Top Artificial Intelligence Jobs

Build and deploy AI-enabled full-stack applications for financial and analytical users. Responsibilities include integrating LLM features, designing agent orchestration pipelines, developing Python APIs and React interfaces, maintaining ETL pipelines, implementing investment performance and risk calculations, and deploying containerized services with Kubernetes. The role requires practical experience launching customer-facing AI agent products, strong Python and LLM development skills, quantitative or fintech experience, and comfort working with ambiguous requirements.

Design and deliver production AI applications from concept through launch, including agent-based systems, retrieval, orchestration, tool integrations, and evaluation. Partner with product and design teams, build lean initial products, improve production readiness, and develop reusable components. The role requires strong communication, comfort with ambiguity, entrepreneurial initiative, and hands-on Python engineering experience deploying AI products used by real customers.

Build and operate AWS-based data platforms, Java/Spring Boot services, reliable data pipelines, and AI-powered applications. Responsibilities include data ingestion and modeling, predictive ML, generative AI and RAG with Bedrock and OpenSearch, production monitoring, security, CI/CD, infrastructure as code, and integrations with databases, POS, payment, and partner systems.

Develop and maintain complex software systems, including AI automation workflows, integrations, algorithms, and high-volume data-processing solutions. Build CI/CD pipelines, debug and enhance applications, develop database queries, implement monitoring, optimize performance, and execute software testing. The role also involves requirements analysis, documentation, system installation, quality control, and collaboration with engineering teams. Work is performed near Fort Meade, Maryland, and requires TS/SCI with a polygraph.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Advises communications and corporate affairs teams on adopting, governing, and scaling AI. Conducts qualitative research, synthesizes interviews and surveys, develops implementation roadmaps and case studies, and creates client presentations and memos. Supports webinars, executive briefings, training, change-management initiatives, and AI workflow experimentation while contributing to advisory product development and operational improvements.

Leads North American procurement strategy for GSK commercial business units, including sourcing, negotiations, supplier partnerships, risk mitigation, and cross-business initiatives. Aligns local needs with global procurement capabilities, supports new product commercialization, and advances AI-enabled procurement transformation. Oversees indirect procurement across marketing, sales, technology, content, media, data, and analytics categories while developing teams, managing performance, and delivering financial and strategic value.

Own the technical post-sale customer journey for an agentic AI platform, including workflow analysis, implementation planning, data readiness, AI workflow configuration, enterprise integrations, deployment, security approvals, rollout, adoption, and expansion. Partner with customers, founders, Product, and R&D to deliver measurable business value and evolve the company’s solutions delivery function.

Leads Multifamily’s data governance strategy, operating model, and execution. Drives data quality, metadata, lineage, stewardship, ownership, controls, and automation across data platforms and products. Partners with engineering, architecture, risk, privacy, compliance, audit, and regulatory teams to embed governance into the data lifecycle and support responsible AI adoption. Develops governance metrics, improves data trust and readiness, and influences senior stakeholders across the organization.

Drive complex mid-market sales by designing cloud data security solutions, identifying customer needs, leading proof-of-value engagements and technical demonstrations, and consulting with executive stakeholders. The role supports cross-functional sales teams, partners, and marketing events while serving as a technical contact. Required expertise includes cloud security, AWS or Azure, networking, databases, IAM, encryption, privacy, data regulations, and data retention.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Drive complex mid-market sales by designing cloud data security and data risk management solutions. Responsibilities include identifying client needs, architecting solutions, delivering proof-of-value engagements and technical demonstrations, consulting with executives, coordinating internal resources, supporting partners, and representing the company at marketing events.

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.