Director, Applied AI & Agentic Platform Engineering

Key Responsibilities

• Platform Architecture & Development: Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.
• Techical Leadership & Hands-On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example.
• Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability.
• Strategic Roadmapping: Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant technical solutions.
• Cross-Functional Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.
• AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges.
• Operational Excellence: Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability.
• Business Impact: Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth.
• Compliance & Security: Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry.

Qualifications & Experience

• Education: Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience: 12+ years of experience in software engineering, with at least 4+ years in a leadership role, leading high-performing engineering teams.
• Hands-On Leader: Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.
• Platform Building: A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.
• Domain Knowledge: Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable.
• Communication Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals.
• Technical Skills: AI / GenAI / Agentic Platforms, LLM & Agentic Frameworks, Multi-Agent Systems, Model Context Protocol (MCP) & Integrations, Knowledge Graphs & Reasoning, RAG & Knowledge Systems, Model Lifecycle & Governance, Secure coding, API security, Zero Trust, Data privacy, encryption, access control, Regulatory compliance and AI governance (MRM)