Top Tech Jobs & Startup Jobs

Build enterprise AI platform capabilities and production AI applications, including agentic workflows, retrieval-augmented generation, semantic search, vector databases, cloud-native services, and AI model operations. Collaborate with senior engineers on orchestration, developer tooling, governance, security, responsible AI, monitoring, testing, and compliance. Use Python, Google Cloud Platform, Kubernetes, CI/CD, and infrastructure as code while developing scalable AI solutions.

Leads onsite service relationships for a New York Life general office, serving as liaison to agency managers, recruiters, and agents. Resolves escalations, oversees onsite specialists, supports sales engagement, trains users on AI and digital tools, coordinates events, drives adoption of new capabilities, manages local facilities and technology support, and oversees financial processes. Requires a bachelor's degree, strong communication and relationship-building skills, Microsoft Office and SharePoint proficiency, and completion of FINRA SIE and Series 99 exams within six months.

Designs and delivers enterprise AI platform capabilities and production-ready agentic applications. Builds multi-agent systems, RAG and knowledge platforms, orchestration frameworks, cloud-native services, and developer tooling. Implements MLOps and LLMOps for deployment, evaluation, monitoring, observability, and optimization. Partners with stakeholders, contributes to architecture and engineering standards, and independently owns initiatives from design through production deployment.

Supports operations integration and business growth strategy initiatives through cross-functional program management, competitive benchmarking, market research, financial modeling, process re-engineering, and operating model design. Leads transformation and technology initiatives, manages risks and dependencies, develops governance structures, defines business requirements, evaluates products and platforms, and prepares decision materials for leadership committees. Requires investment management or consulting experience, strong analytical and project management skills, and 10% travel.

Leads end-to-end delivery of production AI, generative AI, and agentic AI solutions. Designs architectures using multi-agent orchestration, RAG, hybrid retrieval, and human-in-the-loop workflows; establishes evaluation, testing, observability, safety, and responsible AI practices. Partners with business and technical teams to measure value, mentors engineers and data scientists, defines engineering standards, and influences enterprise AI strategy and roadmaps.

Leads the design, predictive modeling, simulation, and modernization of field compensation programs. Applies actuarial methods, statistics, AI, machine learning, and quantitative analysis to evaluate financial impact, participant behavior, sales outcomes, and plan effectiveness. Partners with executive, finance, technology, analytics, and compensation teams to operationalize designs in Varicent, support governance and strategic decisions, develop dashboards, and advance automation. Mentors analysts and leads cross-functional modernization initiatives.

Leads strategic communications planning and delivery for Field Experience Value Stream and Agency Zone initiatives. Translates business priorities and operational changes into actionable field communications, coordinates messaging and rollout assets, advises senior stakeholders, and measures communication effectiveness using feedback, adoption signals, and performance data. The role establishes communications standards, prioritizes messages, manages cross-functional relationships, and supports change management across agents, field managers, and Zone teams.

Leads end-to-end AI, ML, generative AI, and agentic AI initiatives from opportunity assessment through production deployment and monitoring. Designs multi-agent systems, RAG and GraphRAG solutions, evaluation and safety frameworks, and AI-powered applications using the enterprise platform. Sets technical standards, mentors AI talent, partners with business and technology stakeholders, and measures delivered value. The role also drives responsible AI practices and AI-assisted engineering, with limited travel under 10%.

Leads a cloud SRE shared-services organization supporting AWS application platforms. Responsibilities include managing and mentoring engineers, modernizing infrastructure, governing Terraform modules and AWS patterns, building self-service provisioning and Harness CI/CD automation, establishing SLOs and error budgets, resolving critical incidents, implementing observability, improving resiliency, and planning disaster recovery. The leader also drives GenAI adoption, stakeholder alignment, security, governance, cost optimization, and engineering best practices across technology teams.

Lead and coach an operations team supporting investment advisor representatives; manage staffing, call/workflow queues, escalations, compliance reviews, process improvements, account application approval, and cross‑functional coordination to ensure service levels and operational efficiency.