Required Qualifications:
A Bachelor's degree (or above) in computer science, engineering, mathematics, or a related discipline.
12+ years of experience in developing software applications for scale on cloud (AWS or Azure or GCP).
5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise.
Proven experience leading large, cross-functional engineering teams to deliver solutions in the highly regulated Banking/Financial Services or similar industry.
Fluent in Python or Java or GoLang programming language and frameworks.
Familiarity and solid understanding of Large Language Models (LLMs), Agents, Planning, Reasoning, and other related methods.
Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc. Familiarity on working with MCP and A2A protocols.
Preferred Qualifications:
Knowledge of banking, financial products and services.
Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning.
Overview
Are you looking to redefine customer experience by bending the curve of innovation in one of the most coveted domains, Banking & Financial Services Industry? Join our innovative team to build and deliver elevated customer experiences and streamline business operations with cutting-edge AI-driven solutions.
As a Director of Applied AI, you will direct and oversee multi-disciplinary teams by providing technical expertise and strategies in order to design, build and deliver AI solutions that are scalable and secure. You will leverage your deep expertise to innovate for business impact, lead the strategic development for AI-driven business transformation across the organization, and establish a strong foundation for AI excellence.
Key Responsibilities:
Direct and oversee the design, development, and implementation of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation.
Own the technical roadmap for AI integration into core business products, ensuring alignment with organizational strategic priorities and measurable business value.
Lead the establishment of strong foundations for AI excellence, accelerating innovation and consistency by creating common capabilities, best practices, and reusable frameworks.
Develop best strategies and design patterns for state/session management, memory management, and artifact management essential to building powerful and reliable agents.
Provide executive-level technical approval for critical architectural designs, deployment strategies on cloud for scale using agentic runtimes, and the implementation of robust CI/CD, DevSecOps, and observability.
Implement guardrails and policy enforcement for safety and security risks required to comply with the organization's data privacy and security standards.
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
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