Top Tech Jobs & Startup Jobs in NYC, NY

Develop and refactor Python optimization algorithms for supply chain, inventory allocation, replenishment, and pricing optimization. Build predictive models, analyze large datasets, design experiments, monitor KPIs, and provide data-driven recommendations. Collaborate with business stakeholders and data science teams to deliver analytical solutions, while coaching colleagues and applying advanced statistical and operations research methods.

Leads technology advisory, client engagement, presales, solution architecture, and practice development for enterprise data and AI transformations. Provides thought leadership, assesses client platforms, develops modernization roadmaps, creates architectures and proposals, and mentors engineering, data, and architecture teams. Requires deep hands-on Databricks and Azure expertise, experience with enterprise Lakehouse platforms, streaming and batch pipelines, governance, security, and large-scale transformation programs. Partners with senior executives and offshore teams to drive delivery quality, talent development, and consulting growth.

Designs and deploys advanced AI and machine learning solutions, including AI agents, RAG systems, analytical models, and data products on Google Cloud Platform. Responsibilities include preparing structured and unstructured data, developing AI agent tools, applying NLP and deep learning, collaborating with customers and stakeholders, generating business insights, and communicating analytical results.

Deploys, integrates, and scales enterprise generative AI solutions within customer engineering teams. Builds intelligent agents and multi-agent systems using Vertex AI, ADK, and MCP; connects AI systems to enterprise databases; develops real-time data pipelines; and operationalizes LLMs across cloud environments. The role also includes model training, tuning, evaluation, deployment, vector-based grounding, cloud infrastructure integration, stakeholder communication, and translating business goals into technical architectures.

The Google Workspace Administrator will manage and integrate Google Workspace environments, support M&A efforts, and collaborate on security and identity management processes, while automating tasks through scripting.

As a Solutions Architect, the role involves leading solution architecture in PLM and supply chain systems, driving integration efficiency, analyzing business processes, and ensuring technical adherence for production releases.

The Strategy Consultant will lead bi-weekly reviews on allocation performance, conduct root-cause analyses, identify issues, and provide strategic recommendations for retail clients in the fashion industry.

Embed with client engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments. Build agentic solutions using Vertex AI Agent Builder and ADK, connect agents securely to BigQuery/Spanner via MCP, implement streaming pipelines (Dataflow) for real-time inference, and manage model training, tuning, deployment, and evaluation on Vertex AI. Provide consultative guidance, cross-functional collaboration, and clear stakeholder communication to ensure business value from Generative AI solutions.

The Integration Engineer will configure Adobe Workfront, develop integrations using Workfront Fusion, and optimize marketing workflows and automation processes. They will collaborate with multiple teams and manage project tracking within the Workfront platform.

Design, develop, and operationalize time-series and ML-based forecasting models for demand planning, inventory, replenishment, logistics, and sales forecasting. Collaborate with stakeholders, lead workshops, translate business needs into scalable analytics, and present insights to senior client teams.