AI Solutions Engineer

1. Deliver production-grade AI-enabled solutions
2. Convert complexity into reusable, scalable building blocks
3. Remove technical, architectural, and process bottlenecks
4. Enable and upskill engineers to adopt AI responsibly and effectively

The Senior AI Solutions Engineer role is crucial in accelerating AI adoption within the organization. The position requires a deep full-stack engineering background with a focus on using AI as a core accelerator. The individual will be responsible for building reusable AI frameworks and reference architectures to enable teams to deliver AI-powered solutions faster and at scale., 1. AI-first builder mindset, designing reusable solutions for scale and impact, with clear technical communication

2. 6+ years building and operating production full-stack systems at scale
3. Hands-on experience with distributed, cloud-native architectures (APIs, data, event-driven systems)
4. Strong foundation in system design, scalability, resiliency, security, and observability
5. Hands-on, production experience building AI/GenAI-powered applications
6. Applied GenAI expertise including RAG, LLM integration/orchestration, prompt design, and evaluation/guardrails
7. Proficiency in Java and/or Python with modern frameworks (e.g., Spring Boot, Python services)
8. Experience with CI/CD, automated testing, and production observability

Desired Skills:

1. Public cloud experience (Azure preferred)
2. Experience building internal platforms, frameworks, or developer tooling
3. Familiarity with vector databases, embeddings, Kafka, or high-volume messaging systems
4. Experience in regulated or financial services environments
5. Experience working with globally distributed engineering teams