Job Description
Key Responsibilities as Evangelist
- Build and demonstrate AI-powered solutions for financial applications preferably in investment banking, Trading or insurance environments.
- Translate complex AI concepts into actionable business value for both technical and non-technical stakeholders, simplifying information for internal teams and executive leadership.
- Lead workshops, seminars, and training sessions for teams across the organization, promoting AI literacy and upskilling staff in banking, investment, or insurance environments.
- Ability and /or experience in authoring technical blogs, white papers, and internal documentation that explain the impact and possibilities of AI in the financial domain.
- Experience on working on advisory capacity to CxO, Head of Engineering, Head of Architecture on technical strategies
- Act as a visible presence at industry conferences, webinars, and external forums to position the organization as a leader in responsible AI use within finance.
- Partner with compliance, risk, and IT teams to ensure all AI solutions meet strict regulatory and ethical standards prevalent in financial services.
- Prototype, test, and deploy AI models that address market forecasting, customer insights, automated underwriting, or anti-money laundering strategies.
Key Technical and Design Responsibilities
- Build, deploy, and manage both agentic AI architectures and generative code systems, ensuring scalable and secure integration of technologies like LLMs, code generators, and automation agents within production workflows.
- Oversee technical design, implementation, and code reviews—especially for code created or assisted by AI tools—maintaining high standards of security, performance, and maintainability in Python and other programming languages.
- Develop robust testing and validation protocols for AI-generated code and agent behavior, including prompt engineering, debugging, and post-deployment monitoring for unusual failure patterns or compliance issues.
- Lead technical teams, mentor junior engineers, and set excellence in software engineering practices; create documentation and establish guidelines for both human and AI-driven contributions
- Collaborate with cross-functional stakeholders (DevOps, security, product, and business leaders) to ensure rapid, safe adoption of agentic and generative AI features
Essential Qualifications
- Bachelor’s or master’s degree in computer science, Data Science, Finance, or related field.
- Experience in one or many of the high-level programming languages like C++, Java, C#
- Good understanding of Typescript, Node.js and other JS framework for UI development
- Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch) as applied to financial data and workflows
- At least 4+ years working in AI roles within finance, fintech, or technical consulting, preferably with exposure to regulatory environments.
- Deep knowledge of AI ethics, compliance, Guardrails, data privacy, and compliance trends relevant to the financial sector.
- Excellent communication, stakeholder engagement, and technical storytelling abilities.[7][3]
- Demonstrated ability to manage multiple priorities and projects while maintaining strategic alignment and rigorous attention to detail.
Job Tags
Bank staff,