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Senior (13+ years) role with niche LLM/VertexAI skills reduces competition despite Tier-1 brand.
Core ML/LLM engineering skills are transferable, though finance domain preference moderately increases specificity.
Explicit 13+ years, leadership level, and mandatory LLM/VertexAI/GCP expertise create high filtering rigidity.
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Lead design, architecture, and deployment of scalable AI-powered applications with advanced models including Gemini and conversational AI.
Oversee integration of AI workflows and orchestration using frameworks like ADK and LangGraph within cloud infrastructure (GCP).
Establish code quality standards, operationalize AI models in production, and drive AI innovation aligned with business strategy in Treasury domain.
13+ years of experience in AI engineering or related roles with leadership responsibility.
Expert proficiency in Python, API frameworks (FastAPI/Flask), and extensive experience with Google VertexAI platform.
Demonstrated expertise in large language models (Gemini), conversational AI, and Agentic AI orchestration frameworks (ADK, LangGraph).
Bachelor’s, Master’s or PhD in Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering.
Senior AI technical leader skilled in architecting and operationalizing complex AI solutions at enterprise scale, especially on GCP services.
Experienced in integrating advanced AI models into real-world business processes with strong strategic problem-solving and stakeholder communication.
Preferably has domain knowledge in financial services and ability to guide cross-functional teams to deliver high-impact AI products.