Artificial Intelligence Jobs in Stamford, CT

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead design and delivery of AI-driven P&C insurance operations solutions: analyze client needs, architect and implement AI/software solutions, manage projects and budgets, coach teams, train clients, ensure adoption, and maintain standards, governance, and evaluation practices to drive operational efficiency and innovation.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Own the strategy, roadmap, and lifecycle of Synchrony Card Access, an emerging payments product. Identify market and customer opportunities, define requirements and priorities, partner with Agile and cross-functional teams through launch, and optimize performance using adoption, engagement, retention, customer experience, and business metrics. Develop commercialization plans, monitor digital payment trends such as tokenization and digital wallets, and influence stakeholders across technology, risk, compliance, finance, marketing, operations, and client teams.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Lead design and implementation of Microsoft Dynamics 365 ERP solutions, manage large-scale projects, engage senior clients, build and coach high-performing teams, resolve complex challenges, and drive operational excellence and strategic growth for the firm.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead design, build, and operation of scalable, secure AI-enabled platforms; mentor engineers; ensure reliability, security, and delivery of conversational AI and cloud-native solutions; collaborate cross-functionally to translate use cases into platform capabilities.

Leads credit acquisition risk strategy for CareCredit and health and wellness portfolios. Develops and monitors credit strategies, challenger tests, risk mitigation initiatives, and new products while balancing growth and credit losses. Analyzes data from multiple systems, validates models, evaluates fraud and credit risk tools, and provides strategic recommendations to senior leadership. Requires cross-functional leadership, advanced analytics, SAS programming, statistical tools, and occasional business travel.

Leads exhibitor financial planning, forecasting, budgeting, capacity planning, KPI reporting, performance analysis, and executive presentation support. Manages and develops a team of analysts, partners with Sales, Finance, and Operations stakeholders, builds analytical models, communicates insights to senior leaders, and drives process improvements using data and AI.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

The System Administrator is responsible for managing IT vendor relationships, backup solutions, storage systems, server hardware management, and Linux/Unix administration.

Develop and implement state-of-the-art machine learning models and statistical methods using massive structured and alternative datasets to discover predictive signals, design experiments, validate ideas through simulation, and collaborate to move research into production trading strategies.

Ten-week technology internship at a multi-strategy hedge fund. Interns join a technology team and contribute to data ingestion, high-performance processing, modeling, portfolio and risk management, live execution, and post-trade analysis. The program includes strategic projects, trading simulations, mentorship, professional development, and presentations to senior leaders. Candidates should have a STEM background, programming experience, machine learning and AI knowledge, strong analytical and communication skills, and interest in financial services.

A 10-week platform internship supporting teams such as Data, Finance, Operations, Risk, Technology, Treasury, HR, Marketing, and Business Development. Interns contribute to strategic projects, automate processes and workflows, build dashboards and tools, improve operational efficiency, use AI tools, participate in a trading simulation, and present work to senior leaders.

Ten-week investment internship supporting a portfolio management team at a multi-strategy hedge fund. Responsibilities include identifying and evaluating data-driven investment insights, contributing to strategic projects, participating in a trading simulation, and presenting work to senior leaders. Interns receive mentorship, exposure to investment and platform teams, professional development, and networking opportunities.

Leads specialty exposure management for non-natural catastrophe and liability portfolios across insurance lines. Oversees analysts performing pre- and post-bind modeling, portfolio production, reporting, regulatory submissions, data quality, and model validation. Partners with underwriting teams to optimize risk-adjusted capacity deployment, presents portfolio insights to senior stakeholders, manages outsourcing relationships, and advances exposure management tools, workflows, AI, automation, and analytics capabilities. Requires extensive insurance or reinsurance catastrophe modeling experience and strong leadership, risk governance, SQL, and analytical skills.

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Design, develop, validate, operationalize, and maintain large-scale data models and analytics. Perform end-to-end analytics including data wrangling, feature engineering, modeling (including NLP and ML), MLOps, and stakeholder communication to drive business insights and improve operational efficiency.

Leads enterprise AI enablement by driving responsible tool adoption, employee communications, change initiatives, communities, learning, use-case scaling, and engagement measurement. Partners with legal, compliance, risk, HR, technology, marketing, and business leaders to create practical guidance, launch programs, executive updates, storytelling, events, and adoption strategies that help employees use AI effectively.

Build scalable Python backend services, REST APIs, data ingestion pipelines, orchestration workflows, and data platforms. Develop reusable tooling, integrate diverse data sources, optimize databases and cloud infrastructure, and improve system reliability, observability, scalability, and cost efficiency. Collaborate with software, data, infrastructure, and business teams while contributing to architecture and production troubleshooting. The role also requires frontend development using Node.js, React, and React-Redux.

Partners with business stakeholders to identify AI and automation opportunities, then designs, develops, tests, supports, and documents AI-powered applications, intelligent agents, workflows, and integrations. Builds solutions using Microsoft Copilot Studio, Power Platform, Microsoft 365, APIs, databases, and generative AI. Monitors performance, recommends enhancements, supports Power BI data servicing, and contributes to demonstrations, training, stakeholder engagement, and knowledge transfer.

Partner with attorneys to design, build, deploy, and maintain AI-enabled legal workflows (prompting, RAG, templates, evaluations). Provide training, change management, governance-aligned guardrails, monitor adoption and performance, and iterate on workflows with cross-functional teams.