Top Artificial Intelligence Jobs

Leads architecture, development, and optimization of enterprise data platforms using Microsoft Fabric and Azure. Designs Lakehouse, OneLake, Spark, SQL, ETL/ELT, data models, and reporting solutions. Collaborates with business, IT, and vendors; supports compliance, documentation, SDLC, change management, and DevOps practices. Provides technical expertise and contributes to AI, Copilot, advanced analytics, and cloud-native data initiatives.

Leads revenue operational transformation by modernizing quote-to-cash and deal-support workflows, improving scalability, identifying inefficiencies through analytics and AI, and reducing financial statement risk. Acts as a Revenue Management subject matter expert across enterprise initiatives while applying accounting rigor, managing projects, and communicating strategic recommendations to executives.

Own end-to-end production data platforms, writing Python and SQL, designing AWS pipelines, modeling analytics data, and implementing quality and reconciliation controls. Make architecture decisions independently, ensure correctness and auditability, and use AI coding tools effectively. The role also supports applied AI initiatives including entity resolution, LLM-assisted analytics, embeddings, and anomaly scoring.

Design, build, and deploy autonomous AI agents by developing agent architectures, decision logic, memory systems, tool integration, inference flows, evaluation, and monitoring. Deliver scalable, production-ready agentic systems and collaborate with engineering teams to ensure reliable, safe, and observable multi-step agent behavior across distributed environments.

Build and refine practical generative AI tools for global Account Executives, develop an AI-powered selling curriculum, and deliver demonstrations, training, and supporting materials. The role gathers user feedback, tests emerging AI capabilities, troubleshoots independently, and collaborates with sales operations. It is a hands-on individual contributor position without people management responsibilities.

Leads enterprise AI architecture strategy, governance, and platform direction across Generative AI, Agentic AI, RAG, and LLM systems. Defines architecture roadmaps, standards, reusable patterns, integration frameworks, data foundations, and responsible AI controls across AWS and Azure. Oversees AI portfolio investments, value realization, production operations, vendor strategy, and executive stakeholder alignment while developing enterprise AI architecture talent.

Leads technology strategy, solution architecture, sales engineering, and technical delivery across a Defense Enterprise portfolio. Shapes federal captures, advises senior DoD customers, develops secure architectures spanning cloud, data, AI, autonomy, cybersecurity, and enterprise IT, and guides solutions from pursuit through delivery. The role also establishes architecture standards, manages technical risk, supports modernization and challenged programs, builds strategic partnerships, and mentors architects, engineers, data scientists, and cybersecurity professionals.

Lead the architecture, implementation, and operation of scalable AI/ML infrastructure. Build CI/CD pipelines for model development and deployment, manage data ingestion, serving, monitoring, security, and performance, and collaborate with AI researchers and software engineers. Mentor junior engineers and establish best practices for AI/ML platform development, automation, and cloud infrastructure.

Provide technical advisory and hands-on AI engineering support for design, evaluation, and advancement of AI-enabled applications. Assess LLMs, RAG, agentic workflows, orchestration frameworks, and architectures; develop prototypes, guidance, and technical recommendations; support test and evaluation activities and brief government stakeholders while ensuring operational relevance.

Lead product strategy and execution for Iris Chat, an AI-powered psychological fitness product. Own product vision, customer journeys, activation, retention, conversion, subscription value, experimentation, and AI quality. Manage product, design, engineering, and AI research teams; hire and develop leaders; balance research and delivery; and establish standards for evaluation, privacy, safety, reliability, and user trust. Partner with leadership to build a focused roadmap and durable consumer business.

Apply FANUC robotics software to physical AI, external motion control, virtual commissioning, and digital twin applications. Provide pre- and post-sales technical support, simulations, demonstrations, troubleshooting, and application optimization. Investigate issues, develop proof-of-concept solutions, support product planning and validation, and create demonstration systems. The role also conducts market analysis and contributes technical requirements for intelligent robotics products and software enhancements.

Leads Citi’s enterprise agentic AI strategy, roadmap, product development, implementation, governance, and industrialization. Translates business use cases into scalable AI platform capabilities, oversees experimentation through production deployment, and establishes standards for security, responsible AI, observability, resilience, and human oversight. Partners with product, technology, architecture, engineering, risk, compliance, and business leaders while measuring adoption, performance, reuse, and business value.

Designs, secures, deploys, and maintains cloud-native AI platforms and DevSecOps infrastructure in AWS GovCloud and regulated environments. Builds CI/CD pipelines, infrastructure-as-code, automated testing, AI/ML workflows, integrations, monitoring, and security hardening. Supports ATO readiness, compliance, prototype-to-production transitions, product commercialization, technical strategy, demonstrations, proposals, and customer engagements.

Support enterprise sales by qualifying prospects, analyzing functional and technical needs, responding to RFPs, creating tailored demonstrations and proof-of-value environments, and translating legal department requirements into SaaS solutions. Develop value propositions, commercial proposals, ROI use cases, and sales enablement materials while collaborating with Product and R&D. The role requires legal-sector knowledge, B2B SaaS complex-sales experience, and at least five years in a customer-facing software or consulting role.

Designs and implements large-scale software frameworks for computer vision and machine learning across embedded, mobile, desktop, and cloud environments. Leads open-source software quality and code review efforts, integrates third-party libraries, optimizes complex systems, and supports distributed and GPU-based computing. The role contributes to research and development in areas including 3D reconstruction, object detection, image manipulation detection, and anomaly detection.

Lead cybersecurity, AI, and technology risk assessments across systems, cloud environments, business processes, and initiatives. Maintain the enterprise cyber risk register, track mitigation plans, translate technical findings into business risks, support FAIR-based quantitative analysis, and prepare executive reporting. Partner with Security, Legal, Product, IT, and business teams to assess architectures, AI use cases, emerging technologies, and third-party integrations while strengthening GRC processes and operational resilience.

Define and execute healthcare product strategy, roadmap, and outcomes-driven experiences across women’s health, cardiometabolic health, mental health, and preventive care. Lead cross-functional work with engineering, design, data science, clinical, regulatory, and commercial teams from concept through launch. Use member research, analytics, experimentation, and AI-powered personalization to improve health outcomes while ensuring regulatory, ethical, and scientific rigor.

Leads direct-to-consumer commercial planning, revenue forecasting, performance management, executive reporting, and operating cadence. Partners with Growth Marketing, Finance, Supply Chain, and Analytics to evaluate performance, prioritize investments, develop pricing and promotional strategies, and translate analysis into actionable recommendations. Drives cross-functional initiatives from strategy through execution, improves forecasting methodologies and planning processes, and influences senior stakeholders without direct authority.

Leads post-market quality and compliance for radiology-related SaMD products. Owns complaint handling, adverse event assessment, trend analysis, CAPA, nonconformances, field actions, recalls, quality metrics, audits, and inspection readiness. Partners with Regulatory Affairs, Medical, Product, Engineering, and Customer Support to investigate software and safety issues, improve QMS processes, and ensure compliance with FDA, Health Canada, EU MDR, ISO 13485, and MDSAP requirements.

Define, deploy, and scale AI-driven capabilities for Dematic’s Command Center platform. Identify industrial AI use cases, develop business cases and requirements, guide engineering, validate solutions with customers, lead pilots and deployments, establish responsible AI practices, and support commercialization. The role partners across product, AI, engineering, implementation, sales, and operations teams to deliver measurable improvements in warehouse, distribution, manufacturing, and automation outcomes.

Leads partner marketing strategy and growth plans for ServiceNow and Adobe. Manages partner investments, Market Development Funds, alliance funding, integrated campaigns, KPI performance, ROI analysis, pipeline growth, and executive business reviews. Collaborates with sales, alliances, finance, operations, and business-unit leaders to align marketing investments with revenue, margin, and strategic growth objectives. The role also drives standardized planning, governance, reporting, partner engagement, and AI-enabled marketing improvements.

Designs and deploys advanced AI, machine learning, and generative AI solutions for fintech and payments. Owns the full data science lifecycle, develops scalable MLOps pipelines, builds LLM and agentic AI applications, and applies models to fraud, risk, forecasting, personalization, anomaly detection, and payment optimization. Partners with cross-functional teams, mentors data scientists, and ensures production solutions meet standards for governance, privacy, security, observability, and responsible AI.

Lead the technical vision and architecture for AWS cloud-native platforms and agentic AI capabilities. Establish standards for distributed systems, DevOps, Kubernetes, GitOps, security, observability, SRE, and data architecture. Govern architecture reviews, technical decisions, infrastructure evolution, and technology evaluations. Create architecture documentation, threat models, runbooks, and reference designs while advising product partners and mentoring senior engineering teams.

Owns strategic account growth for AI engineering and enterprise modernization services. Builds C-suite relationships, originates and wins complex transformation programs, shapes multi-year roadmaps, leads pursuits and commercial negotiations, and coordinates consulting, AI, data, cloud, product, design, engineering, and technology partners. The role converts pilots into scaled programs, develops executive perspectives, builds business cases, supports mobilization, coaches leaders, and drives pipeline, bookings, revenue, margin, and account expansion.

Record approximately 640 provided text cards in native Puerto Rican Spanish using an internal platform. Contributors must produce clear, accurate recordings in a quiet environment, follow detailed instructions, maintain their natural dialect, and re-record submissions when needed. The project is remote, flexible, task-based, lasts about one month, and requires advanced English for instructions, suitable recording equipment, reliable internet, and completion of a trial recording.