Top Tech Jobs & Startup Jobs in NYC, NY

Lead discovery, prototyping, and delivery of AI/GenAI products. Define PRDs, build prototypes, scope requirements, run evaluations, partner with engineering/data/design, and shepherd solutions through enterprise AI governance to production.

Defines enterprise AI architecture, technical strategy, standards, and roadmaps while remaining hands-on with prototyping and software development. Designs scalable LLM, retrieval, agentic, orchestration, evaluation, governance, and human-in-the-loop systems. Leads model and vendor decisions, architecture reviews, platform investments, and responsible AI practices across teams. Partners with executives and regulated-industry stakeholders, mentors technical leaders, and ensures secure, reliable, compliant, observable, and cost-effective production AI systems.

Lead the architecture and hands-on development of production AI systems using LLM pipelines, retrieval, agentic workflows, structured outputs, and human review. Establish standards for evaluation, reliability, observability, security, cost, and compliance. Guide technical design across projects, mentor engineers, manage production operations, and partner with product, clinical, and operational stakeholders to deliver scalable, auditable AI solutions in a regulated healthcare environment.

Design, develop, deploy, and operate production AI applications that process clinical documents using LLMs, RAG, agentic workflows, structured extraction, and human-in-the-loop review. Build full-stack services, document pipelines, evaluation frameworks, observability, and cloud-native infrastructure. Optimize systems for accuracy, reliability, scalability, latency, and cost while meeting healthcare privacy, security, compliance, and auditability requirements.

Define strategy and drive delivery for a portfolio of enterprise AI products. Responsibilities include business discovery, AI prototyping, requirements, product execution, evaluation frameworks, solution architecture, governance, responsible AI, executive communication, and cross-functional leadership. The role establishes reusable AI standards, playbooks, and solution patterns while mentoring product leaders and guiding products from concept through production.

Lead development of AI products from discovery through production: define strategy and roadmap, prototype with agentic tools, translate business problems into scoped AI use cases, own requirements and delivery, design evaluation and quality metrics, support solution architecture, lead cross-functional teams, navigate enterprise AI governance, and mentor product managers.

Leads Medicaid member and associate journey mapping and service experience optimization. Develops personas and journey maps, analyzes feedback and engagement data, identifies pain points, and partners with digital, IT, product, and support teams on improvements. Implements experience programs, tracks KPIs, facilitates workshops, leads optimization projects, and shares insights to improve satisfaction, loyalty, retention, and administrative efficiency.

Design and advance Humanas mobile-first member experiences across apps, web, SMS, notifications and emerging channels. Lead end-to-end journey design, apply user-centered research, create accessible interaction and visual designs, and collaborate with product, engineering, research, and stakeholders to drive engagement, adoption, retention, and measurable business outcomes.

Design, build, and deploy LLM-based applications and multi-step AI workflows (retrieval, orchestration, agents) using large-scale structured and unstructured data. Partner with engineering to productionize solutions, implement evaluation and safety measures, ensure compliance and data governance, and communicate results to technical and non-technical stakeholders.

Lead AI-driven reconciliation and automation to improve encounter data quality. Own model performance, identify root causes, partner with technical and business teams to enhance models, prioritize roadmap, and scale automation while communicating results to stakeholders.