Top Artificial Intelligence Jobs

Leads the evolution of performance, talent management, development, succession, career growth, and Workday capabilities. Builds integrated, data-informed and AI-enabled talent experiences, strengthens manager effectiveness, and partners with HR, IT, and business stakeholders on scalable transformation, adoption, and organizational capability initiatives.

Software Engineering Interns support product integration and commercial operations by analyzing workflows, documenting complex processes, and developing scalable software, automation, and AI-enabled solutions. They collaborate with engineering, installation, field service, project management, and product development teams to improve efficiency, data visibility, and customer outcomes. The role is onsite and includes cross-functional communication, process improvement, data analysis, and problem-solving.

Own and grow federal government accounts through NASA SEWP VI and other contract vehicles. Build multimillion-dollar pipelines, develop customer and OEM relationships, shape opportunities, create compliant technology solutions and pricing, manage sales forecasts, and drive opportunities from identification through award and fulfillment. Collaborate with program, contracts, and finance teams while meeting revenue and gross-margin targets.

Maintain and repair plant electrical and electronic manufacturing equipment, ensure NEC compliance, perform PMs, troubleshoot PLCs and wiring, read blueprints, use test equipment, fabricate parts, support installation, and share on-call electrical coverage.

Leads customer experience strategy consulting by shaping executive POVs, experience frameworks, journey maps, service blueprints, prototypes, and AI-enabled transformation roadmaps. Facilitates executive workshops, directs research and competitive analysis, influences buying decisions, connects CX strategies to business outcomes, and mentors cross-functional teams. The role requires responsible AI expertise, human-centered design, executive storytelling, and daily onsite work at a Palm Beach Gardens client location, with up to 20% travel.

Build voize’s US partner ecosystem from the ground up, generating qualified pipeline and revenue. Own partnerships end to end, including sourcing, negotiation, launch, activation, and growth. Develop technology and solution partners, scope integrations, enable implementations, test referral, reseller, and co-sell models, and create scalable partnership playbooks. Represent voize in the US senior care ecosystem while providing market insights that shape go-to-market strategy.

Software engineering interns develop automation and software solutions that improve commercial operations, workflow efficiency, data visibility, and customer outcomes. They analyze manual processes, document complex workflows, collaborate with engineering, installation, field service, project management, and product development teams, and present solutions clearly. The role combines software development, systems thinking, process improvement, data analysis, and emerging AI technologies in an onsite medical technology environment.

Own Veeam’s global enterprise partner marketing strategy for its Data & AI Security portfolio. Build scalable partner go-to-market playbooks, define partner profiles and growth strategies, lead product launch readiness, create messaging and enablement assets, develop integrated campaigns, and drive partner-sourced and partner-influenced pipeline. Collaborate with sales, product marketing, alliances, channel, demand generation, and regional teams while tracking activation, campaign performance, and adoption metrics.

Drive the lifecycle and roadmap for safety, compliance, and connected vehicle products. Translate customer and sales feedback into product requirements, manage legacy platform enhancements, coordinate engineering and go-to-market efforts, and make build-buy-partner decisions. Scout emerging computer vision, radar, edge recording, and cloud technologies. Engage enterprise customers through discovery sessions, pilots, presentations, conferences, and technical objection handling.

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.

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.

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.

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.

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.

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.