Top Artificial Intelligence Jobs

Own product strategy, requirements, capabilities, and roadmaps for AI-powered document intelligence solutions. Evaluate AI models, platforms, tools, and build-versus-buy options; define evaluation criteria; guide proof-of-concept scope; review benchmarks; and deliver recommendations addressing feasibility, quality, scalability, cost, security, privacy, governance, and production readiness. Partner with engineering, architecture, data science, and security teams while communicating technical tradeoffs to senior stakeholders.

Analyze complex operational and intelligence datasets to identify trends, develop models, automate workflows, and produce actionable insights for national security missions. Build data pipelines, dashboards, analytic applications, and AI/ML and NLP solutions using Python, R, and enterprise data platforms. Apply quantitative, qualitative, geospatial, and mixed-methods analysis while collaborating with intelligence, operations, research, and technology teams. Support OIE, PSYOP, and irregular warfare mission requirements.

Leads complex, cross-functional web programs from planning through delivery, including website launches, digital campaigns, development initiatives, and continuous improvements. Owns program plans, schedules, resources, risks, dependencies, documentation, and stakeholder communications. Coordinates Creative, IT, marketing, campaigns, developers, agencies, and consultants; translates business objectives into roadmaps; supports Agile delivery; and establishes scalable digital processes and best practices.

Build and productionize AI-driven GTM workflows for Growth, including outbound orchestration, campaign tooling, signal and enrichment pipelines, seller skills, paid-media automation, review agents, and deliverability controls. Own reliability, observability, testing, learning loops, warehouse integrations, and migration to the Firn framework while partnering with data engineers, marketers, sellers, and platform engineering.

Lead the expansion of Snowplow’s Firn applied AI platform, initially focused on go-to-market intelligence. Design and productionize platform services, agents, tools, MCP and LLM gateways, tracing, evaluation infrastructure, learning loops, and data integrations. Establish engineering standards for reliability, observability, cost management, documentation, and recovery while setting the technical roadmap and guiding platform architecture. Collaborate with data engineers and nontechnical internal customers, and own services as they transition into production.

Owns enterprise AI financial operations, including spend visibility, FinOps governance, forecasting, scenario planning, TCO modeling, cost allocation, chargebacks, ROI analysis, and optimization. Partners with Finance, Procurement, IT, data engineering, enterprise architecture, and executives to manage consumption-based AI costs, improve unit economics, support vendor strategy, and align investments with business value.

Design and deliver production-grade agentic AI experiences for Workday Financials. The role integrates foundation models and AI APIs into user-facing products, orchestrates multi-step agent workflows, and develops evaluation datasets, test suites, and automated metrics. Responsibilities include ensuring privacy, reliability, explainability, and governance for sensitive enterprise data; collaborating across product and engineering teams; mentoring teammates; and addressing latency, cost, and system reliability constraints.

Designs and delivers end-to-end AI/ML solutions on Google Cloud, including data ingestion, feature engineering, model training, deployment, and monitoring. The role leads client discovery, translates business needs into AI/ML strategies, develops roadmaps, provides technical leadership, and supports testing and user training. It requires hands-on Gemini and GCP expertise, customer-facing consulting experience, and collaboration across engineering and product teams.

Design and implement scalable AI, data, and analytics solutions using Snowflake, AWS, GCP, and agentic AI technologies. Define agent architectures, integrations, data flows, reusable components, governance controls, and deployment patterns. Lead proofs of concept, technical reviews, troubleshooting, documentation, and mentorship for generative AI engineers. The role also references data product strategy, governance, agile delivery, product roadmaps, and leadership of product owners and analysts.

Leads sales engineers designing and winning large-scale dark fiber and AI Connect infrastructure solutions for hyperscalers and neoclouds. Oversees GPU campus interconnect, data center interconnect, long-haul, metro, and cloud on-ramp designs; establishes fiber, routing, latency, and construction standards; evaluates business cases and commercial structures; partners with planning, construction, legal, finance, and operations; develops talent and represents Verizon with customers and industry stakeholders.

Build and operate production AI/ML systems at scale. Responsibilities include monitoring model performance, detecting drift, implementing evaluation loops and safety guardrails, managing fallbacks, developing automated retraining and deployment pipelines, resolving live incidents, and collaborating on cloud, on-premises, and edge architectures. The role also involves code reviews, mentoring, and promoting secure and ethical AI practices.

Leads commercial pricing strategy for GPUaaS and AI cloud infrastructure. Develops pricing frameworks, unit economics, deal structures, governance processes, and revenue-share models. Partners with Product, Sales, Finance, Legal, and ecosystem partners on complex enterprise contracts. Builds financial models covering TCO, CapEx, IRR, NPV, payback, and discounted cash flow; monitors market pricing, deal performance, margins, utilization, renewals, and conversion. Supports executive approvals and negotiations for multi-year cloud infrastructure agreements.

Own product marketing for Escape’s application security platform, defining positioning, messaging, go-to-market strategies, launch plans, competitive research, thought leadership, and sales enablement. The role translates technical security capabilities into compelling narratives for security leaders and engineers, supports pipeline growth, and establishes scalable product marketing processes across US and European markets.

Lead the product strategy and execution for LawnStarter’s consumer and Pro AI agent experiences. Own conversational AI, agent actions, customer-to-Pro messaging, human handoffs, workflow integrations, external AI agent access, evaluations, and guardrails. Ship reliable AI capabilities that resolve issues, complete bookings and service changes, improve productivity, and increase retention. This individual contributor role requires cross-functional leadership across engineering, applied science, design, data, support, and operations.

Design, develop, and maintain scalable full-stack AI applications across frontend, API, and backend layers. Translate business requirements into secure, reliable solutions and own the complete software lifecycle from design through support. Build AI-native systems using LLMs, retrieval-augmented generation, agentic workflows, and automation. Collaborate across teams, resolve performance and reliability issues, improve engineering standards, and develop reusable cloud-native platforms for enterprise-wide use.

Leads commercial strategy and go-to-market for ibex’s AI Agent products. Develops market positioning, customer use cases, value propositions, ROI models, sales enablement, competitive intelligence, and partner co-selling programs. Leads executive client discovery, strategic deal support, and cross-functional alignment across Sales, Marketing, Product, Operations, Technology, and platform partners. Translates AI capabilities into differentiated, measurable business value without owning engineering or delivery.

Provides strategic legal counsel on consumer protection, UDAAP/UDAP, digital initiatives, disclosures, consent frameworks, and emerging regulatory risks. Advises Marketing, Product, Compliance, and Legal teams on customer-facing innovations, including AI, digital signatures, websites, and apps. Leads enterprise legal standards, risk mitigation, regulatory analysis, issue escalation, and related innovation projects while serving as a trusted advisor across the organization.

Designs, deploys, and operates secure cloud and hybrid infrastructure for enterprise AI workloads. Responsibilities include container orchestration, GPU-enabled compute, APIs, microservices, CI/CD, infrastructure as code, MLOps, model serving, monitoring, data platform integration, and AI governance. The role partners with architecture, cybersecurity, data, and application teams to establish scalable AI platforms and support AI agents and models across business and manufacturing systems.

Build and maintain AI agent runtimes, enterprise integrations, connectors, APIs, and observability frameworks. Connect AI solutions securely to ERP, MES, CRM, databases, file systems, and business processes. Partner with architecture, data, infrastructure, cybersecurity, and business teams to operationalize AI use cases, establish reusable integration standards, and deliver scalable production solutions.

Supports the development of enterprise AI products by identifying opportunities, designing agentic workflows, authoring product and technical specifications, building prototypes, and collaborating with engineers through product release. The role focuses on applying AI, machine learning, process mining, APIs, context engineering, and evaluation methods to business-critical transactional systems.

The Acquisition Sales Specialist sells CoCounsel solutions to new law firms by meeting sales targets through outbound prospecting, managing leads, and utilizing Salesforce for tracking interactions and sales forecasting.

Leads the global People Operations function for a rapidly scaling biopharmaceutical company. Builds the operating model, employee-service delivery structure, lifecycle processes, governance, controls, and global mobility integration. Oversees onboarding, offboarding, payroll coordination, benefits, records, leaves, accommodations, compliance, and work authorization. Sponsors HR service-delivery technology, self-service, automation, and AI initiatives while measuring operational performance. Builds and leads a global team, supports regional expansion, and partners with HR, Legal, People Technology, and business leaders.

Leads integration engineering, platform modernization, AI-enabled automation, testing, and quality assurance across pharmacy and consumer wellness technology organizations. Oversees cloud-native and legacy platforms, AIOps, AI/ML and LLM adoption, CI/CD, incident management, roadmaps, budgets, vendor relationships, and engineering teams. Establishes quality standards, metrics, OKRs, and operational practices while driving technical debt reduction, cost optimization, workforce development, and reliable delivery.

Leads Faraday Future’s business, user ecosystem, sales, partnerships, and regional operations across the U.S. Northeast. Owns regional P&L, revenue growth, strategic accounts, partner relationships, New York office operations, cross-functional coordination, market intelligence, and team development. Requires extensive business development, sales, or general management experience, strong Northeast market knowledge, and leadership in robotics, AI, automotive, or high-tech industries.

Leads AI strategy and transformation consulting engagements, including readiness assessments, use-case prioritization, roadmaps, operating models, business cases, responsible AI governance, adoption programs, and value realization. Advises senior executives, coordinates business and technical teams, develops consulting offerings, drives business development, and mentors consultants. The role requires strong AI and data fluency, transformation leadership, executive facilitation, stakeholder management, and experience delivering measurable client outcomes.