Top Artificial Intelligence Jobs

Leads the strategy, roadmap, evolution, and enterprise scaling of AI/ML platforms, GenAI tooling, agent frameworks, and shared infrastructure. Partners with engineering, security, architecture, product, and business teams to deliver secure, reliable, governed, and cost-effective AI capabilities. Establishes platform standards, guardrails, success metrics, and responsible AI practices while managing vendors and accelerating production AI adoption across the organization.

Directs enterprise IT operations, infrastructure reliability, service delivery, security controls, technology implementation, operational metrics, budgets, and continuous improvement. Oversees five IT managers, partners with cybersecurity and compliance teams, manages large-scale IT initiatives, and develops a high-performing operations organization. The role requires deep technical expertise across networking, servers, storage, disaster recovery, and security technologies, along with strong leadership, communication, stakeholder management, and budget administration skills.

Leads enterprise technology, CRM, data analytics, and AI strategy for a mission-driven organization. Oversees technology investments, vendors, architecture, cybersecurity, governance, data integration, AI adoption, change management, and measurable business outcomes. Manages technical leaders and teams, develops talent, partners with executives and the Board, and ensures reliable platforms, trusted data, and effective technology services.

Leads the architecture, development, security, and operation of the company’s AI platform, data foundation, internal applications, and automations. Responsibilities include building distributed systems, cloud data platforms, semantic layers, knowledge graphs, LLM applications, agentic workflows, MCP integrations, and governed automation. The role establishes engineering standards, leads hiring and mentoring, manages AI governance, and owns production systems end to end, including infrastructure, access controls, monitoring, cost, performance, and compliance for sensitive data.

Own top-of-funnel business development by researching and prioritizing prospects, conducting personalized multi-channel outreach, diagnosing buyer needs, booking qualified meetings for Account Executives, maintaining Salesforce data, enforcing suppression practices, and reporting conversion insights to sales and marketing leadership. The role uses AI tooling, sales enablement platforms, and SEO knowledge to develop informed points of view for prospective brands.

Build and support production-grade UiPath RPA, API, browser, document, and AI-driven automations. Own automation projects end to end, including requirements gathering, process documentation, development, testing, deployment, orchestration, and production support. Use UiPath Maestro or comparable orchestration tools for durable, fault-tolerant workflows, while managing code through Git. Automations may operate on sensitive healthcare, financial, and clinical systems.

Leads the development and scaling of Faire’s procurement function, including sourcing strategy, vendor negotiations, purchasing workflows, procurement policies, systems implementation, spend governance, and internal controls. Partners cross-functionally with Finance, Legal, Systems, and business leaders; manages procurement initiatives; identifies savings opportunities; and hires future sourcing professionals.

Lead enterprise pre-sales technical sales motions through discovery, solution architecture, product demonstrations, proof-of-concept engagements, and technical validation. Build relationships with data engineers, architects, marketing technologists, and executives; influence complex buying committees; and advise customers on AI workflows, data activation, and agentic marketing solutions. Partner with Account Executives, Product, and Engineering to shape account strategy and go-to-market efforts.

Build and publish AI-driven computer vision systems for real-time sports video analysis, large-scale game analytics, and fan-facing features. Collaborate with CMU researchers, take prototypes to production, and mentor students while deploying league-wide analytics platforms.

Leads CodeAI’s global strategy for expanding K-12 AI and computer science education outside the United States. Defines goals, KPIs, market approaches, programs, partnerships, and operating models; manages global performance, budgets, vendors, and a small team; and represents the organization to ministries, partners, funders, and media. The role requires scaling equitable education programs, building data-driven impact systems, adapting initiatives to local contexts, and aligning cross-functional stakeholders.

Designs, builds, and operates production-grade agentic AI systems and shared capabilities, including orchestration, planning, tool use, memory, retrieval, LLM infrastructure, evaluation, observability, and safety. Provides technical direction, owns cross-team architecture, leads design reviews, evaluates emerging AI techniques, partners with product and UX teams, and mentors engineers. The role requires deep distributed-systems and agentic AI expertise in an enterprise, regulated environment.

Leads AI enablement across Property and Casualty by identifying high-impact use cases, translating business needs into AI roadmaps, overseeing initiatives from ideation through deployment, and coordinating cross-functional teams. Establishes governance, ethical AI practices, KPIs, change management, workforce planning, and AI literacy programs. Builds stakeholder alignment, develops business cases, assesses data readiness, and promotes scalable adoption of generative and agentic AI capabilities.

Lead client discovery, architecture, and delivery of modern data platforms using Azure and Microsoft Fabric. Design lakehouse and warehouse solutions, build reliable pipelines and analytical models, enable BI and AI use cases, and implement security, governance, quality, monitoring, and optimization practices. Facilitate stakeholder workshops, produce technical deliverables, support deployments, and enable client teams.

Execute technical, local, organic, and AI search optimization for agency clients. Responsibilities include keyword research, website audits, schema markup, entity building, Google Business Profile management, content optimization, CRO alignment, analytics reporting, client presentations, and periodic travel for meetings. The role requires connecting SEO performance to leads, calls, sales, and broader client business outcomes while developing expertise in GEO, AEO, and AI-driven search visibility.

Leads demand planning and forecasting across U.S. and Canadian business units. Partners cross-functionally to improve forecast accuracy, service performance, inventory investment, and growth. Drives process standardization, digital transformation, planning system implementations, advanced analytics, AI adoption, governance, reporting, and continuous improvement. Manages strategic projects, stakeholder alignment, executive presentations, and planning technology optimization.

Leads ASHA’s enterprise-wide marketing and sales strategy to maximize non-dues revenue from products, programs, and services. Oversees the Marketing and Sales Cluster, budgets, sales objectives, staff development, brand strategy, market research, partnerships, sponsorships, and integrated communications. The role collaborates across organizational units, guides marketing and sales programs, identifies growth opportunities, and ensures cohesive execution across a matrixed environment.

Leads enterprise AI engineering strategy, architecture, platform development, governance, security, deployment, and operations. Builds scalable AI infrastructure and reusable services for foundation models, agentic systems, RAG, and machine learning applications. Evaluates emerging technologies, establishes enterprise standards and guardrails, manages lifecycle and costs, drives responsible AI adoption, and leads engineering and architecture teams through enterprise transformation.

Own and evolve Syndio’s AI platform runtime, including agent orchestration, tool calling, memory, context management, RAG, evaluations, observability, and production reliability. Design and ship backend systems in Python on GCP and Kubernetes, establish platform contribution standards, support compliance requirements, collaborate with product teams, and participate in incident response and on-call operations.

Leads financial planning, budgeting, forecasting, reporting, business intelligence, and finance transformation. Develops financial models, executive dashboards, KPI frameworks, and variance analyses while improving data governance, automation, and AI-enabled forecasting. Partners with executives and departments on strategic decisions, business cases, M&A, and performance improvement. Builds and manages a high-performing FP&A and analytics team.

Summer IT intern supporting end users, help desk operations, hardware and software configuration, installations, technical documentation, networking, VoIP, Microsoft 365, inventory tracking, and IT project planning. The role provides hands-on exposure to multiple IT functions through shadowing and collaboration with IT staff. This is a paid, on-site, 10-to-12-week internship in South Bend, Indiana, with a 40-hour work week.

Manage complex customer issues, triage support activity, and coordinate escalations across Client Engagement, Product, Engineering, and project teams. Analyze tickets and feedback to identify trends, risks, process gaps, and product opportunities. Improve support operations through documentation, dashboards, workflows, routing logic, playbooks, and feedback loops. Serve as a customer advocate while supporting strategic initiatives and strengthening handoffs, prioritization, and operational decision-making.

Leads the hands-on design, development, deployment, and adoption of AI agents, analytical applications, and production data services. Partners with business, analytics, engineering, security, and governance teams to convert complex needs into reliable solutions. Establishes reusable architecture for governed data access, orchestration, evaluation, observability, security, and responsible AI. Mentors engineers, reviews code and system designs, and manages performance, scalability, reliability, and cost across enterprise AI capabilities.

Lead the design and hands-on development of shared AI agent platforms for Cisco and Splunk security products. Build orchestration, evaluation, tracing, governance, memory, and tool-use systems for Agentic SOC capabilities across cloud, on-premises, sovereign, and air-gapped environments. Define AI quality metrics, improve production reliability and safety, ensure authorization and auditability, diagnose cross-system failures, influence technical direction, and mentor senior engineers.

Translates business requirements into technology solutions across enterprise platforms. Configures workflows, automation, and low-code/no-code solutions; supports integrations, testing, troubleshooting, AI-enabled features, documentation, training, and adoption. Partners with technical and functional stakeholders to improve processes, evaluate technology capabilities, and implement scalable solutions while managing multiple projects and priorities.

Leads institution-wide process improvement initiatives by mapping workflows, identifying inefficiencies, applying Lean and root-cause analysis, evaluating automation and responsible AI opportunities, and collaborating with departments on sustainable future-state processes. The role supports implementation, change adoption, training, documentation, metrics reporting, and continuous improvement across academic and administrative functions.