Senior AI Solutions Engineer

Responsibilities
Build and Scale AI Solutions
xxxxxxxxxxxxxxxDesign and deliver production‑grade AI‑enabled applications using modern full‑stack and cloud‑native patterns
xxxxxxxxxxxxxxxBuild reusable AI frameworks and reference implementations (e.g., RAG, document processing, agent/workflow patterns)
xxxxxxxxxxxxxxxIntegrate AI into enterprise platforms and workflows with strong engineering discipline (clean code, automation, observability, reliability)
Apply AI with an AI‑First Mindset
xxxxxxxxxxxxxxxUse AI to accelerate delivery, reduce friction, and scale outcomes
xxxxxxxxxxxxxxxImplement applied GenAI patterns including RAG, prompt/tool orchestration, agentic workflows, and evaluation with guardrails
xxxxxxxxxxxxxxxDesign model‑agnostic solutions resilient to rapid AI ecosystem change
Enable Teams and Own Engineering Excellence
xxxxxxxxxxxxxxxTurn complex AI implementations into simple, repeatable patterns
xxxxxxxxxxxxxxxMentor engineers; lead architecture and design reviews to raise quality and consistency
xxxxxxxxxxxxxxxPartner with stakeholders on requirements and shippable milestones
xxxxxxxxxxxxxxxOwn DevOps hygiene (CI/CD, automated testing, telemetry, monitoring) and drive continuous improvement

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, not just experimentation or POCs
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