AI Solutions Engineer
Position; Senior AI Solutions EngineerLocation: NYC, NY (Locals or near by only)Duration: 12 MonthsResponsibilitiesBuild and Scale AI SolutionsDesign and deliver production‑grade AI‑enabled applications using modern full‑stack and cloud‑native patternsBuild reusable AI frameworks and reference implementations (e.g., RAG, document processing, agent/workflow patterns)Integrate AI into enterprise platforms and workflows with strong engineering discipline (clean code, automation, observability, reliability)Apply AI with an AI‑First MindsetUse AI to accelerate delivery, reduce friction, and scale outcomesImplement applied GenAI patterns including RAG, prompt/tool orchestration, agentic workflows, and evaluation with guardrailsDesign model‑agnostic solutions resilient to rapid AI ecosystem changeEnable Teams and Own Engineering ExcellenceTurn complex AI implementations into simple, repeatable patternsMentor engineers; lead architecture and design reviews to raise quality and consistencyPartner with stakeholders on requirements and shippable milestonesOwn DevOps hygiene (CI/CD, automated testing, telemetry, monitoring) and drive continuous improvementRequired SkillsAI‑first builder mindset, designing reusable solutions for scale and impact, with clear technical communication6+ years building and operating production full‑stack systems at scaleHands‑on experience with distributed, cloud‑native architectures (APIs, data, event‑driven systems)Strong foundation in system design, scalability, resiliency, security, and observabilityHands‑on, production experience building AI/GenAI‑powered applications, not just experimentation or POCsApplied GenAI expertise including RAG, LLM integration/orchestration, prompt design, and evaluation/guardrailsProficiency in Java and/or Python with modern frameworks (e.g., Spring Boot, Python services)Experience with CI/CD, automated testing, and production observabilityDesired SkillsPublic cloud experience (Azure preferred)Experience building internal platforms, frameworks, or developer toolingFamiliarity with vector databases, embeddings, Kafka, or high‑volume messaging systemsExperience in regulated or financial services environmentsExperience working with globally distributed engineering teams