Top Artificial Intelligence Jobs

Lead customer-facing implementations for Fortune 500 organizations by discovering and optimizing third-party risk processes, configuring workflows and automations in Certa Studio, integrating systems, debugging data flows, managing testing and go-live, and supporting hypercare. Translate customer feedback into product improvements, templates, and deployment accelerators while working with compliance, security, privacy, legal, procurement, finance, and sustainability stakeholders.

Drive new business and expansion across GitHub and developer productivity services, including Copilot, GitHub Advanced Security, migrations, DevOps, platform engineering, and AI enablement. Build relationships with engineering leaders, partner with Microsoft and GitHub sellers, develop account strategies and proposals, manage pipelines, forecast revenue, negotiate profitable deals, and close sales while ensuring strong client experiences.

Owns full-funnel demand generation and pipeline growth for a B2B SaaS company serving private equity and financial services buyers. Responsibilities include managing HubSpot campaigns, workflows, lead scoring, attribution, paid media, integrated campaigns, website conversion, SEO, social channels, events, content, and agency relationships. The role partners with executive leadership and sales, builds marketing systems from the ground up, and measures programs against pipeline and revenue outcomes.

Build AI agent evaluation and trace intelligence features, run benchmarks and experiments on Mastra primitives, and use findings to improve agent accuracy, configuration, and behavior. Develop tools that help developers understand agent performance and enable automatic self-improvement through evaluations, suggestions, and rollouts. This hands-on role combines experimentation, benchmarking, and production framework engineering in a fully remote environment.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.

Own Foresight’s brand positioning, messaging, product marketing, go-to-market enablement, customer marketing, content strategy, website messaging, and fundraising materials. Translate complex AI, data, and analytics capabilities into compelling value for private equity, venture capital, and financial services audiences. Partner with sales, product, partnerships, customer success, and leadership while managing agencies and contractors and tracking marketing effectiveness.

Leads client engagements involving data architecture, cloud-native data pipelines, AI models, AI agents, and generative AI solutions. Designs and deploys scalable platforms using AWS, Databricks, Snowflake, Python, and related technologies. Guides discovery, architecture decisions, roadmaps, proposals, and client relationships while mentoring engineers and overseeing delivery. Ensures data quality, reliability, security, monitoring, and alignment with project goals, timelines, and budgets.

Own the AI compute software stack for robotic edge devices. Design systems across CPU, GPU, NPU, and FPGA architectures; deploy and optimize neural networks, LLMs, vision models, and deterministic robotics algorithms under real-time constraints. Establish testing and code-quality standards, coordinate cross-functional delivery, plan initiatives, de-risk technical challenges, and maximize hardware performance using optimized C++ and Python. The role requires embedded deployment, hardware execution expertise, accelerator experience, and robotics algorithm knowledge.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Lead clinical implementations for HealthLeap across health systems, from planning through go-live and sustained adoption. Build trust with clinical leaders and frontline teams, design training, identify workflow barriers, measure impact, influence product decisions, validate new capabilities, and represent the company at conferences and site visits. The role requires substantial inpatient clinical experience, change leadership, data fluency, comfort with ambiguity, interest in AI, and regular travel.