Top Artificial Intelligence Jobs

Leads the design, development, deployment, and operationalization of enterprise AI/ML, generative AI, and automation solutions. Provides technical leadership across architecture, engineering practices, evaluation, monitoring, governance, security, and responsible AI. Partners with cross-functional stakeholders, mentors engineers, establishes reusable standards, evaluates production readiness, and ensures scalable, reliable, compliant, and cost-effective delivery of AI/ML capabilities.

Leads AI-enabled analysis and strategy for an oncology research portfolio spanning discovery through preclinical programs. Uses predictive modeling, scenario analysis, knowledge graphs, competitive intelligence, and advanced analytics to assess scientific strength, probability of success, portfolio fit, prioritization, and resource allocation. Collaborates with research, translational, clinical, and strategy teams, presents recommendations to senior leadership and governance committees, and champions AI-driven decision-making across pharmaceutical R&D.

Leads consulting engagements focused on customer sales and service strategies, sales operations, customer engagement, and revenue growth. Analyzes client needs, guides teams through strategy implementation, identifies business transformation opportunities, promotes AI-enabled sales processes, manages stakeholder relationships, and coaches high-performing teams.

Leads DFMEA-driven 3D CFD and thermal-fluid analysis for propulsion and battery systems. Responsibilities include modeling battery thermal performance, thermal runaway propagation, venting dynamics, power electronics, and failure containment; conducting architecture trade studies; correlating simulations with physical tests; communicating results; and advancing CFD and multiphysics methods. The role requires propulsion-system experience, commercial CFD software expertise, heat transfer and fluid mechanics knowledge, and a mechanical or aerospace engineering degree.

Design, develop, test, certify, and deploy autonomy components for large off-road machines across perception, planning, control, and learning. Take robotics solutions from prototype through production on real hardware, contribute across the autonomy stack, and collaborate in outcome-focused engineering pods. The role involves simulation, on-vehicle deployment, field robotics, and potentially machine-learning infrastructure.

Leads Metropolis's hospitality growth strategy, commercial expansion, national account sales, partnerships, vertical marketing, and product commercialization. Owns the segment growth target and collaborates with sales, operations, marketing, product, and data teams to build market-leading hospitality solutions. Responsibilities include developing commercial structures, scaling the Recognition Platform, creating industry partnerships, translating customer insights into product-market fit, and using data-driven tools to accelerate pipeline performance and value creation.

Leads retail growth and commercial strategy, owning revenue expansion, national account wins, partnerships, B2B marketing, deal structures, product-market fit, and vertical offerings. Builds retail industry relationships, coordinates sales, product, marketing, operations, and data teams, establishes growth reporting, and represents the company through trade press, conferences, and industry thought leadership.

Leads hospitality-sector growth strategy, commercial expansion, national account wins, partnerships, vertical marketing, and profitable segment performance. Collaborates with sales, operations, product, marketing, and data teams to scale parking, security, recognition, and biometric technology solutions. Owns hospitality growth targets, commercial structures, product-market fit, industry positioning, dashboards, and enterprise relationships across major hospitality brands.

Leads retail growth and commercial strategy, owning segment revenue and expansion. Responsibilities include winning national accounts, developing partnerships, shaping vertical solutions and deal structures, scaling B2B marketing, collaborating with product and sales teams, building growth reporting, and representing the company through industry thought leadership. The role requires extensive retail relationships, strategic business development expertise, financial modeling, P&L management, and cross-functional leadership.

Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.

Designs and implements Zero Trust architectures, leads customer engagement and solution design, gathers requirements, evaluates existing systems, and provides technical leadership for deployment optimization. The role requires deep networking and cybersecurity expertise, knowledge of NIST Zero Trust Architecture, advanced technical credentials, customer-facing communication, cloud familiarity, and the ability to apply AI tools to improve workflows and problem-solving.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, guardrails, evaluation, orchestration, and observability. Optimize model performance, scalability, latency, throughput, hardware utilization, and cost. Establish AI governance standards, lead technical reviews, shape long-term platform strategy, and mentor senior AI engineers. Collaborate with engineering, research, product, and program teams to deliver responsible AI products.

Conduct applied AI research focused on recommendation systems and foundation models. Design, train, evaluate, validate, and implement large-scale models using PyTorch, AWS, Hugging Face, and Lightning. Collaborate with data scientists, engineers, and product managers to deliver AI products, translate research into business outcomes, and publish technical findings. Own research agendas, reproduce and extend peer-reviewed work, and optimize models for large-scale training and inference.

Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and model evaluation. Lead AI architecture, orchestration, cost-performance governance, technical reviews, roadmap development, and responsible AI standards. Mentor senior technical staff and apply advanced optimization techniques to improve model scalability, latency, throughput, hardware utilization, and inference cost.

Build and lead development of cloud-based, full-stack systems supporting observability, connectivity, resilience, and availability. Design distributed microservices, define service boundaries, establish engineering standards, improve system performance, reduce technical debt, and implement AI-powered solutions. Collaborate with product managers and architects, influence technology strategy, mentor engineers, and drive cross-functional technical initiatives using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes.

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Design, develop, validate, and deploy machine learning, GenAI, LLM, and agentic solutions for enterprise healthcare operations. Build scalable Python inference APIs on Kubernetes, implement semantic search and retrieval capabilities, and maintain AI/ML pipelines. Evaluate emerging technologies, apply responsible AI practices, use AI-assisted development tools, and collaborate with technical and business stakeholders while ensuring strong documentation, coding standards, and performance monitoring.

Leads multiple software engineering teams within employee platforms, providing technical guidance, managing delivery, coaching engineers, and ensuring compliance with business requirements and service levels. Drives responsible adoption of enterprise-authorized AI-assisted development, SDLC automation, and reusable engineering practices. Oversees stakeholder relationships, project dependencies, agile delivery, security, application resiliency, and cloud-native engineering initiatives.

Own the vision, strategy, roadmap, and execution of Snapchat safety, law enforcement, and regulatory compliance products. Define goals and metrics, identify opportunities through data and user research, collaborate with engineering and cross-functional partners, translate regulatory requirements into product solutions, and drive launches. The role requires strong analytical, communication, prioritization, relationship management, and AI-focused problem-solving skills.

Manage approximately 30 enterprise agency and systems integrator partner relationships. Build strategic partnerships, advise partners on Klaviyo solutions, drive referrals, co-selling, revenue growth, co-marketing, enablement, and product adoption. Serve as a trusted consultant and product expert, present to partner audiences, develop joint business strategies, and collaborate cross-functionally with Sales, Customer Success, Marketing, Product, and Enablement. Travel may be required for partner meetings and events.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Leads enterprise risk and resilience advisory engagements, structuring complex client challenges across cybersecurity, cloud, AI, governance, compliance, and transformation. Develops recommendations, roadmaps, executive presentations, proposals, scopes of work, and engagement plans. Coordinates cross-functional subject matter experts, facilitates executive workshops, supports pursuits, and contributes to methodologies, frameworks, and reusable practice-building assets.

Leads enterprise risk and resilience advisory engagements spanning cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structures complex client problems, facilitates executive workshops, develops recommendations and execution plans, coordinates cross-functional experts, supports pursuits and solution development, and creates methodologies and reusable practice assets. Builds trusted executive relationships while helping grow RapidScale’s Risk & Resilience advisory practice.

Lead enterprise Risk & Resilience advisory engagements spanning risk, cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structure ambiguous client problems, lead workstreams, facilitate executive workshops, develop recommendations and roadmaps, support proposals and solution design, coordinate subject matter experts, and create repeatable consulting methodologies and practice assets.

Leads enterprise Risk and Resilience advisory engagements across cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structures complex client problems, facilitates executive workshops, develops recommendations and execution plans, supports pursuits and solution development, coordinates cross-functional experts, and creates consulting methodologies, frameworks, proposals, and reusable practice assets.