Senior Product Developer - Fullstack (C#, .Net, Angular) , AI

What You Will Do

- Partner with engineering, product, cloud, security, operations, and business teams to identify practical AI opportunities and support implementation through delivery.

- Provide hands-on technical guidance for AI initiatives, including solution design, architecture trade-offs, integration patterns, and implementation of best practices.

- Develop and maintain reusable AI reference architectures, implementation guides, design patterns, sample solutions, and enablement materials.

- Contribute to AI standards, governance practices, and responsible AI guidance in partnership with architecture, security, legal, privacy, and compliance stakeholders.

- Help define practical guidance for the use of approved AI platforms and open-source LLM models, including security, compliance, evaluation, and operational considerations.

- Create and deliver AI training, workshops, demos, office hours, and communities of practice to help teams build confidence and capability with AI technologies.

- Work with product development, support, and internal teams to integrate AI capabilities into workflows that improve productivity, product capabilities, and customer experiences.

- Collaborate with cloud and platform teams to provide input into shared AI platform capabilities, reusable services, and developer enablement needs.

- Promote AI development best practices, including testing, evaluation, monitoring, observability, cost awareness, and operational readiness.

- Help establish lightweight processes to track AI usage, cost, adoption, lessons learned, and continuous improvement opportunities.

- Partner with teams to define success measures for AI initiatives, including productivity gains, quality improvements, customer impact, and operational efficiency.

- Stay current on emerging AI technologies, tools, and practices, and translate relevant trends into practical recommendations for engineering and business teams.

- Mentor and coach team members on practical AI adoption, responsible implementation, and effective use of AI tools in day-to-day work.

What You Will Need to Succeed