Senior Software Engineer - Generative Ai Innovation

Join a high-impact innovation team focused on building and evaluating Generative AI solutions that support Institutional Banking initiatives. This hands-on role blends software engineering, prototyping, and emerging technology research to help transform ideas into practical, business-ready solutions. Responsibilities

• Design, build, and deploy proof-of-concept and production-ready Generative AI applications using modern engineering practices and cloud-based technologies.
• Prototype and assess emerging AI tools, platforms, vendors, and capabilities to determine fit for business needs.
• Develop AI-enabled workflows and applications using large language models, retrieval-augmented generation, agentic frameworks, document intelligence, APIs, and cloud services.
• Partner with business stakeholders to identify opportunities where AI can improve productivity, decision-making, client service, operational efficiency, and risk management.
• Translate business concepts into working prototypes through rapid experimentation and technical validation.
• Support governance, risk, compliance, model review, and technology approval processes with technical documentation and input.
• Contribute to integration design between AI platforms, enterprise systems, and cloud environments.
• Establish reusable engineering patterns, development standards, and best practices for AI solution delivery.
• Create clear technical documentation, reference materials, presentations, and demos to support adoption and knowledge sharing.
• Present findings, prototypes, recommendations, and solution roadmaps to stakeholders and leadership.
• Assist with deployment, troubleshooting, and continuous improvement of AI-enabled solutions.

• 5+ years of professional software engineering experience building web-based or distributed applications.
• Hands-on experience developing solutions with modern programming languages, frameworks, APIs, and cloud services.
• Practical experience with Generative AI, large language models, or related emerging technologies.
• Strong problem-solving skills and the ability to work independently through ambiguity.
• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
• Proven ability to own complex technical work from concept through implementation.
• Comfort working in environments that require attention to governance, security, risk, and compliance considerations.

Preferred Skills

• Experience with Google Cloud Platform and/or Microsoft Azure.
• Exposure to retrieval-augmented generation, agentic AI workflows, document intelligence, or workflow automation platforms.
• Experience in regulated industries and collaboration with governance, risk, compliance, security, or legal teams.
• Experience evaluating vendor technologies and making technical recommendations.
• Background supporting proof-of-concept development, experimentation, or innovation initiatives.

Horizontal Talent is committed to fostering an inclusive environment where diverse perspectives are valued and everyone has the opportunity to contribute and thrive. We welcome candidates from all backgrounds who are passionate about innovation, collaboration, and responsible AI development.