Top Artificial Intelligence Jobs

Own and define a major area of Faros’s AI-native product line. Develop agentic workflows, evaluation and intelligence layers, and integrations with engineering context. Form product hypotheses, prototype with models and tools, collaborate with engineering and design, engage customers, analyze agent performance, and rapidly iterate toward strong customer and business outcomes.

Build Lighthouse AI, an intelligence engine for engineering organizations. Develop scalable ML infrastructure, LLM-powered interfaces, causal analysis models, data exploration tools, prompt engineering strategies, evaluation frameworks, and feedback loops for enterprise AI agents. Fine-tune models for performance, latency, and cost, integrate AI features into product experiences, and apply current research to business problems while collaborating across product, data, and engineering teams.

Serve as the technical backbone of the pre-sales process by partnering with Account Executives, answering technical prospect questions, running proof-of-concept evaluations, troubleshooting issues, and relaying requirements to Engineering and Product teams. Manage evaluation timelines, support prospect success, improve customer-facing tools and processes, and communicate effectively with technical and security buyers in a fast-paced cybersecurity startup.

Leads the Business Execution Engineering department for Northrop Grumman’s Strategic Intelligence and Data Exploitation organization. Manages approximately 30 technical leaders while supporting program execution and captures in a dual program and functional leadership role. Responsibilities include talent development, staffing, engineering execution, technical baselines, cost and schedule management, metrics, budgets, process improvement, resource allocation, and issue resolution. The role is onsite in McClellan, California, or Chantilly, Virginia, with travel up to 25%.

Leads the Business Execution Engineering organization supporting cyber, intelligence, and cryptographic programs. Manages approximately 30 technical leaders while splitting responsibilities between program or capture execution and functional engineering leadership. Oversees talent development, staffing, technical baselines, cost and schedule management, metrics, budgets, process improvement, workload forecasting, and issue resolution. Requires collaboration across engineering and business organizations, leadership of distributed teams, onsite work, and travel up to 25%.

Build scalable and resilient Python Django web applications, APIs, SaaS products, mobile solutions, and enterprise integrations. Design back-end architecture, APIs, data models, and integrations; conduct code reviews; ensure secure, performant, maintainable code; mentor developers; document systems; estimate work; and plan project timelines. The role also involves AWS and Azure infrastructure, CI/CD, Docker, observability, and collaboration with product and front-end teams.

Build and deploy AI agents, automations, and internal tools that improve productivity across go-to-market, finance, operations, product, and engineering. Identify high-impact automation opportunities, partner with functional and engineering leaders, contribute to developer productivity workflows, maintain internal knowledge systems, and drive adoption. The role requires hands-on technical ability, process judgment, commercial awareness, and ownership from opportunity identification through implementation.

Leads Applied AI Architects supporting complex enterprise customers from discovery and solution evaluation through production adoption and measurable business value. Responsibilities include hiring and coaching the team, defining regional operating models, advising executives, guiding secure and scalable AI architectures, managing technical account plans, coordinating cross-functional specialists, monitoring portfolio health, and translating customer and field insights into product and go-to-market improvements.

Owns the sales pipeline from inbound prospect contact through demos, follow-ups, negotiation, and close. The Account Executive maintains CRM hygiene, conducts outreach across multiple channels, tailors solutions and pricing, handles objections, and partners with senior sales to achieve revenue targets. The role requires strong communication, organization, resilience, customer curiosity, and consistent performance in a fast-paced SaaS environment.

Own the sales pipeline from first prospect contact through virtual demos, follow-ups, negotiation, and closing. Maintain accurate CRM records, progress leads through the funnel, tailor solutions and pricing to customer needs, handle objections, and collaborate with senior sales teammates to achieve revenue targets. The role requires strong communication, organization, persistence, analytical thinking, and consistent performance in a fast-paced SaaS environment.

Own the sales funnel from prospect contact through conversion, including inbound demos, outbound follow-up, CRM hygiene, virtual product demonstrations, objection handling, negotiation, and pipeline progression. Partner with senior sales team members to meet revenue targets, improve messaging, and provide customer feedback. The role requires strong communication, organization, resilience, SaaS sales experience, and consistent achievement of goals.

Lead architecture, design, development, deployment, and operational support for scalable cloud security applications. Define technical requirements and specifications, oversee code quality, troubleshoot complex stability and scalability issues, evaluate technologies, conduct reviews, communicate solutions to leadership, and mentor engineers. The role also involves developing AI-enabled and agentic systems, distributed services, data platforms, and security capabilities across multiple teams.

The Chief Operating Officer oversees operations across patient services, clinical departments, and quality assurance for a multi-site eye care practice. Responsibilities include strategic planning, process improvement, staff leadership, patient experience, regulatory compliance, financial management, facilities and vendor oversight, technology adoption, and risk management. The COO develops policies, monitors performance metrics, manages budgets, supports employee engagement, and ensures efficient, compliant, high-quality care delivery.

Leads a customer-facing MSP organization supporting multiple external clients. Oversees service delivery, technical operations, customer satisfaction, staffing, performance metrics, escalations, budgeting, profitability, and team development. Establishes scalable processes, drives automation and standardization, partners with Sales and executive leadership, and develops technology roadmaps involving AI and emerging solutions. Requires substantial MSP leadership experience, including managing technical service-delivery teams and customer escalations.

Develop ABAP integrations and AI agents for complex SAP environments. Build software across the frontend, backend, infrastructure, and AI stack; design specialized LLM harnesses; support enterprise customers; identify SAP implementation edge cases; and influence product direction. The role requires strong ABAP and SAP expertise, experience with large implementations and migrations, and pragmatic production engineering skills.

Own and grow Armadin’s New York City enterprise territory, targeting major financial services, insurance, media, and Fortune 500 organizations. Drive full-cycle sales from outbound prospecting through negotiation and close, selling autonomous red-teaming solutions to CISOs and security leaders. Convert pilots into multi-year agreements, expand customer accounts, and help shape positioning, pricing, and sales processes in an early-stage environment.

Own the New England enterprise territory from Boston, selling complex cybersecurity solutions to security leaders across major industries. Manage full-cycle enterprise deals, build pipeline through outbound and executive networks, convert pilots into multi-year agreements, expand customer accounts, and help shape early-stage positioning, pricing, and sales processes.

Design, build, train, and deploy AI agents and machine learning systems for complex technical data. Develop context handling, indexing, search, and information retrieval workflows; integrate AI systems with enterprise platforms; and ship reliable production features. Collaborate with customers and engineers, prototype rapidly, influence architecture and product direction, and help establish engineering culture as an early engineering hire.

Design, build, and deploy production AI systems that process large volumes of unstructured healthcare records. Translate customer problems into technical solutions, develop retrieval-based pipelines and multi-agent workflows, integrate healthcare data standards, and own monitoring and optimization. Partner with customers, leadership, product, and safety teams while identifying opportunities to expand AI adoption.

Build and operate production AI agents that complete property-management workflows across voice, SMS, web chat, and email. Integrate agents with APIs and systems of record, implement guardrails for payments and tenant data, manage stateful workflows and human escalation, and improve reliability through evaluations, tracing, regression testing, and cost and latency monitoring. Partner cross-functionally to turn operational processes into safe, measurable agent capabilities.

Design and build production AI agent systems that orchestrate large language models, tools, and deterministic code. Develop evaluation suites, improve model behavior, diagnose production failures, and create feedback systems for training and evaluation. Extend browser and computer-use agents with strong safety, security, and auditability. The role requires end-to-end ownership, robust systems design, and on-site collaboration five days per week.

Embed AI solutions across legal and corporate affairs to remove workflow bottlenecks, build rapid prototypes for contract analysis and regulatory tracking, enforce data governance, and deliver executive reporting and KPIs to drive legal operations efficiency and risk mitigation.

Build and maintain AI-powered healthcare products for patient engagement, care coordination, and claims management. Develop full-stack software, APIs, backend services, automation pipelines, and LLM integrations using Claude Code. Apply software engineering, DevOps, and MLOps practices for testing, deployment, monitoring, security, and performance. Collaborate remotely with product, design, engineering, and clinical stakeholders in an Agile environment.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Evaluate emerging dual-use technologies for technical maturity, feasibility, scalability, integration risk, and commercial or government applications. Provide technical input to investment and accelerator decisions, advise on product direction and roadmaps, support technology transition, and participate in reviews with leadership, industry, government, and innovation partners. The role leverages operational perspective, technical judgment, field experience, and mission-driven problem-solving to connect technical capabilities with real-world applications.