AI Solutions Engineer

Position: Senior AI Solutions EngineerLocation: New York City, NY (local or nearby candidates only)Duration: 12-month contractRole OverviewAI adoption across the firm is accelerating, yet many initiatives stall between prototype and production—or are rebuilt repeatedly in isolation. This role exists to change that trajectory and scale impact.We are seeking a Senior AI Solutions Engineer with deep full-stack engineering experience who has delivered real-world production systems and now uses AI as a core accelerator—not a novelty. This is not a single-application role. You will design and deliver reusable AI frameworks, patterns, starter kits, and reference architectures that empower teams across the organization to build AI-enabled solutions faster, safer, and at scale.Operating at the intersection of software engineering, applied AI, and platform architecture, you will focus on:Delivering production-grade AI-powered systemsConverting complex AI implementations into scalable, reusable building blocksEliminating technical, architectural, and process bottlenecksEnabling and upskilling engineers to adopt AI responsibly and effectivelySuccess In This Role Is Measured ByThe number of teams you unblock and enableThe speed at which AI solutions move from idea to productionAdoption and reuse of the platforms, patterns, and frameworks you createKey ResponsibilitiesBuild and Scale AI SolutionsDesign, build, and deploy production-grade AI-enabled applications using modern full-stack and cloud-native architecturesDevelop reusable AI frameworks and reference implementations (e.g., RAG, document processing pipelines, agent and workflow patterns)Integrate AI capabilities into existing enterprise platforms and workflows with strong engineering discipline, including clean code, automation, observability, and reliabilityApply AI with an AI-First MindsetLeverage AI to accelerate delivery, reduce friction, and maximize engineering productivityImplement applied GenAI patterns such as Retrieval-Augmented Generation (RAG), prompt and tool orchestration, agentic workflows, and evaluation with guardrailsDesign model-agnostic, future-proof solutions resilient to rapid changes in the AI ecosystemEnable Teams and Drive Engineering ExcellenceTranslate complex AI implementations into simple, repeatable, and scalable patternsMentor engineers and lead architecture and design reviews to improve consistency and qualityPartner with business and technical stakeholders to define requirements and deliver clear, shippable milestonesOwn DevOps excellence, including CI/CD pipelines, automated testing, telemetry, monitoring, and continuous improvementRequired QualificationsAI-first builder mindset with a focus on reusable, scalable solutions and clear technical communication6+ years of experience building, deploying, and operating production-grade full-stack systems at scaleStrong experience with distributed, cloud-native architectures (APIs, data platforms, event-driven systems)Solid foundation in system design, scalability, reliability, security, and observabilityHands-on, production experience developing AI or GenAI-powered applications (beyond experiments or POCs)Applied GenAI expertise, including RAG, LLM integration and orchestration, prompt design, and evaluation with guardrailsProficiency in Java and/or Python using modern frameworks (e.g., Spring Boot, Python-based services)Experience with CI/CD pipelines, automated testing, and production observability toolsPreferred QualificationsPublic cloud experience, with Azure strongly preferredExperience building internal platforms, frameworks, or developer toolingFamiliarity with vector databases, embeddings, Kafka, or high-throughput messaging systemsBackground in regulated industries or financial services environmentsExperience collaborating with globally distributed engineering teams