in Java and/or Python programming languagesDeployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS

Bedrock, or LangChainUtilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applicationsPrevious experience deploying and managing LLM-model based applications and agentsExposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector BucketsExposure to cloud-native microservices architectureFamiliarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP)Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK)Strong communication skills for both technical and non-technical audiencesPreferred qualifications, capabilities and skillsExperience working in highly regulated environments or industriesExperience with distributed computing, data sharding, and performance optimizationDemonstrated experience in financial services, particularly retail banking operations #J-18808-Ljbffr