Senior AI Solutions Engineer

Introduction

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.

Responsibilities

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

Requirements

Required Skills:

• AI-first builder mindset, designing reusable solutions for scale and impact, with clear technical communication
• 6+ years building and operating production full-stack systems at scale
• Hands-on experience with distributed, cloud-native architectures (APIs, data, event-driven systems)
• Strong foundation in system design, scalability, resiliency, security, and observability
• Hands-on, production experience building AI/GenAI-powered applications
• Applied GenAI expertise including RAG, LLM integration/orchestration, prompt design, and evaluation/guardrails
• Proficiency in Java and/or Python with modern frameworks (e.g., Spring Boot, Python services)
• Experience with CI/CD, automated testing, and production observability

Desired Skills:

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