Top Artificial Intelligence Jobs

Own the technical design and delivery of multi-component AI systems, including LLM-backed features, agent tool orchestration, evaluation frameworks, data pipelines, and model harnesses. Build reliable APIs, SDKs, and feedback loops; optimize latency and cost; assess external models and datasets; and support production systems through on-call rotation. Mentor engineers and collaborate across search, location intelligence, and platform teams.

Owns architecture, technical standards, and production delivery for Infrastructure AI Ops solutions, including telemetry pipelines, topology graphs, infrastructure-as-code remediation, anomaly detection, capacity modeling, and autonomous self-healing automation. Serves as a critical-incident escalation point, makes automation safety decisions, develops governance evidence for regulated environments, mentors senior engineers, and remains hands-on with production code and infrastructure.

Leads architecture, development, and operation of production AIOps systems. Establishes reusable ML, evaluation, safety, and remediation-automation standards; advances use cases toward guarded or self-healing autonomy; manages major incident escalations and kill-switch decisions; leads postmortems; mentors senior engineers; and represents engineering to risk, audit, and governance stakeholders.

Build and operate AI Ops systems for application operations in a regulated financial environment. Responsibilities include developing telemetry ingestion and feature pipelines, training anomaly detection and forecasting models, building LLM-based log analysis, correlating events, and creating tested remediation automation with rollback and safety controls. The role also requires production model monitoring, retraining, incident response, and participation in an on-call rotation.

Conduct applied research and experimentation on AI, machine learning, generative AI, AIOps, observability, and automation for application and infrastructure operations. Develop prototypes, evaluation frameworks, and experiments; assess accuracy, reliability, scalability, risks, and production readiness; and translate validated findings into technical recommendations and engineering opportunities. Communicate results to technical and business stakeholders while considering governance, privacy, security, and operational risk.

Build and operate AI-enabled infrastructure operations, including telemetry ingestion and feature pipelines, anomaly detection and forecasting models, topology graphs, event correlation, and guarded remediation automation. Develop rollback-enabled Terraform or Ansible workflows for infrastructure changes, monitor models and automations in production, support retraining and drift detection, and participate in on-call operations within a regulated financial environment.

Design, build, deploy, and support production AI applications for complex enterprise workflows. Develop LLM, retrieval, agentic, API, and distributed-service capabilities; create evaluation, testing, tracing, and observability practices; investigate AI failures; and optimize quality, security, performance, maintainability, and cost. Collaborate with domain experts, architects, data teams, and software engineers to translate specialized knowledge into reliable, explainable, and maintainable solutions.

Build foundational AI-enabled applications, prototypes, prompts, tests, documentation, workflow automations, and agentic solutions. Translate requirements into software components, scripts, integrations, and configurations while learning SDLC, security, privacy, and responsible AI practices. Support prompt engineering, retrieval-assisted use cases, API integrations, unit testing, troubleshooting, code reviews, demonstrations, and documentation. Collaborate with technical and non-technical teams and use approved AI-assisted development tools under senior guidance.

Leads the organization’s AI strategy, roadmap, and implementation across manufacturing and distribution operations. Identifies high-impact use cases, builds business cases, oversees pilots and system integration, improves data governance, establishes responsible AI policies, and drives adoption through training and change management. Measures operational and financial outcomes while partnering with executives, technical teams, and facility employees across multiple locations.

Leads SEO, AEO, GEO, and AI-search visibility strategies for a multi-location eyecare organization. Owns website and content strategy, landing pages, copywriting, editing, patient education, local search listings, and digital campaigns. Partners with internal teams, regional leaders, and agencies while using performance data and search insights to optimize content and improve patient discovery across markets.

Own GPTZero’s student-focused product from discovery through launch and iteration. Lead user research, define requirements and success metrics, manage experimentation, and partner with design, engineering, and ML teams. Build product processes from scratch as the first product manager while translating AI model capabilities and limitations into trustworthy user experiences.

Leads product operations and serves as chief of staff for Walmart’s AI Commerce portfolio. Partners with product, engineering, design, operations, and executive leaders to translate strategy into execution, coordinate global priorities, establish operating cadences, manage dependencies, analyze performance, resolve risks, and drive customer, associate, and enterprise technology initiatives across AI shopping, in-store experiences, associate platforms, omnichannel services, and corporate systems.

Own the quality, safety, performance, and evaluation of AI-powered consumer features. Build prompt and model evaluation frameworks, regression suites, guardrails, PII redaction, prompt-injection defenses, and compliance controls. Develop analyst and QA tooling, optimize cost and latency, lead model upgrades and A/B tests, and evaluate fairness and bias. Partner with engineering, analytics, legal, compliance, and product stakeholders while contributing to Python and Java services in production.

Reviews AI-generated consumer credit conversations and summaries for accuracy, relevance, safety, and compliance. Maintains failure-mode taxonomies and labeled regression datasets, measures evaluator agreement, produces weekly quality reports, and uses SQL and BI dashboards to identify trends. Escalates issues to Legal, Compliance, and Trust & Safety, while partnering with Product, AI, and QA teams to improve review tooling, evaluation rubrics, sampling, and product releases.

Advises senior executives on enterprise AI adoption and Microsoft cloud transformation. Identifies and prioritizes AI opportunities, develops adoption roadmaps, facilitates executive workshops, defines business value and productivity measures, redesigns workflows, builds stakeholder sponsorship, and coordinates with technical, change management, and governance teams. Establishes dashboards, tracks value realization, addresses adoption barriers, and supports responsible AI scaling across the enterprise.

Own the sales funnel for Benable’s Brand Portal, from prospect research and multichannel outreach through demos, follow-up, objection handling, and customer signup. Build repeatable AI-powered sales systems, automate recurring tasks, track pipeline performance, and improve messaging and channels based on results. Work directly with the founder and CEO to engage brand decision-makers and grow the company’s subscription product.

Advise clients on AI strategies, transformation roadmaps, operating models, governance, and implementation plans. Lead project workstreams, analyze business processes and technology ecosystems, identify AI opportunities, and partner with technical and change-management teams. Develop prototypes using agentic systems, RAG pipelines, and workflow automation tools. Support proposals, thought leadership, and knowledge sharing while helping organizations adopt responsible, scalable AI solutions.

Leads strategic revenue transformation for enterprise customers using Gong’s AI Operating System. Partners with senior stakeholders to architect workflows, drive adoption and change management, quantify ROI, and deliver measurable revenue outcomes. Owns renewal and expansion strategies while collaborating cross-functionally to improve the customer journey, engagement, retention, and growth.

Leads KIPP Foundation’s network-wide AI strategy, pilots, evaluation framework, vendor recommendations, and regional coordination. Advises senior leaders on instructional and operational AI, assesses efficacy, accessibility, equity, privacy, security, and cost, and translates findings into scale decisions. Builds partnerships with vendors, researchers, universities, funders, and KIPP regions while shaping national guidance and external communications. Requires deep AI expertise, substantial K-12 experience, evaluation leadership, and knowledge of FERPA and student data privacy.

Develops enterprise AI strategies and roadmaps for customers, identifying automation opportunities, prioritizing initiatives by ROI, and coordinating deployments. Uses conversation intelligence and operational data to uncover customer friction, optimize live AI agents, pilot emerging capabilities, and measure business impact. The role aligns senior stakeholders across CX, Operations, Product, Sales, and IT while collaborating with engineering and product teams to deliver measurable improvements.

Build and maintain production pipelines for AI model evaluation, scoring, monitoring, and optimization. Develop embeddings, classifiers, scoring services, dashboards, and internal tools for agent observability and safety. Apply fine-tuning and model adaptation techniques, run structured experiments, assess performance tradeoffs, and collaborate with engineering and product teams to ship reliable AI capabilities.

Leads financial crimes compliance analytics, data, and technology initiatives for BSA/AML, transaction monitoring, customer risk scoring, sanctions monitoring, and regulatory requirements. Oversees system optimization, model governance, workflow efficiency, data visualization, staffing analyses, and complex compliance projects. Partners with technology and senior FCC leaders, supports regulatory examinations, and manages a professional team through hiring, coaching, performance management, and development.

Own end-to-end technical delivery for complex customer deployments, translating business objectives into roadmaps, coordinating FDE, research, product, and customer teams, and driving systems from prototype through scale. Lead customer workflow mapping, production adoption, change management, dependency tracking, sequencing, ROI measurement, and executive communication. Codify reusable solution patterns and field insights to improve products and models, with a focus on Financial Services customers.

Creates, edits, and quality-checks AI-assisted narrative content for mobile games. Responsibilities include developing characters, dialogue, and in-game copy; generating content at scale; adapting writing for partner brands; playtesting and reviewing releases; and coordinating content schedules, quality standards, and delivery pipelines across creative, design, art, engineering, and partner teams.

Lead customer-facing AI transformation initiatives for federal agencies as a trusted technical advisor. Design cloud and collaboration solutions using Microsoft Copilot, agents, and Microsoft 365 Copilot; apply prompt engineering and agent-building expertise; drive adoption, change management, ROI, and customer success. Partner with sales and technical teams to identify expansion opportunities, manage senior stakeholder relationships, and deliver scalable, secure solutions across cloud and collaboration environments.