Top Tech Jobs & Startup Jobs

Develop and support new or revised applications by conducting analysis, design, construction, testing, implementation, and user support. Evaluate complex systems and business processes, recommend programming and security solutions, manage development risks and deadlines, and advise stakeholders. The role also establishes operating standards, supports compliance, and coaches junior analysts while working with limited supervision.

Lead delivery of production-ready generative and agentic AI solutions, including multi-agent workflows, retrieval systems, knowledge graphs, and scalable application architectures. Manage AI engineering teams, oversee projects from ideation through deployment, establish engineering and governance standards, and partner with cloud, data, MLOps, and business teams. Ensure security, quality, observability, responsible AI, and compliance across enterprise AI platforms.

Oversee investment products and platforms through product strategy, governance, first-line risk ownership, and regulatory change assessment. Develop product roadmaps, strengthen governance frameworks covering suitability and fiduciary responsibilities, enhance policies and controls, and collaborate with Risk, Compliance, Legal, Supervision, and Controls stakeholders. Assess business risks, ensure regulatory compliance, resolve complex issues, and escalate control concerns appropriately.

Provides advanced support for Citi’s global IBM Z mainframe infrastructure, resolves high-impact operational issues, leads root cause analysis, and drives service improvement. Develops project plans, testing approaches, process automation, metrics, and analytical tools. Acts as a subject-matter expert, service owner, advisor, and coach while collaborating with global technology and business teams and ensuring operational risk and compliance requirements are met.

Leads HR process re-engineering and operational improvement initiatives by analyzing current-state workflows, identifying root causes, designing simplified future-state processes, and strengthening controls. Facilitates stakeholder workshops, applies Lean methodologies, documents process requirements, measures benefits, and evaluates AI or automation opportunities. Partners with Technology, AI, Risk, Controls, process owners, and project managers through implementation and benefit realization.

Design, develop, and deploy generative AI models and applications using Python and deep learning frameworks. Build React-based chat interfaces with streaming, asynchronous processing, secure file uploads, and advanced formatting. Research and optimize AI models, develop data pipelines, deploy solutions using cloud and MLOps practices, and ensure responsible AI implementation. Collaborate with technical and product teams, contribute to architecture and code reviews, and troubleshoot performance issues.

Leads multiple IT project management teams through subordinate managers, overseeing project definition, tracking, prioritization, strategic planning, budgets, policies, compliance, and stakeholder communication. Partners with IT and business leaders to align projects with organizational objectives, manages substantial resources, evaluates risks, and influences senior decision-makers. Holds full personnel management responsibility, including hiring, performance evaluation, compensation, disciplinary actions, and terminations.

Lead design, development, and deployment of enterprise-scale AI/ML and agentic AI solutions. Architect end-to-end systems using Python and Java, fine-tune and optimize LLMs, implement RAG and prompt engineering, build CI/CD pipelines with containerization and orchestration, integrate SQL/NoSQL databases, enforce Responsible AI and compliance, and mentor teams while driving engineering best practices.

Sustains cybersecurity risk appetite through vulnerability management, security incident response, compliance reviews, risk governance, root cause analysis, and reporting. Improves VTM and SIRT workflows, escalates risks to CISO leadership, develops cyber response and crisis management plans, and assesses risks involving blockchain, tokenization, and cryptocurrency services.

Leads fraud systems analysis and programming initiatives, partnering with technology and management teams to enhance systems, products, and processes. Evaluates complex business and system workflows, resolves high-impact problems, and develops innovative solutions. Requires extensive fraud prevention and detection expertise, leadership of complex projects, knowledge of fraud typologies and alert processing, AI or machine learning project experience, strong communication, and Agile familiarity.