AI Developer (UI/UX frontend owner, incl. chatbots, voice bots & API/platform integration)

Santander Bank

70d • $108,750 - $180,000

About The Position

Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities.

Requirements

• Bachelor's Degree or equivalent work experience in Computer Science/Software Engineering or equivalent field.
• Strong hands-on experience in AI/ML development with NLP/NLU frameworks (e.g., Rasa, Dialogflow, Microsoft Bot Framework, OpenAI, AWS Lex).
• Proven experience building and integrating chatbots, voice bots, and RAG-based applications.
• Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS) and embedding models for retrieval pipelines.
• Understanding of Model Risk Governance frameworks, AI/ML model validation, and compliance practices.
• Familiarity with enterprise architecture principles and participation in architecture/design review processes.
• Experience with APIs, microservices, and cloud platforms (AWS, Azure, or GCP).
• Strong knowledge of security and compliance requirements in financial services.
• Strong programming skills in Python, Java, or C#.
• Knowledge of REST APIs, JSON, webhook integrations, and RAG pipelines.
• Familiarity with speech recognition and voice AI technologies.
• Excellent communication and stakeholder management skills.
• Ability to work in highly regulated environments with attention to governance.

Nice To Haves

• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
• Experience in Microsoft Office products.
• Experience working in financial services, banking, or fintech environments.
• Familiarity with regulatory frameworks impacting AI/ML in financial institutions (e.g., SR 11-7, OCC, Basel, GDPR, AI Act).
• Experience with risk assessment methodologies and working with risk/compliance teams.

Responsibilities

• Build, deploy, and maintain chatbot and voice bot flows using NLP/NLU frameworks and conversational AI platforms.
• Design and implement Retrieval-Augmented Generation (RAG) solutions to improve knowledge-grounded AI responses by integrating vector databases, embedding models, and external knowledge sources.
• Connect conversational systems to Contact Center as a Service (CCaaS) platform, CRM systems, APIs, and other enterprise applications.
• Ensure AI models and applications comply with model risk management policies (e.g., SR 11-7, OCC/ECB guidelines).
• Participate in internal reviews, model validations, and risk assessments.
• Work with enterprise architecture teams to ensure AI solutions align with security, scalability, and compliance standards.
• Monitor bot and RAG system performance, conduct error analysis, and refine conversational and retrieval pipelines to improve user experience.
• Partner with product, compliance, architecture, and risk teams to ensure AI solutions meet both business needs and regulatory standards.

Benefits

• Base Pay Range Minimum: $108,750.00 USD
• Base Pay Range Maximum: $180,000.00 USD

What This Job Offers

• Job Type: Full-time
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree