Senior AI Solutions Engineer

Position; Senior AI Solutions EngineerLocation: NYC, NY Duration: 12 Months RoleAI adoption across the firm is accelerating, yet many initiatives stall between prototype and production or repeat the same solutions in isolation. This role exists to break that pattern and multiply impact. We are hiring an AI‑First Solutions Engineer with deep full‑stack engineering experience who has shipped real production systems and now uses AI as a core accelerator, not a novelty. This is not a one‑off application role. You will build reusable AI frameworks, patterns, starter kits, and reference architectures that enable teams across the organization to deliver AI‑powered solutions faster, safer, and at scale.Operating at the intersection of software engineering, applied AI, and platform thinking, you will:Deliver production‑grade AI‑enabled solutionsConvert complexity into reusable, scalable building blocksRemove technical, architectural, and process bottlenecksEnable and upskill engineers to adopt AI responsibly and effectivelySuccess is defined by:The number of teams you unblockThe speed at which AI solutions reach productionThe breadth of adoption of the platforms and patterns you buildResponsibilitiesBuild 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