Top Artificial Intelligence Jobs

Lead the architecture, development, evaluation, and operation of enterprise autonomous AI agents integrated with Salesforce. Build stateful multi-agent workflows using LangGraph, Claude, and MCP; implement evaluation, observability, security, and PII protection; optimize model routing and performance; and establish engineering standards, API contracts, and architecture roadmaps. The role requires extensive software engineering and production LLM experience, strong debugging and stakeholder communication skills, and advanced English proficiency.

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.

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 and scale Forerunner’s new business sales organization across public-sector and regulated-industry markets. Own revenue strategy, bookings, pipeline, forecasting, sales processes, hiring, and team development. Manage Account Executives and BDRs while personally supporting major opportunities. Partner with Customer Success, Marketing, Product, and Operations to expand markets, improve procurement execution, and build a predictable B2B SaaS revenue engine.

Own product strategy and development for the Utility Owners segment. Conduct customer discovery, identify market opportunities, define positioning and roadmaps, prototype working software with AI tools, and bridge validated concepts to engineering. Track adoption and revenue outcomes while partnering with executives, customers, growth, and engineering. The role requires operating in a 0-to-1 environment, learning a regulated technical domain, and traveling to customer sites and the Austin office as needed.

Design user experiences for an AI-powered cybersecurity SaaS platform serving security providers and SMB users. Responsibilities include workflow and interaction design, UX research, prototyping, usability testing, information architecture, cross-functional collaboration with Product and Engineering, and contributing to design systems and accessibility standards. The role focuses on complex, data-dense security operations and human-agent workflows.