Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project
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Partner closely with users and business stakeholders to define requirements and ensure solutions meet operational needs, representing users throughout design, development, implementation and execution.
Drive user adoption and change management, ensuring appropriate communication, training and readiness for successful implementation of new solutions.
Manage project priorities and backlog, ensuring resources remain focused on the most critical deliverables and risks.
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Simulate Customer Scenarios: Utilize our specialized onsite support laboratory to recreate customer scenarios, test assay performance, and validate technical solutions
Facilitate Knowledge Sharing: Utilize AI-driven knowledge management tools to create self-fix materials, support software/hardware updates, and deliver technical discussions for customers and internal teams
Collaborate in Agile Networks: Participate in local and regional service projects within the hub, collaborating cross-functionally to improve service delivery and strengthen long-term customer trust
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Technology Assessment: Continuously assess and select new technologies, frameworks, and methodologies that enhance the financial services IT landscape. Stay informed about emerging trends and innovations.
Integration Management: Oversee the integration of various systems, applications, and technologies. Ensure seamless interoperability and data flow across the entire IT environment.
Project Oversight: Provide technical leadership and guidance throughout the project lifecycle. Collaborate with cross-functional teams to ensure successful implementation of solutions.
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Translate complex algorithmic ideas - syntax parsing, semantic chunking, custom routing - into reliable, production ready software components.
Build and rigorously evaluate prototypes for future AI initiatives, including open source small language models (SLMs), custom embeddings, and multi agent / cross validation patterns, backed by measurable retrieval and quality metrics.
Architect multi tenant data, identity, and authorization layers that meet enterprise security and compliance requirements.
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