Top Artificial Intelligence Jobs

Build Traba’s 0-to-1 AI agent platform for industrial supply chain workflows. Define product strategy, requirements, agent behavior, evaluations, quality frameworks, and system architecture. Partner closely with founders, engineering, ML, design partners, and customers to prototype, launch, and improve autonomous agents that reason through workflows, use tools, maintain context, and execute meaningful work. The role requires strong technical judgment, customer embedding, rapid experimentation, and comfort operating in highly ambiguous startup environments.

Counsel clients on data privacy, cybersecurity, and AI governance compliance; draft and negotiate technology and commercial agreements; support breach investigations, notifications, and regulatory reporting; and collaborate with corporate, IP, and litigation teams. The role requires a J.D. and 5–7 years of substantive experience in privacy, cybersecurity, technology transactions, or information governance.

Leads the strategy, roadmap, and full lifecycle delivery of data products, including curated datasets, analytics platforms, pipelines, and data infrastructure. Partners with engineering, data science, analytics, architecture, and business teams to define requirements, ensure scalability, quality, governance, privacy, and compliance, and translate technical concepts into business outcomes. Establishes metrics, dashboards, and reporting frameworks while managing stakeholders, prioritizing requests, and supporting modernization from legacy mainframe systems to data lakes and modern curation platforms.

Leads enterprise-wide AI strategy, governance, portfolio execution, ROI tracking, and responsible AI across multiple healthcare business units. Chairs AI governance bodies, manages initiative gating and investment decisions, coordinates clinical, operational, financial, vendor, compliance, and technology stakeholders, and drives measurable transformation outcomes. The role also leads AI talent development, organizational adoption, vendor discipline, clinical safety, regulatory readiness, and continuous improvement of the governance operating model.

Leads global procurement strategy for approximately £300 million in Data, AI, and Infrastructure spend. Develops category strategies, drives savings and business value, leads complex supplier negotiations, manages supply and compliance risks, and builds senior stakeholder and supplier relationships. Directs globally distributed procurement teams, develops organizational capabilities, and oversees strategy execution across business units and regions.

Owns the AMERS datacenter portfolio strategy and program-management rhythm across design, procurement, construction, commissioning, networking, capacity, and operations. The role maintains trusted milestone, risk, dependency, and capacity reporting; coordinates cross-functional initiatives; improves templates, workflows, automation, and telemetry; and drives executive-ready decisions, schedule adherence, cost control, quality, and operational reliability across large-scale infrastructure programs.

Supports enterprise AI upskilling, change management, communications, and responsible AI adoption across the Commercial & Investment Bank. Responsibilities include delivering AI literacy training, analyzing program gaps, creating data visualizations and executive communications, maintaining engagement metrics, and improving enablement initiatives. The role requires translating complex AI, technical, and regulatory concepts into practical materials while coordinating multiple initiatives across diverse stakeholders in a regulated financial environment.

Support New York City technology and innovation policy, strategic planning, digital service delivery, and special projects. Analyze technology trends and develop policy recommendations on issues such as AI, app delivery, and drone usage. Prepare briefings, memos, and presentations; coordinate interagency initiatives; manage stakeholder relationships; support complex, high-visibility programs; and develop systems for City Hall coordination.

Own enterprise sales across the TOLA territory by expanding existing accounts, acquiring new logos, managing the full sales cycle, developing territory strategies, forecasting, building channel partnerships, and achieving revenue targets. The role requires executive-level selling, solution-selling expertise, networking and security knowledge, and the ability to communicate AI and technical business value.

Leads development and deployment of generative AI solutions, including assistants, AI processing pipelines, tools, and scalable software services. Builds Python and Go applications using FastAPI and Gen AI frameworks, deploys AWS infrastructure with CloudFormation, and manages GitHub Actions CI/CD pipelines. Develops edge-device services, supports machine learning pipelines with Apache Airflow, and collaborates with data scientists to productionize analytics solutions. The role also requires software architecture, testing, technical writing, and coordination of complex cross-functional projects.

Develop and deploy generative AI assistants, processing pipelines, tooling, and software using Python or Go. Build FastAPI services, edge-device components, CI/CD pipelines, and AWS infrastructure. Apply LLMs, prompt engineering, and modern agent architectures using LangChain and LangGraph. Collaborate with data scientists to productionize scalable analytics and AI solutions, and assist with Airflow-based machine learning pipelines. The role also requires software architecture, testing, technical writing, and cross-functional collaboration.

Lead full-stack engineering teams building ServiceNow’s AI Experience Framework, a Lit-based platform for reusable conversational user interfaces. Own roadmap delivery, architecture, technical direction, staffing, mentoring, production escalations, and cross-team coordination. Guide decisions involving AI integration, performance at scale, server-rendered components, routing, APIs, state management, and multi-team framework adoption.

Build and ship LLM-powered production features end-to-end: prompt orchestration, tool calling, retrieval/RAG, embeddings, evaluation infrastructure, observability, safety guardrails, and integrations. Collaborate with clinical teams, prototype quickly, measure outcomes, and raise engineering standards through mentorship and technical leadership.

Build enterprise AI platform capabilities and production AI applications, including agentic workflows, retrieval-augmented generation, semantic search, vector databases, cloud-native services, and AI model operations. Collaborate with senior engineers on orchestration, developer tooling, governance, security, responsible AI, monitoring, testing, and compliance. Use Python, Google Cloud Platform, Kubernetes, CI/CD, and infrastructure as code while developing scalable AI solutions.

Lead the design and delivery of enterprise AI platform capabilities and production agentic AI solutions. Build multi-agent systems, RAG and knowledge management solutions, cloud-native infrastructure, and MLOps/LLMOps capabilities. Partner with business, architecture, security, legal, and risk stakeholders; influence architecture decisions; mentor engineers; and establish reusable engineering, governance, monitoring, and operational practices.

Designs and delivers enterprise AI platform capabilities and production-ready agentic applications. Builds multi-agent systems, RAG and knowledge platforms, orchestration frameworks, cloud-native services, and developer tooling. Implements MLOps and LLMOps for deployment, evaluation, monitoring, observability, and optimization. Partners with stakeholders, contributes to architecture and engineering standards, and independently owns initiatives from design through production deployment.

Leads the AI Services business, defining and executing enterprise AI strategy, developing AI-centric products and platforms, overseeing AI-focused sales and delivery teams, driving industry thought leadership, and building talent recruitment and upskilling programs. The role partners across vertical and service-line teams to accelerate AI adoption, growth, profitability, and innovation.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.

Join Welo Data’s remote Bosnian AI contributor network to support flexible projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; and prompt creation for large language models. Contributors help improve linguistic, cultural, and industry-specific accuracy in AI systems. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Bosnian, English proficiency, digital-tool comfort, and strong attention to detail are required.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Join Welo Data’s remote Tajik contributor network for potential AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s remote Igbo contributor network in Nigeria to support flexible AI projects. Potential assignments include annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and ensuring linguistic and cultural accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.