Top Artificial Intelligence Jobs

Leads user support as a consultative IT service organization, partnering with business leaders and corporate IT to improve enterprise technology adoption and service outcomes. Oversees incident, request, and problem management; drives automation, self-service, root-cause analysis, metrics, modernization, communication, and change readiness. Develops support managers and specialists while aligning priorities with enterprise strategy and using business insights to influence technology decisions.

Own Savvy’s enablement engine for Sales and Operations by designing onboarding, ramp, recurring training, certifications, coaching, and performance interventions. Partner with leaders and subject-matter experts to translate complex products and processes into engaging, practical learning. Diagnose capability gaps, measure ramp and productivity outcomes, build scalable knowledge systems, and use AI to personalize simulations, coaching, and learning content.

Provide legal and compliance support for AI across its lifecycle: risk assessments, governance framework implementation, contract review, regulatory tracking, training, and audit readiness to enable responsible AI adoption in a regulated life sciences environment.

Leads controllership and G&A accounting, monthly close, financial reporting support, and internal controls. Drives finance transformation through Oracle Fusion, automation, AI, analytics, process standardization, and close modernization. Partners with Finance, Technology, Audit, Treasury, Procurement, and external auditors to improve scalability, governance, accuracy, and reporting. Provides leadership, coaching, and development for accounting teams while supporting U.S. GAAP compliance and operational efficiency.

Designs, develops, and supports secure AI-powered applications, agents, APIs, integrations, and workflow automations. Builds Generative AI solutions using LLMs, prompt engineering, retrieval patterns, and enterprise data. Responsibilities include full software delivery lifecycle participation, AI output evaluation, stakeholder collaboration, secure engineering, governance, monitoring, risk controls, and operational readiness.

Leads global engineering process optimization across product lines, improving efficiency, quality, reliability, cycle time, and productivity. Standardizes DFSS, requirements traceability, FMEA, design quality, and continuous improvement practices. Deploys AI-enabled engineering tools and digital technologies, aligns workflows with PLM and engineering systems, establishes performance metrics, and drives adoption across global teams. The role is onsite in Westerville, Ohio, or Novi, Michigan, with 10–20% domestic and international travel.

Leads technical program integration for the NCCT intelligence-targeting program, coordinating contractors, vendors, government stakeholders, and technology providers. Oversees software and system capability planning, development, testing, deployment, requirements translation, technical evaluations, budgets, schedules, and contract documentation. Applies data engineering, software architecture, containerization, orchestration, messaging, and API integration expertise to resolve complex integration challenges. Requires technical team leadership, operational intelligence experience, DoD standards knowledge, TS/SCI clearance, and travel as needed.

Leads the design, development, deployment, and governance of enterprise AI and machine learning systems. Builds production generative AI applications using LLMs, RAG, copilots, and automation; develops scalable pipelines, APIs, integrations, predictive models, and analytics. Partners with stakeholders to prioritize AI use cases, ensures model security and monitoring, evaluates emerging tools, drives rapid prototyping, documents solutions, and mentors engineers.

Lead Unity’s organization-wide AI enablement strategy, training, adoption, automation, workflow redesign, and practical governance. Build prototypes and smaller AI tools, manage vendors and tooling, measure adoption and ROI, and partner with Product, Engineering, and IT on scalable solutions. The role also designs evolving responsibilities, team structures, and ways of working as AI becomes embedded across the business.

Lead the vision, strategy, roadmap, platform definition, and go-to-market for LaunchDarkly’s end-to-end data products, spanning SDK ingestion, data infrastructure, analytics, observability, experimentation, and AI-powered experiences. Partner cross-functionally with engineering, design, marketing, sales, and customer teams; advocate for customers; ensure reliable data foundations; monitor industry trends; and mentor other product managers. Candidates need substantial product or data-intensive engineering experience and strong knowledge of modern data architectures.

Leads the Business Intelligence, reporting, analytics, and data governance functions. Manages and develops the BI team, oversees enterprise dashboards and KPI frameworks, ensures data quality and governance, delivers business insights, supports data integration and warehouse initiatives, and enables AI and advanced analytics. Partners with cross-functional leaders to transform enterprise data into actionable recommendations for operational, financial, sales, inventory, customer, and strategic decision-making.

Leads and grows an engineering team building new products from concept through commercial launch. Partners with product leadership to translate market hypotheses into architectures, makes build-versus-buy decisions, owns technical execution, and improves reliability, observability, and scalability. The role combines hands-on technical leadership, people management, hiring, career development, and high-ambiguity 0-to-1 product development.

Build and deploy production AI agents and applications on Azure using Python, Node.js, TypeScript, and C#. Develop retrieval pipelines, knowledge bases, APIs, integrations, evaluation frameworks, Terraform infrastructure, and CI/CD automation. Implement observability, security, privacy, responsible AI controls, and production support. Contribute to solution design, technical trade-offs, vendor integrations, and agent-assisted development practices while independently delivering high-quality software.

Supports organization-wide IT infrastructure while integrating, deploying, monitoring, and troubleshooting AI applications and machine learning models. Maintains system performance, capacity, security, firewall compliance, and cloud environments. Provides technical support, resolves incidents, modifies software packages, contributes to system design and testing, and serves as a subject-matter expert and escalation point for junior engineers. Requires familiarity with RAG, cloud architecture, virtualization, enterprise security, and evolving regulatory requirements.

Develops and supports enterprise AI applications, data pipelines, software integrations, and full-stack prototypes. Designs data structures, ETL processes, queries, reporting solutions, and data warehousing strategies. Troubleshoots production AI incidents, performs systems analysis and testing, supports project planning, maintains applications, and provides technical guidance to junior staff. Applies RAG, vector databases, agentic AI, and Model Context Protocol concepts while supporting financial crime and compliance-related systems.

Supports digital PR campaigns through media outreach, journalist and influencer relationship building, pitch writing, content promotion, interview preparation, trend monitoring, and campaign performance analysis. The role combines SEO, brand storytelling, data-informed execution, and AI-powered tools. It is designed for an early-career professional with strong writing, organizational, communication, and research skills who is eager to learn digital PR fundamentals.

Develop data-driven consumer stories by researching credible datasets, analyzing and validating findings, guiding writers, managing editorial projects, and creating clear data visualizations. The role also involves building AI-assisted and automated workflows for research, analysis, quality assurance, and content production while independently validating outputs and maintaining editorial standards.

Designs, develops, fine-tunes, evaluates, and deploys machine learning and generative AI models, including LLMs, RAG systems, embeddings, and agents. Builds end-to-end ML pipelines, integrates Google Cloud data services, implements monitoring and drift detection, and applies responsible AI, security, governance, and compliance practices. Partners with stakeholders, data engineers, platform teams, DevOps/SRE, and junior engineers to deliver reliable AI solutions.

Leads distributed engineering teams delivering enterprise applications, APIs, integrations, cloud-native AWS solutions, microservices, and AI-enabled applications. Oversees technical direction, people management, modernization, API governance, data architecture, Agile delivery, DevSecOps, and engineering excellence. Partners with business, product, architecture, and operations stakeholders while ensuring scalable, secure, compliant solutions aligned with healthcare requirements.

Own and grow strategic global hyperscale accounts across cloud, AI, and data center customers. Develop global account strategies, build executive relationships, coordinate complex international sales opportunities, expand share of wallet, manage pricing and commercial agreements, and negotiate supply contracts. Partner with R&D, engineering, product, and procurement teams to secure specification wins and commercialize Brady solutions across customer value chains.

Manages revenue-cycle operations for a law firm by monitoring work in progress and accounts receivable, accelerating billing and collections, preventing budget overruns, and escalating aging or complex matters. The role produces financial reports, analyzes billing data, supports process improvements and automation, ensures compliance with client requirements, and collaborates with attorneys, practice managers, finance teams, clients, and executive leadership.

Leads a global 60-person BDR organization responsible for inbound and outbound pipeline generation across public-sector, enterprise, and destination-marketing segments. Develops go-to-market strategy, improves conversion and pipeline velocity, implements AI and sales technologies, establishes performance systems, and partners with Sales, Marketing, Product Marketing, Communications, and Revenue Operations. Oversees playbooks, qualification, coaching, technology adoption, cross-functional alignment, and talent development.

Leads Granicus’s end-to-end AI go-to-market strategy, including commercialization, pipeline generation, strategic enterprise deals, customer value realization, and repeatable sales motions. Builds and manages AI Advisors, Architects, and Value Engineers while partnering across Sales, Product, Marketing, Services, and Customer Success. Establishes performance metrics, develops market feedback loops, enables the field, and translates AI capabilities into differentiated customer and business outcomes.

Leads firmwide legal AI initiatives by identifying use cases, building and implementing AI agents, evaluating emerging solutions, supporting pilots, resolving technical issues, and driving adoption. Collaborates with attorneys, IT, vendors, and leadership to assess risks, document technical limitations, deliver training and content, manage testing milestones, and provide recommendations based on pilot results and use-case data.

Generates demand and qualified opportunities for AI solutions serving government organizations. Conducts high-volume discovery calls, identifies AI and process-automation opportunities, progresses prospects through qualification, and scopes pre-sales engagements. Partners with account executives, BDRs, marketing, revenue operations, and AI specialists while maintaining Salesforce pipeline accuracy. Advises customers on AI use cases, surfaces market insights, and supports bookings across assigned territories.