Top Artificial Intelligence Jobs

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable financial products across payments, trading, wealth, and related services. Ensure accurate funds handling, trusted AI features, regulatory compliance, and effective execution in a distributed global team.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering across APIs, data flows, ledgering, reconciliation, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Build and lead an AI-native consumer investing business, defining its proposition, roadmap, business model, and investment experiences. Own P&L, assets, customers, engagement, revenue, and unit economics while partnering with product, engineering, and AI teams. Build investing, product, technology, and commercial teams; scale the business into new investment products and markets; and use AI to improve investment research, decision-making, and portfolio management.

Own an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, compliance, operations, finance, and external partners.

Own an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Shape systems involving APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating engineering, design, compliance, operations, treasury, and finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, limits, privacy, licensing, regulatory approvals, financial rails, and third-party dependencies. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning engineering, compliance, operations, treasury, finance, and design.

Build and own an AI-native stockbroking business, defining its proposition, roadmap, business model, and AI-powered investing experiences. The CEO will own P&L, funded accounts, assets, trading activity, revenue, and unit economics; build brokerage, custody, trading, and market infrastructure; manage strategic partnerships; lead product and engineering execution; and oversee team building, licensing, regulatory readiness, and market expansion.

Build and lead an AI-native finance business spanning spending, saving, investing, and everyday financial needs. Define product strategy, roadmap, business model, and financial workflows; launch and scale products; own P&L, growth, revenue, unit economics, and operations; collaborate with product, engineering, and AI teams; build the organization; and expand into new products and markets.

Design and lead agentic AI workflows for biologics discovery, automating secondary assay analysis and connecting lab automation, scientific data, models, and compute. Build real-time pipelines, resilient APIs, workflow orchestration, observability, and production integrations. Enable closed-loop design-make-test-learn feedback through high-quality, traceable, AI-ready data. Partner with discovery, data science, GenAI, ontology, MLOps, and infrastructure teams, while setting technical direction, evaluating emerging technologies, and mentoring engineers.

Design and build scalable enterprise applications in C#/.NET (APIs, microservices) and integrate AI capabilities (Python, LLMs, RAG, vector DBs, agentic frameworks). Own CI/CD, Azure DevOps workflows, containerized deployments, and collaborate across teams to deliver AI-enabled operational automation and agent integrations.

Build and lead an AI-native stockbroking business, defining its proposition, product roadmap, business model, and AI-powered investing experiences. Own P&L, growth metrics, trading activity, revenue, and unit economics. Develop brokerage, custody, trading, and market infrastructure; manage strategic partnerships; collaborate with product, engineering, and AI teams; build the leadership team; and oversee licensing, regulatory readiness, and international expansion.

Own the end-to-end strategy, roadmap, metrics, backlog, technical design, regulatory readiness, and launch of an AI-powered investing product. Partner with engineering, compliance, operations, treasury, finance, and design to ensure correct money movement, resilient integrations, trusted AI behavior, and compliant releases. The role requires strong technical product leadership, system design expertise, regulated-domain experience, and hands-on understanding of LLM evaluation and risk management.

Own an AI stockbroking product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements including KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Build and own an AI-native digital banking business, defining its proposition, roadmap, business model, and AI-powered customer experiences. The CEO will own P&L, customers, deposits, revenue, unit economics, and operating costs; collaborate with product, engineering, and AI teams; build the core team; establish banking and operational capabilities; and lead partnerships, regulatory readiness, and market expansion.

Lead and build an AI-native consumer investing business, defining its proposition, roadmap, business model, and investment products. Own P&L, assets, customers, engagement, revenue, and unit economics while developing AI-powered experiences for investment discovery, research, portfolio management, and decision-making. Partner with product, engineering, and AI teams; build investing, technology, product, and commercial teams; and expand into new markets and investment products.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead and build BJAK’s AI-native finance business, defining product strategy, roadmap, business model, and new financial offerings. Own P&L, growth, revenue, unit economics, and operating performance while partnering with product, engineering, and AI teams. Build cross-functional teams, launch and scale consumer fintech products, and expand into new markets.

Design and implement AI agents for mission planning and orchestration across autonomous systems, focusing on LLM frameworks and edge computing.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

The AI Solution Architect designs enterprise architectures for AI solutions, ensuring they align with business objectives and technology standards while guiding implementation and governance.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.

The Senior Manager of Embodied AI will oversee AI/ML engineering teams, manage operational excellence in data scaling for autonomous vehicles, and collaborate across teams to improve performance and innovation in AV technology.

Design, prototype, and deploy generative AI solutions (LLMs, RAG, agents) across the full lifecycle. Build scalable backend services and APIs, deploy models in cloud (AWS/Azure/GCP), collaborate with cross-functional teams, and support knowledge sharing and mentoring.

Design, prototype, and productionize generative AI solutions (LLMs, RAG, agents). Build scalable backend services and APIs, deploy on cloud (AWS/Azure/GCP), collaborate cross-functionally, and support knowledge sharing and mentoring.