Digital and AI Solutions Engineer

Key Responsibilities

• Agentic AI Solution Development
• Design, build, and deploy agentic AI solutions using Microsoft Copilot Studio, and other Agentic AI platforms (TBD).
• Apply AI fluency to identify opportunities where business processes can be automated or augmented through AI.
• Translate business workflows and user needs into AI-enabled solutions, including agent orchestration, prompt design, and integration with internal systems.
• Stay current with emerging capabilities across the broader AI ecosystem — including Microsoft Copilot Studio, Anthropic Claude, OpenAI (GPT), and other agentic LLM platforms — and recommend adoption where appropriate.
• Application Development
• Build and maintain applications using Microsoft .NET and C#.
• Develop responsive front-end interfaces using TypeScript and Angular.
• Implement scalable back-end services using Node.js.
• Write clean, maintainable, and well-documented code.
• API Development & Integration
• Design, build, and maintain RESTful APIs to support internal applications and third-party integrations.
• Ensure reliable, secure data exchange between Keypoint platforms and partner systems.
• Troubleshoot and optimize API performance.
• Security & Code Quality
• Follow secure coding practices and adhere to industry and regulatory standards.
• Participate in peer code reviews and contribute to engineering best practices.
• Proactively identify and remediate vulnerabilities.
• Operational & Helpdesk Support
• Provide mandatory support to the Digital Services team by resolving helpdesk tickets in a timely manner.
• Participate in a weekly on-call rotation, including triage and resolution of production issues outside business hours.
• Document issues, root causes, and resolutions to strengthen the team's knowledge base.
• Collaboration & Problem Solving
• Partner with business stakeholders, product owners, and other engineers to understand requirements and deliver solutions.
• Operate effectively when requirements are incomplete or ambiguous; ask the right questions and propose pragmatic solutions based on limited information.
• Communicate technical concepts clearly to both technical and non-technical audiences.

Required Qualifications

• 5–7 years of professional software development experience.
• Bachelor's or Master's degree in Computer Science or a closely related field.
• Hands-on experience building Agentic AI solutions in Microsoft Copilot Studio or comparable agentic AI / low-code AI platforms.
• Familiarity with other leading agentic LLM platforms and models (e.g., Anthropic Claude, OpenAI GPT), including their APIs, capabilities, and practical trade-offs when selecting models for different use cases.
• Strong proficiency in Microsoft .NET and C#.
• Proven experience with TypeScript, Angular, and Node.js across the full stack.
• Experience designing, building, and integrating REST APIs.
• Working knowledge of secure coding practices (OWASP Top 10, authentication/authorization patterns, data handling).
• Strong analytical, problem-solving, and communication skills.
• Demonstrated ability to work independently, learn quickly, and deliver in a fast-paced environment.
• Strong teamwork and collaboration skills.
• Willingness to participate in a weekly on-call rotation and provide timely helpdesk support.

Preferred Qualifications

• Experience in the financial services industry, ideally with credit unions or banks.
• Familiarity with financial services regulatory and compliance considerations (e.g., data privacy, audit, customer authentication).
• Experience with the broader Microsoft Azure ecosystem (Azure AI Services, Azure Functions, Azure DevOps).
• Experience with CI/CD pipelines and version control (Git).