Top Artificial Intelligence Jobs

Configure, integrate, and deploy the BT tool stack (Snowflake, Salesforce, Streamlit, workflow tools). Build integrations and Streamlit apps, deploy AI-enabled automations, maintain Snowflake data models and reports, catalog assets with DataHub, implement SDLC/testing/guardrails, ensure data security, and partner with Engineering/InfoSec while mentoring BT team members.

Design, build, and operate AI platform components (LLM gateway, model serving, developer tooling). Own features from development to production, contribute to reliability, observability, governance, and cross-functional integration while producing technical documentation and participating in design reviews.

Lead the technical design and architecture of open-source intelligence collection capabilities and cloud services. Direct a team to develop, document, and integrate architectural best practices, apply AI/ML to improve security and effectiveness, and ensure solutions meet customer requirements throughout design, development, and deployment.

Lead development of production AI-assisted engineering systems: build services, APIs, integrations, and tooling; direct and review AI coding agents and AI-generated code; establish repeatable practices, observability, testing, and secure delivery for enterprise platforms.

Design and operate AI agents and decision-support systems for GTM workflows. Embed in field motions, translate stakeholder research into prioritized backlogs, ship and iterate on production solutions, monitor adoption and quality, and scale reusable intelligence across revenue teams.

Design, build, and operate AI agents and decision-support systems embedded in GTM workflows. Conduct stakeholder research, prioritize problems, ship and iterate on agent outputs, monitor adoption and quality, and scale reusable solutions across sales and customer-success motions while staying closely embedded with field teams.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Lead People-side AI strategy and portfolio to design, govern, and scale AI-enabled HR experiences, intelligent workflows, and agentic solutions. Partner across HR COEs, shared services, Tech, Legal, Privacy, and Risk to ensure compliant, effective deployments, drive adoption, measure value, and build a high-performing AI enablement team.

Manage and execute Responsible AI governance workflows, intake validation, backlog remediation, documentation QC, audit readiness, and reporting. Coordinate stakeholders, prioritize and escalate higher-risk AI cases, drive process improvements, and mentor junior team members while scaling governance operations.

Lead design, develop, deploy, and support large-scale AI systems (foundation model training, LLM inference, vector search, guardrails, observability). Partner cross-functionally to optimize performance, scalability, and cost, and shape long-term foundational AI technical vision and roadmap.

Lead design, build, deploy, and support GenAI platform services (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, collaborate cross-functionally, contribute to technical vision and roadmap.

Execute and maintain Responsible AI governance workflows: intake validation, QC of AI submissions, remediation tracking, stakeholder coordination, reporting, and operational documentation to ensure audit readiness and timely closure.

Lead technical direction and people management for an AI/ML engineering squad. Design, build, and deploy production-grade ML and Generative AI solutions (LLMs, RAG, agentic systems), drive MLOps/CI-CD, ensure Responsible AI and HIPAA-compliant practices, conduct architecture/code reviews, and mentor engineers to deliver measurable business outcomes.

Lead enterprise account strategy and growth for a top-tier national financial institution. Drive revenue against aggressive targets, deepen executive engagement, align Mastercard capabilities to client priorities (AI, open banking, personalization, platforms), manage cross-functional execution, support pipeline and commercial planning, and act as central coordinator across stakeholders.

Lead enterprise account strategy and revenue growth for a national financial institution; deepen executive relationships, drive pipeline development across AI, open banking, platforms, and data solutions; coordinate cross-functional teams to deliver outcomes, manage high-visibility engagements, and meet aggressive sales and net revenue targets.

Lead enterprise account strategy and revenue growth for a top national financial institution. Deepen executive engagement, drive pipeline development for emerging solutions (AI, open banking, personalization), coordinate cross-functional teams, deliver against sales and net revenue targets, support high-visibility services and digital lab engagements, and manage annual/quarterly business planning and client-facing thought leadership.

Lead enterprise account strategy and growth for a top-tier financial institution. Drive revenue, deepen executive engagement, coordinate cross-functional teams, develop pipeline, and deliver solutions in payments, AI, open banking, personalization, and data-driven platforms while managing high-visibility client engagements and quarterly/annual planning.

Build and productionize agentic workflows and RAG pipelines, integrate LLMs into the GTM stack, and develop high-performance backend services and ML pipelines. Connect quoting engine, Salesforce, and data lakes, solve synchronization and architectural challenges, and ensure observability, scalability, and reliability for sales automation tools.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.

Lead and execute AI integration across finance and legal, owning strategy, sequencing, and delivery. Build and lead embedded AI Fellows, productionalize LLM-driven tools, drive adoption, measure business impact, and coordinate with external partners to consolidate initiatives and ensure enterprise readiness.

Lead enterprise AI integration across Product Development and Product Excellence. Build unified data infrastructure, deploy AI tools, reform program management, scale AI-powered quality and consumer insights, and lead an embedded AI Fellows team to drive adoption, measurable outcomes, and organizational change across hardware and consumer product lifecycles.

Design, develop, and maintain Python applications and AI agents, integrate AI solutions with APIs and data sources, build Power BI dashboards, prepare and model data, collaborate with stakeholders, document systems, and troubleshoot and improve analytics and automation solutions.

Lead and coordinate a team building generative AI solutions (agents, digital assistants). Provide technical direction, manage resources and schedules, enforce engineering best practices, ensure product quality, and mentor team members while delivering enterprise-scale AI systems across cloud and edge environments.

Lead technical development and deployment of generative-AI and ML models for condition monitoring and predictive maintenance. Design GPU-accelerated anomaly detection and digital twins, optimize deep learning for NVIDIA GPUs, enable edge/Jetson deployments, integrate multi-modal telematics data, build RAG-enabled LLM diagnostics, and lead cross-functional projects and stakeholder communications.