Director, Applied Artificial Intelligence & Agentic Platform Engineering

** Our Vision*
* We are building a  
** next-generation system that reimagines banking workflows
** for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships-ultimately leading to significant productivity gains and increased wallet share. We are looking for a visionary, hands-on engineering leader to build and scale the platform that will make this a reality.

** The Role*
* As the Director of Agentic Platform Engineering, you will be a player-coach responsible for the technical vision, architecture, and execution of this greenfield platform. You will lead a world-class engineering team from the ground up, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands-on engineering to build a product that will have a direct and measurable impact on the front lines of our business.

** Key Responsibilities*
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** Platform Architecture & Development:
** Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.

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** Technical 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.

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** 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.

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** Strategic Road mapping:
** 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.

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* 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.

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** AI & ML Integration:
** Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, Lang Chain,), and other AI/ML technologies to solve real-world banking challenges.

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** 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.

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** 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.

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** Compliance & Security:
** Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry.

** Qualifications & Experience*
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* Education:

** Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

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* Experience:

** 12+ years of experience in software engineering, with at least 4+ years in a leadership role, leading high-performing engineering teams.

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** 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.

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** Platform Building:
** A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.

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** Domain Knowledge:
** Experience in the financial services industry (Corporate Banking, Investment Banking, Fin Tech) is a significant plus. An understanding of banking workflows and data is highly desirable.

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** 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*
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** AI / GenAI / Agentic Platforms*
* + LLM & Agentic Frameworks:
Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI)

+ Multi-Agent Systems:
Hands-on experience designing and implementing multi-agent architectures (task decomposition, coordination, orchestration, and agent-to-agent (A2A) interaction patterns)

+ Model Context Protocol (MCP) & Integrations:
Experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns

+ Knowledge Graphs & Reasoning:
Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation

+ RAG & Knowledge Systems:
End-to-end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization

+ Model Lifecycle & Governance:
Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM…