Top Artificial Intelligence Jobs

Designs and develops advanced full-custom and compiler-based memory circuits, including SRAMs, caches, register files, ROMs, and custom memories. Responsibilities include circuit simulation, characterization, cache and critical-path analysis, memory architecture, bit-cell and peripheral design, automation, PPA optimization, methodology development, and cross-functional execution for advanced CMOS CPU and SoC products.

Design, develop, test, and debug CAD/EDA automation tools, scripts, workflows, and deployment pipelines supporting physical design, place and route, DRC verification, and hardware manufacturing. Gather stakeholder requirements, maintain CAD and EDA infrastructure, develop distributed job management tools, improve resource utilization, document reusable processes, and collaborate with hardware, process, and manufacturing teams.

Lead front-end silicon design and verification for neuromorphic chiplets, IP, processors, and AI accelerators. Translate architectures into microarchitectures, manage design through post-silicon validation, integrate high-speed interfaces and external IP, collaborate on physical design and custom memories, enable pre-silicon software development, and mentor multidisciplinary engineering teams. The role requires ownership of product tape-outs and experience with advanced ASIC methodologies.

Develop user interface and user experience designs using Figma, requiring at least six years of experience. Candidates must be eligible to work in the United States.

Lead end-to-end engineering for Claude Science, an AI workbench for scientific research. Shape product and technical direction from 0 to 1, work directly with scientists, translate research workflows into shipped products, and partner with research teams to improve model capabilities through evaluations and real-world feedback. Drive cross-functional alignment across engineering, product, design, and research while owning high-impact roadmap initiatives.

Leads Anthropic’s Financial Services technical deployment portfolio, managing Technical Deployment Leads, customer outcomes, staffing, delivery quality, and executive relationships. Oversees complex AI engagements from scoping and statements of work through production deployment, establishes evaluation frameworks and reusable technical playbooks, and partners with Sales, Marketing, Product, and Research. Requires enterprise AI/ML delivery experience, financial services expertise, technical architecture fluency, value-based scoping, people leadership, and executive communication. Travel to customer sites is expected 25–50%.

Design and operate scalable, reproducible data infrastructure for large language model pre-training. Build high-throughput distributed processing systems, including tokenization, deduplication, chunking, quality assurance, validation, and end-to-end pipelines that convert web-scale corpora into training-ready datasets. Collaborate with research teams on novel architectures while emphasizing reliability, fault tolerance, traceability, and performance.

Own full-cycle recruiting for go-to-market roles across Sales, Marketing, Partnerships, Customer Success, and Revenue Operations. Develop sourcing strategies, build diverse talent pipelines, partner with executives and hiring managers, improve structured interviews, support offer strategy, track recruiting metrics, strengthen employer branding, and mentor junior recruiters or coordinate agencies. The role focuses on scaling a high-growth AI startup’s revenue organization.

Supports Revenue Operations across data quality, GTM systems, project management, enablement, and analytics. Validates account and opportunity data, troubleshoots systems, configures users, streamlines go-to-market processes, develops onboarding and sales enablement materials, and builds reports on pipeline health, funnel conversion, win/loss trends, and revenue forecasts.

The Forward Deployed Engineer partners with enterprise clients to identify AI opportunities and deliver production-ready solutions. Responsibilities include building forecasting, optimization, clustering, anomaly detection, generative AI, and agent-based systems; defining data and modeling strategies; implementing monitoring, retraining, and governance; and supporting organizational adoption. The role contributes to multiple implementations while collaborating with BI, Finance, Operations, and business stakeholders.

Build agentic LLM systems that acquire, clean, validate, curate, and document large-scale biomedical datasets for multimodal model training. Develop reliable agent architectures, tooling, evaluation harnesses, quality-control workflows, and reproducible data pipelines. Collaborate with ML scientists, monitor distributed production pipelines, diagnose failures, and implement secure sandboxed execution with restricted access and audit logging.

Serve as the CEO's strategic and operational right hand at an AI LegalTech startup: prepare executive/board/investor materials, build financial models and decks, contribute litigation expertise to product content, validate LLM-generated analyses, drive cross-functional execution, manage company operations (recruiting, vendor administration, OKRs), represent the CEO, and handle special projects across finance, legal, and partnerships.

Serve as Pepr AI’s first business hire, partnering with founders, customers, and engineers. Own customer engagements, performance reporting, proposals, and follow-through; translate customer needs into product requirements and shipped improvements; track KPIs, support planning, resolve execution blockers, and improve internal processes. Support founder-led sales through collateral, pipeline management, outbound experiments, and other go-to-market initiatives.

Leads Northern Trust’s U.S. public funds and Taft-Hartley institutional client segment. Develops growth and retention strategy, builds relationships with pension stakeholders and consultants, represents the firm externally, translates market insights into solutions, and oversees a high-performing coverage team. Maintains accountability for pipeline, revenue, client concentration, risk, compliance, and business development while securing and retaining institutional mandates.

Manages large, complex fee-producing investment portfolios for high-net-worth trusts and individuals. Develops and executes investment strategies, generates new business, meets sales targets, collaborates with client service teams and legal/consulting partners, adheres to national investment guidelines, and contributes thought leadership and practice improvements.

Lead global client marketing strategy for asset management across institutional, wealth, and intermediary segments. Own annual marketing plans, integrated campaigns, messaging, sales enablement, custom content, events, lead scoring, nurture programs, campaign optimization, budgets, and cross-functional stakeholder relationships. Partner with sales, investment, product, compliance, digital, and creative teams to drive client acquisition, retention, engagement, and revenue growth. Manage, mentor, and develop a global team while applying industry insights and emerging technologies.

Lead Sembi’s global renewals organization across six SaaS brands. Own renewal strategy, retention, churn, contraction, bookings, forecasting, CRM discipline, reporting, risk mitigation, and operational improvements. Build consistent renewal processes and playbooks, partner cross-functionally across Customer Success, Sales, Finance, Operations, Product, Support, and Marketing, and recruit and develop a high-performing global team to create a predictable, customer-centric recurring revenue engine.