AI Engineer

Position Overview: The Lead AI Scientist will be responsible to design, develop, and deploy AI-powered software solutions for Banks,

Credit unions & Financial giants. This role requires a deep understanding of AI technologies and the ability to collaborate effectively with

cross-functional teams.

Requirements

• 5+ years of experience in AI, ML, Gen AI, Agentic AI, NLP, Modelling & Real time decisioning systems

• Excellent programming skills in Python, research/innovation experience, strong communication & collaboration skills

• Hand-on experience in building Agents, prompt engineering, fine-tuning, transfer learning, Transformers, Deep Learning,

innovation & research

• Experience in enterprise SaaS platforms; fintech or banking domain, Conversational AI, experience in product based company is

strongly preferred.

• Experience in GCP cloud, MLOps practices for CI/CD in AI/ML, deploying the APIs (FastAPI) & vector data bases.

• Familiarity with Open Banking standards, APIs, data-sharing frameworks, embedding third-party AI tools/APIs into core product

workflows.

Key Responsibilities

• Contribute to AI vision aligned with product and platform strategy.

• Mentor other Agentic AI/AI/ML professionals providing guidance on best practices and technical expertise.

• Develop AI Agents, Gen AI/AI/ML Solutions, Custom data models and algorithms from conception to completion ensuring

quality & timelines

• Partner with Product & Engineering to develop secure, compliant, and scalable Agentic AI, Gen AI, AI & ML capabilities across

our customer-facing and internal platforms.

• Identify opportunities for AI integration and expansion across various products & services.

• Develop AI-powered features across the digital banking platform, including fraud detection, smart personalization, chat and

voice assistants, and intelligent automation.

• Champion AI used cases in open bankingpowering smarter financial decisions through data aggregation, partner integrations,

and predictive analytics.

• Drive integration of third-party AI tools and services into platform through APIs and SDKs.

• Establish and enforce best practices in model governance, quality management, bias mitigation, responsible AI & model

explainability.

• Stay updated with the latest advancements in Agentic AI/Gen AI/AI/ML and propose innovative solutions to enhance the

company's capabilities.