Citizens Financial Group, Inc. is hiring a Full Stack Software Engineer for a Principal-level role focused on building Generative AI (GenAI) solutions and designing Agentic experiences integrated into the Software Development Life Cycle (SDLC). You will develop intelligent agents and AI-driven workflows to enhance automation, decision-making, and developer productivity across our engineering platforms.

What You'll Do

Participate in an Agile environment, adhering to best practices and collaborating effectively with teammates.
Collaborate and contribute insight to solution design ideation, ensuring product success and adherence to enterprise architecture principles.
Design, modify, develop, and implement software solutions to meet mission-driven strategic business goals.
Infuse quality of service characteristics like scalability, manageability, and maintainability into a distributed service-based framework.
Employ industry best practices to evaluate, correct and prevent vulnerabilities during the software development process.
Serve as a peer-leader, encouraging a culture of innovation and accountability.
Design and implement GenAI-powered applications and agentic workflows embedded within SDLC tools and processes.
Build and integrate RAG (Retrieval-Augmented Generation) pipelines for enterprise-scale AI solutions.
Develop APIs, microservices, and integration layers that enable AI-driven automation across engineering platforms and CI/CD pipelines.
Implement vector database solutions for semantic search and knowledge retrieval; optimize embedding strategies and latency.
Collaborate with product, architecture, security, and DevOps to embed AI capabilities into build/test/release workflows.
Ensure compliance with security, privacy, and responsible AI standards, including model evaluation, guardrails, and human-in-the-loop review.
Establish observability for AI systems to measure accuracy, drift, latency, and cost; drive continuous improvement cycles.

What We're Looking For

7+ years of hands-on software development with experience supporting commercial software products.
Demonstrated ability to lead and mentor software engineers.
5+ years experience in querying, analyzing, and managing big data.
Mastery of multiple programming languages, including at least one front-end framework such as Python3, Java, JavaScript, Ruby, Golang, C, C++.
Cloud experience (AWS/Azure/GCP), including managing sensitive assets.
Bash and Linux experience.
CI/CD pipeline experience (CircleCI, Jenkins, GitHub Actions, or equivalent).
Strong communication and interpersonal skills.
Cloud certifications such as AWS Solutions Architect, AI/ML Certifications.
Understand data structure concepts such as linked lists, dictionaries, arrays, and custom object creation.
Hands-on with LLM frameworks/services and agent orchestration patterns.
Proficiency in RAG techniques, embedding models, and vector databases.
Familiarity with ML/LLM deployment, prompt engineering, fine-tuning, and evaluation/guardrail techniques.
Experience with containerization and orchestration (Docker, Kubernetes) and integrating AI services into CI/CD.
Understanding of responsible AI, privacy, and security considerations for production AI systems.

Nice to Have

3+ years of experience in the financial services industry, developing solutions for consumer banking, portfolio management, trading, compliance, or wealth management.
Understanding of banking system and custodial and consumer banking operations.
Prior work embedding AI into developer platforms.
Experience implementing observability/evaluation agents for monitoring AI workflow performance.
Exposure to model governance and risk management practices.