AI Engineer

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 reviewsespecially for code created or assisted by AI toolsmaintaining 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

• Bachelors or masters 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 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.73
• Demonstrated ability to manage multiple priorities and projects while maintaining strategic alignment and rigorous attention to detail.