Artificial Intelligence Jobs in Stamford, CT

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads global product strategy and lifecycle management from definition through end of life. Drives product innovation, market research, competitive analysis, commercialization, pricing, and go-to-market planning. Develops roadmaps, aligns cross-functional teams, identifies growth opportunities, and oversees multiple initiatives. The role also promotes AI and agile practices, advances technology, mentors team members, and cultivates collaborative, innovative product environments.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

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.

Supports analysis of customer, operational, and transactional data to identify trends and improvement opportunities. Develops forecasts, reports, dashboards, and data resources; integrates data from multiple sources; performs data-quality checks; validates AI-generated outputs; and documents analytical methods. The role also assists with NLP-enabled customer-interaction analysis, including classification, clustering, and semantic analysis, while collaborating with senior analysts and business partners.

Supports AI governance projects by assessing risks and controls, documenting processes, gathering requirements, analyzing information, and synthesizing findings. Advises clients on regulatory compliance, risk management, internal controls, and governance improvements. The role involves applying AI/ML governance frameworks such as NIST and ISO, translating technical concepts for stakeholders, collaborating with diverse teams, and developing expertise in corporate governance and risk management.

Lead AI governance engagements by developing governance, risk, and control frameworks; analyzing regulations; managing client projects; mentoring staff; assessing AI/ML lifecycle risks; and advising stakeholders on compliant, transparent, and responsible technology adoption.

Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.

Leads enterprise AI governance initiatives, including governance frameworks, risk and compliance programs, controls, regulatory assessments, and responsible AI practices. Advises executive clients, oversees complex engagements, drives business development, develops innovative solutions, mentors teams, and translates technical AI governance concepts into actionable strategies. Requires expertise in AI/ML governance, risk, controls, audit, testing, validation, AI lifecycles, and leading frameworks such as NIST and ISO.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Develop AI governance frameworks aligned with industry standards, assess AI risk and control programs, interpret regulations and data, and provide actionable recommendations. The role involves client relationship management, translating technical concepts for nontechnical stakeholders, mentoring junior staff, and supporting AI governance policies, controls, audit, testing, and validation across complex regulatory environments.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Paid, full-time 11-week summer internship for a rising senior pursuing a bachelor’s degree. The intern will analyze customer reliability issues, research escalations, manage resolution through compliance checks and internal coordination, and identify trends using data and AI/ML research methods. The program also includes mentorship, networking, professional development, community service, and cross-functional projects.

Develop and manage editorial strategy for Gartner’s AI Daily Edge podcast. Responsibilities include researching AI developments, translating complex information into engaging scripts and narratives, coordinating with hosts, guests, producers, and stakeholders, fact-checking content, managing the programming calendar, writing promotional materials, and measuring audience feedback. The role requires strong conversational writing, audio storytelling, research, collaboration, and program coordination skills.

Leads distributed, cross-regional software engineering teams responsible for Conference Tech platform integrations. Drives the integration roadmap, cloud architecture, API-centric and event-driven platform development, engineering excellence, SDLC rigor, quality, responsible AI adoption, and organizational change. Partners with business and IT leaders to deliver secure, scalable enterprise solutions aligned with strategic priorities and improved conference attendee experiences.

Lead hands-on analysis of customer and business data within a Customer 360 sandbox. Identify patterns, signals, KPIs, and success metrics for AI initiatives; evaluate outcomes such as ROI, engagement, and customer lifetime value; and translate findings into actionable business recommendations. Work independently with minimal oversight while collaborating with stakeholders and clearly communicating analytical conclusions.

Senior Product Manager responsible for developing and scaling products serving General Counsels, Chief Audit Executives, and compliance and risk teams. The role includes gathering client and market insights, defining product strategy and roadmaps, launching and evaluating offerings, analyzing performance, driving adoption and retention, supporting go-to-market efforts, and collaborating with sales, engineering, research, and other cross-functional teams.

Leads the strategy, governance, operations, security, support, release management, integrations, data quality, and continuous improvement of the Oracle Fusion HCM platform. Partners with HR and business leaders to translate requirements into scalable solutions, drive adoption, evaluate AI capabilities, manage vendors and quarterly releases, and ensure reliable employee data and enterprise integrations. Leads and develops the Oracle HCM team while maintaining strong controls, documentation, and service delivery standards.

Leads Lovesac’s social-first content, community, creator, influencer, and cultural activation strategy. Translates consumer and cultural insights into compelling brand storytelling, manages content operations and creative teams, oversees agencies and production partners, and owns investment strategy and budgets. Establishes measurement frameworks connecting engagement to brand health, traffic, acquisition, conversion, and loyalty while partnering cross-functionally to strengthen Lovesac’s lifestyle positioning.

Drive net-new enterprise revenue for WRITER’s AI agent platform by managing the full sales cycle, prospecting strategic accounts, developing opportunities, leading executive discussions, negotiating deals, and maintaining accurate pipeline forecasts. Partner with product and customer success teams on tailored solutions and deployments while serving as a trusted product expert. The role targets global enterprises with 8,000+ employees and requires consultative, outbound, quota-carrying SaaS sales expertise.