Top Artificial Intelligence Jobs

Associate Consultant supporting government workplace advisory engagements. Responsibilities include building client relationships, analyzing organizational needs and data, developing strengths-based workforce solutions, managing change programs, creating deliverables, and facilitating executive sessions. The role requires strong communication, leadership, project management, critical thinking, and client advisory skills, with on-site work in Washington, D.C., Monday through Thursday.

Associate Consultant supporting K-12 and higher education clients through workplace advisory, change management, data-driven insights, executive facilitation, and sustainable solution design. The role involves managing client relationships and projects, researching education challenges, building trusted partnerships, and translating human and artificial intelligence insights into actionable recommendations. Candidates will collaborate with senior consultants, contribute to client deliverables, and work primarily onsite in Washington, D.C.

Associate Consultant supporting senior advisers on workplace consulting engagements. Responsibilities include developing client relationships, applying consulting frameworks, analyzing data with human and artificial intelligence, managing change initiatives, creating deliverables, and facilitating executive sessions. The role requires strong communication, critical thinking, leadership, project or client management experience, and a commitment to working onsite in Washington, D.C., Monday through Thursday.

This internship supports consulting teams serving workplace and organizational clients. Responsibilities include collaborating on client projects, researching and analyzing survey data, developing workplace solutions, designing and presenting an employee engagement project, delivering recommendations to leaders, and incorporating feedback. Interns will build business knowledge, presentation skills, consulting capabilities, and data-driven insight development while working onsite in Omaha four days per week.

Entry-level role supporting a law firm's Structured Finance & Derivatives group by evaluating and implementing generative AI tools, developing prompts and AI-powered workflows, testing outputs, researching emerging technologies, and identifying automation opportunities in legal practice. The position collaborates closely with attorneys and technology professionals and is designed for a tech-savvy graduating senior or recent graduate interested in AI, law, finance, or legal technology.

Leads new business development for Accenture’s financial services clients, shaping, negotiating, and closing large professional services deals. Builds executive relationships, develops value propositions, manages sales pursuits, influences client selection processes, and coordinates multidisciplinary deal teams through approval and close. Provides sales-process coaching, supports negotiations, and may supervise bid managers or sales team members. Requires travel up to 100%.

Own end-to-end strategy, roadmap, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Conduct customer and partner discovery, lead 0-to-1 launches, define experimentation and evaluation frameworks, and collaborate with engineering, design, sales, finance, and executives. The role requires hands-on LLM product expertise, strong judgment in ambiguous environments, and a focus on trusted AI experiences for security professionals and MSP/MSSP partners.

Leads the integration and adoption of modeling, simulation, and AI capabilities into clinical trial design workflows. Maps processes, identifies automation opportunities, translates user needs into developer requirements, establishes governance and improved ways of working, trains end users, monitors adoption, and drives continuous improvement across therapeutic areas and Data & Statistical Sciences.

Leads the integration and adoption of modeling, simulation, and AI capabilities into clinical trial design workflows across Data & Statistical Sciences. Maps workflows, identifies automation opportunities, translates business needs into developer requirements, establishes fit-for-purpose processes and governance, trains users, monitors adoption, and drives continuous improvement. Partners with statisticians, data scientists, solution developers, and therapeutic-area stakeholders to improve drug development decision-making.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Design, build, deploy, and manage AI systems and automations that improve customer onboarding, support, engagement, retention, and expansion. Develop predictive customer insights, digital experiences, workflows, and integrations with Salesforce, support systems, and data infrastructure. Translate ambiguous Customer Experience requirements into scalable technical solutions, independently make architecture decisions, monitor production systems, measure adoption and ROI, and continuously optimize based on user feedback and changing business needs.

Own a high-volume technical support queue and serve as the escalation point for complex customer issues. Troubleshoot APIs, integrations, and system behavior; lead customer calls; manage bugs through resolution; and partner with Product and Engineering. Mentor peers, improve documentation and playbooks, identify recurring issues, and recommend product, tooling, and process improvements while maintaining strong customer communication and empathy.

Own the end-to-end go-to-market enablement strategy for account executives, sales engineers, and customer success managers. Build onboarding, role-based learning paths, product-release readiness, competitive and customer-facing materials, and live training. Partner with Product, Engineering, Marketing, RevOps, and Field leadership to translate technical concepts into commercial value. Measure ramp time, certification engagement, and field productivity, while integrating AI into content creation, customer insights, coaching, and field workflows.

Provides legal counsel on export controls, sanctions, anti-corruption, and anti-boycott compliance across SpaceX programs. Advises engineering teams on jurisdiction and classification, manages licenses and authorizations, supports government engagement, leads investigations and audits, and improves global trade compliance policies and procedures.

Advise SpaceX on export controls, sanctions, anti-corruption, and antiboycott compliance across launch, satellite, and AI programs. Develop and improve global trade compliance policies, determine jurisdiction and classifications, manage licenses and authorizations, engage federal regulators, lead investigations and audits, and implement corrective actions. Partner with engineering and business teams as a trusted legal advisor while maintaining compliance with ITAR, EAR, and related regulations.

Leads enterprise AI adoption and process automation through use-case discovery, prioritization, governance, cultural enablement, and impact measurement. Chairs the AI Champion Group, supports the AI Steering Committee, coaches leaders on responsible AI and prompting, maps workflows, coordinates initiative handoffs, quantifies ROI, and manages continuous improvement. The role partners with executive and cross-functional teams while guiding AI literacy and responsible implementation without directly building production solutions.

Lead the CEO’s external communications strategy, including executive messaging, thought leadership, media relations, speaking opportunities, and LinkedIn presence. Partner with PR, social media, marketing, investor relations, legal, brand, and corporate communications teams to align the CEO’s voice with Twilio’s business strategy. The role requires exceptional writing, storytelling, executive judgment, media outreach, cross-functional influence, and the ability to manage high-stakes priorities in a fast-paced environment.

Lead product ownership for enterprise AI initiatives across client platforms, managing roadmaps, backlogs, delivery planning, KPIs, and stakeholder alignment while ensuring responsible development, governance compliance, and accelerating adoption and business value.

Freelance SME to review, validate, and refine a four-course Coursera specialization on AI-powered creative strategy. Conduct three-stage reviews (outline, full script, on-platform final), ensure source fidelity, verify Meta Ads Manager workflows and AI creative setups, draft/clean copy, and produce screencasts as needed. Up to 80 project hours, remote.

Own and scale Cobalt’s B2B SaaS go-to-market technology ecosystem, including Salesforce, HubSpot, customer success platforms, integrations, data enrichment, governance, workflow automation, and AI-enabled solutions. Translate business requirements into scalable systems across Marketing, Sales, Customer Success, and Revenue Operations. Manage architecture, data quality, monitoring, permissions, releases, documentation, and technical initiatives from design through optimization.

Analyze datacenter and agentic AI workloads on next-generation RISC-V CPUs. Characterize workload behavior, identify performance bottlenecks using profiling and simulation, reduce production workloads for modeling, correlate simulations with hardware, and recommend architectural improvements. Collaborate with CPU architects, RTL designers, compiler teams, and software engineers across hardware/software boundaries to improve CPU performance, scalability, throughput, and efficiency.

Designs cross-practice enterprise AI architectures spanning compute, networking, storage, cloud, cybersecurity, data, applications, governance, and managed services. Applies TOGAF ADM to create architecture deliverables, technology roadmaps, statements of work, and implementation governance. Collaborates with consulting, sales, presales, engineering, partners, and executive clients to translate business outcomes into scalable AI solutions. Requires expertise in AI infrastructure, agentic AI, MLOps, data platforms, and enterprise architecture, with substantial territory and national travel.

Build scalable backend services, distributed systems, APIs, and platform infrastructure for production AI and agentic applications. Develop reusable agent frameworks, evaluation pipelines, SDKs, and Python libraries while improving CI/CD, testing, observability, security, reliability, and cost efficiency. Use Snowflake’s AI ecosystem to deliver intelligent internal products, collaborate with cross-functional stakeholders, and establish engineering best practices for enterprise AI systems.

Design and develop AI SoC hardware through microarchitecture definition, RTL coding, simulation, and logic optimization. Perform timing, power, area, and design-integrity quality checks; integrate and validate IPs; support verification and resolve test failures. Apply secure development practices and drive quality assurance for IP and SoC handoff. Collaborate across multidisciplinary teams to deliver high-quality designs under demanding schedules.

Develop and deploy LLM and NLU systems that analyze clinical notes, medical records, and healthcare standards. Build reliable evaluation, benchmarking, governance, explainability, and data pipeline capabilities while integrating AI features into the platform. The role also involves backend and data engineering, collaboration with backend engineers, maintaining privacy and security standards, and supporting accurate clinical assessments and care recommendations.