Top Tech Jobs & Startup Jobs in NYC, NY

Design, build, and deploy production-grade Generative AI applications and multi-agent solutions. Develop RAG pipelines, integrate commercial and open-source LLMs, fine-tune models, and build scalable Python APIs. Optimize applications for performance, latency, cost, reliability, and scalability. Implement monitoring, containerization, CI/CD, and cloud deployments while collaborating with engineering, architecture, AI/ML, and product teams.

Define and lead enterprise-wide AI/ML architecture strategy, standards, governance, reference architectures, and adoption roadmaps. Design scalable architectures for generative AI, LLM applications, RAG, AI agents, MLOps, data platforms, cloud infrastructure, security, and enterprise applications. Lead technology evaluations, architecture reviews, modernization strategies, responsible AI controls, vendor decisions, and transformation programs while advising executives and technical teams.

Lead end-to-end UX design: create wireframes, prototypes and mock-ups (Figma); conduct user research and usability testing; use data and AI tools to inform decisions; present to stakeholders; facilitate workshops; integrate design systems into engineering workflows and ensure smooth handoffs.

Lead design and delivery of enterprise Pega BPM/case management solutions. Architect and develop on Pega Infinity (24.x+), Constellation/Cosmos and Pega 8.x upgrades, integrate with RDBMS/Oracle, DX APIs and Pega Cloud/AWS, and support deployment, decisioning, and stakeholder-facing delivery in financial services.

Design, build, and deploy production-grade Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and swapping, model fine-tuning and quantization, scalable FastAPI backends, containerized deployment, and monitoring/optimization for latency, cost, and reliability.

Lead migration from AEM 6.5 to AEMaaCS: assess implementations, architect cloud-native components, manage content migration with CTT, redesign dispatcher, implement CI/CD via Adobe Cloud Manager, modernize integrations, train teams, and provide post-migration support and technical documentation.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

Support consulting teams by conducting primary and secondary research, analyzing data, building financial models and dashboards, and preparing clear client deliverables. Participate in client meetings and workshops, collaborate with cross-functional teams, monitor industry trends, and contribute to firm knowledge and best practices.

Design, implement, and manage GCP infrastructure using Terraform. Architect compute, storage, networking, Vertex AI integrations, and BigQuery storage. Integrate Wiz for continuous security, implement Policies as Code, automate tooling and scripts, and ensure security and compliance while collaborating with cross-functional teams.

The posting provides no concrete responsibilities. Company delivers digital experiences and modernization for enterprise clients; the Architect role likely involves designing and overseeing architecture for digital modernization projects.