Top Tech Jobs & Startup Jobs

Designs, develops, and supports secure AI-powered applications, agents, APIs, integrations, and workflow automations. Builds Generative AI solutions using LLMs, prompt engineering, retrieval patterns, and enterprise data. Responsibilities include full software delivery lifecycle participation, AI output evaluation, stakeholder collaboration, secure engineering, governance, monitoring, risk controls, and operational readiness.

Leads enterprise technology strategy measurement by defining and governing KPIs, scorecards, semantic models, metadata standards, and data quality controls. Designs data architectures, pipelines, curated datasets, and reporting environments that transform fragmented technology data into trusted executive insights. Partners with architecture, engineering, cybersecurity, infrastructure, data, and senior leadership teams to measure modernization, resilience, platform adoption, productivity, governance, and business value.

Supports private wealth advisors and financial advisor teams with client service, account transactions, meeting preparation, financial planning, portfolio reporting, research, and business development activities. The role also assists with digital and in-person marketing, client communications, financial plans, and firm initiatives while maintaining compliance with policies and financial services procedures.

Supports Morgan Stanley’s financial crimes risk management framework across AML, KYC, sanctions, and regulatory programs. Responsibilities include interpreting U.S. and international regulations, assessing financial crime risks, enhancing controls, remediating audit and regulatory findings, developing governance models and workflows, documenting risk decisions, and preparing materials for senior management. The role focuses on cross-border client risks, beneficial ownership, enhanced due diligence, and Latin American financial crime typologies.

Supports Rates and Client Financing trading desks across fixed-income securities, interest-rate derivatives, repo, securities lending, TRS, and ETFs. Manages financing activities, collateral, trade bookings, repricing, lifecycle events, position monitoring, exception reporting, P&L analysis, auction analytics, and desk reporting. Coordinates with traders, sales, counterparties, Treasury, Operations, and securities lenders while working New York trading hours.

The Sr Systems Compute & Storage Engineer VP is responsible for managing Linux servers, enterprise storage, and VMware systems, ensuring operational efficiency and security compliance while driving automation and collaboration across teams.

Review and approve public communications for regulatory compliance; file and respond to FINRA reviews; consult with business, Legal, and Compliance on marketing materials; support regulatory exams and audits; identify and integrate high-impact AI/LLM use cases into risk workflows and supervise AI tool delivery and governance.

Owns end-to-end development and automation of customized tools for complex fund services processes. Responsibilities include gathering business requirements, designing scalable solutions, managing project plans, documenting use cases, tracking risks and benefits, testing, training users, and coordinating stakeholders globally. The role combines business analysis, development, project management, testing, and business-user responsibilities, with approximately 20–30% coding.

Develop scalable Python and Java solutions for generative AI and machine learning within Morgan Stanley’s trade surveillance analytics platform. Build agentic applications using LLMs, RAG, vector storage, MCP, and A2A patterns; integrate databases, UI frameworks, and DevOps practices. Collaborate with global Agile teams, translate business requirements, write comprehensive tests, optimize code and queries, and follow enterprise SDLC governance.

Own major subsystems within Parametric’s digital platform, designing and delivering client-facing web applications, REST APIs, and product features. Responsibilities include solution architecture, performance and resiliency improvements, automated testing, code reviews, Agile collaboration, and technical mentorship. The role partners with business stakeholders to translate objectives into software solutions and supports cloud-native, microservice, and event-driven systems using ASP.NET Core, Angular, and Azure.