Top Artificial Intelligence Jobs

Build and launch AI-powered prospecting agents, SDR tools, lifecycle automations, onboarding flows, and internal products. Integrate CRM, sales, and marketing platforms using workflow tools, APIs, scripts, and LLMs. Own lead scoring, routing, SDR-to-AE handoffs, and lifecycle optimization. Measure impact on pipeline, meetings, activation, retention, and CAC payback while partnering with Sales, Lifecycle, Data, and Engineering teams.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Leads architecture, development, testing, and delivery for scalable enterprise software platforms. Drives adoption of AI-assisted development, intelligent automation, AI agents, copilots, observability, anomaly detection, and workflow solutions. Establishes engineering, quality, security, scalability, governance, and responsible AI practices while partnering with engineers, business stakeholders, and senior leadership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, research, feedback, and production insights to iterate quickly and improve outcomes.

Lead Market Access data strategy and a team to analyze processes, gather and validate requirements, design data-driven solutions, manage vendor/data contracts, ensure compliance, and drive implementation of data lake/big-data architectures and analytics to support payer and health system initiatives.

Design and implement data science solutions: ingest and clean data, build ETL pipelines, develop predictive models and algorithms, create visualizations, and collaborate with clients to deliver actionable insights. Work often involves intelligence-domain data and requires active TS/SCI clearance.

Lead data science efforts to manage metadata, research question tracking, tagging/classification, and data discoverability. Integrate research products into dashboards, guide teammates, develop algorithms and systems, and apply Databricks Unity Catalog, OpenLineage, and ESRI metadata APIs while adhering to IC tradecraft.

Lead implementation of metadata governance and lineage for structured and unstructured data in cloud environments. Ensure metadata synchronization across catalogs, ESRI/Kubernetes, and enterprise repositories. Apply OpenLineage/Apache Atlas or similar tools, enforce DoD/NSG geospatial metadata policies, and advise clients on metadata strategy and integration.

Assess public-sector organizations and design digital strategies and solutions (data analysis, process automation, UI/UX, AI). Work with stakeholders and technical teams to deliver transformative technology, influence decision-making, and improve mission effectiveness.

Fellowship-trained breast imaging radiologist to provide comprehensive breast imaging and image-guided interventions, participate in multidisciplinary care, teach residents/fellows, and engage in clinical and translational research and quality improvement within an academic breast imaging division.

Support compliance and privacy teams by designing and maintaining data systems, producing reports and dashboards, tracking trends, assisting audits and privacy risk assessments, coordinating systemwide projects, and ensuring monitoring, reporting, and confidentiality for compliance programs.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; analyze feedback and performance; and continuously iterate while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Stockbroking and broader financial services portfolio. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate based on data, research, feedback, and production issues. Balance speed, user experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features, monitor performance, analyze feedback, and iterate while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within AI Stockbroking and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; analyze data and feedback; launch features; monitor performance; and drive continuous iteration while balancing user experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, metrics, experiments, and production insights to launch features, monitor performance, and drive continuous improvement while balancing speed, experience, compliance, and operational complexity.

Own product areas within an AI-focused neobank across financial services such as insurance, payments, savings, investing, and travel. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous improvement.

Own product areas across AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, feedback, research, and production insights. Balance speed, user experience, business impact, compliance, and operational complexity.

Designs and delivers secure, scalable, resilient, and AI-ready data platform solutions on Microsoft Azure. Leads customer architecture sessions, proofs of concept, production deployments, technical enablement, and partner engagements using Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Advises stakeholders on performance, security, compliance, cost optimization, and operational readiness while supporting cloud adoption, consumption growth, and data modernization initiatives.

Own product areas within KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to iterate after launch.

Own product areas within AI Investing and other financial services, defining user problems, product scope, success metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, feedback, research, and production insights. The role requires strong product judgment, execution, prioritization, communication, and ownership in ambiguous environments.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use research and performance data to guide decisions, launch features, monitor results, and drive continuous iteration while balancing speed, customer experience, business impact, compliance, and operational complexity.

Lead enterprise SharePoint and Microsoft 365 architecture, modernization, governance, security, and migration initiatives in financial services. Design solutions across SharePoint Online, Teams, OneDrive, Power Platform, RPA, and AI technologies. Conduct business analysis, process discovery, automation design, and RPA migrations to Power Automate. Establish AI-enabled workflows using LLMs, RAG, agents, bots, Claude, MCP, and AI Builder while guiding distributed teams and advising senior stakeholders.

Provides strategic internal consulting on AI and data science initiatives across pharma commercial and product R&D teams. Advises senior leaders, designs AI/ML architectures, promotes enterprise platform reuse, influences platform roadmaps, and ensures compliance with GxP, privacy, and healthcare regulations. Guides multiple projects, mentors data scientists, develops analytical strategies, and advises on scalable model deployment, monitoring, and production performance.

As Director, AI Advisory, serve as a strategic partner to Global 2000 customers. Shape AI transformation journeys, lead workshops, enable operationalization of AI, and mentor team members.