Senior Software Engineer - Generative Ai Innovation

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.
• 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.

Requirements

• 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.
• Experience supporting proof-of-concept development, experimentation, or innovation initiatives.