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Writes, debugs, executes and maintains the source code for software applications. Typically works under the direction of a Lead Developer. Likely to involve working closely with business analysts to ensure requirements are clear and well understood, with other developers to ensure the approach and code can be integrated, and with the application software testers to support their testing plans and resolve bugs. Also needs to conduct their own unit tests and ensure their code meets any performance standards. This role will directly support the Innovation function and its use of generative AI, including GPTs and future agent-based solutions.
Job Responsibility:
Support the design, development, testing, and ongoing improvement of GPTs, AI-powered workflows, and (over time) agent-based solutions
Assist with prompt engineering, prompt optimization, and documentation of effective prompting patterns and use cases
Help maintain standards, best practices, and internal documentation related to AI tools, automation, and innovation platforms
Provide hands-on support to internal users, helping troubleshoot issues and improve overall user experience with AI-enabled tools
Contribute to short- and long-term innovation roadmaps through research, analysis, and execution support
Analyze technology trends, tools, and vendor offerings to identify opportunities for experimentation or business value
Generate insights and recommendations that help improve internal technology offerings and identify areas for growth
Assist with data analysis and reporting related to innovation initiatives, pilots, and outcomes
Create and maintain presentation materials, including PowerPoint decks, charts, and visuals for leadership and stakeholder updates
Facilitate meetings with internal teams and external vendors
capture notes, actions, and follow-ups
Draft concise summaries, reports, or briefing materials on technology topics, vendors, or pilot results
Contribute ideas and perspectives to brainstorming sessions and innovation ideation efforts
Requirements:
1–4 years of experience in technology, software, digital innovation, or related roles
Strong interest in generative AI, automation, and modern software platforms (e.g., LLMs, GPTs, agents, APIs, low-code/no-code tools)
Experience supporting or managing vendors, including coordination around licenses, contracts, or service delivery
Working knowledge of project and program management fundamentals
Ability to operate effectively in a fast-paced, evolving environment and adapt quickly as priorities and technologies change
Demonstrated ability to think creatively and encourage new approaches or ways of working
Strong written communication skills, with the ability to explain technical or complex concepts clearly and concisely
Comfortable creating and interpreting charts, diagrams, tables, and other data visualizations
Genuine interest in following technology trends, innovation research, and emerging tools
Excellent verbal communication and collaboration skills
High attention to detail with the ability to manage multiple workstreams simultaneously
Team-oriented mindset with the ability to work across technical and non-technical stakeholders
Bachelor’s: Computer and Information Science (Required), Bachelor’s: Computer Engineering, Bachelor’s: Data Science
General Experience - 3 to 6 years
Nice to have:
financial services experience a plus, but not required