Top Artificial Intelligence Jobs

Leads solution development, technical discovery, proposal strategy, solution architecture, estimates, risk assessment, and proposal compliance. Manages the proposal-development process and Proposal Lead while coordinating executives, subject-matter experts, and partners. Supports new-logo growth, account expansion, competitive assessments, win strategies, customer engagement, partner development, and teaming negotiations. Ensures proposed commitments and assumptions transition effectively to program delivery teams.

Owns expense-side P&L analysis, budgeting, forecasting, variance analysis, headcount and workforce cost modeling, SaaS unit economics, and executive reporting. Partners with Accounting, HR, department leaders, and go-to-market teams while maintaining financial models in Excel and Workday Adaptive Planning. Supports monthly close, reconciliations, scenario analysis, and process improvements in a remote corporate finance environment.

Lead Counsel supporting APAC and Americas commercial and marketing teams. Responsibilities include negotiating complex sales, partnership, licensing, retail, distribution, e-commerce, and data-sharing agreements; advising on advertising, consumer protection, competition, privacy, and regulatory issues; developing scalable legal processes; managing outside counsel; and advising senior executives across multiple markets.

Manages go-to-market FP&A, including hardware revenue forecasting, reporting, variance analysis, and financial narrative development. Partners with marketing, commercial, supply chain, demand planning, accounting, finance systems, and data teams to support revenue strategy and executive decision-making. Leads forecasting model development, reporting processes, tool implementation, and monthly close activities while communicating insights to stakeholders at all organizational levels.

Lead the architecture, deployment, operation, security, automation, and optimization of AWS infrastructure for enterprise and semiconductor engineering workloads. Build Terraform-based infrastructure and CI/CD automation, manage reliability and incident response, implement governance and cost optimization, and support hybrid connectivity. Architect and operate HPC clusters, batch environments, and high-throughput shared storage, optimizing compute, networking, performance, resilience, and capacity for engineering teams.

Own technical strategy for mid-market and enterprise sales opportunities from discovery through close. Lead architecture discussions, product demonstrations, proof-of-value exercises, security reviews, integrations, and production-readiness evaluations. Analyze traffic and logs, design deployments across web, mobile, API, CDN, cloud, and hybrid environments, address technical objections, and translate customer feedback into product input. Mentor Solutions Engineers and create enablement content.

Own an AI agent product area end to end, from customer discovery and workflow definition through launch and production outcomes. Define agent permissions, approval rules, evaluations, quality thresholds, and MSP configuration. Partner closely with design and engineering, conduct weekly research with MSP customers and technicians, support pilots, prototype prompts and workflows, and prioritize improvements using metrics such as resolution rate, escalation accuracy, time saved, and customer satisfaction.

Lead product direction and execution for an open AI infrastructure platform. Partner with founders, engineers, technical leads, customers, and researchers to connect environments, evaluations, training, deployment, and traces into cohesive workflows. Define roadmaps, prototype solutions, write product specifications, guide design and implementation, and measure adoption and user success. The role requires deep experience building technical products, preferably in developer tools, AI infrastructure, or ML platforms, with useful expertise in training, inference, multi-agent systems, reinforcement learning, continual learning, or evaluations.

Owns the architecture, deployment, administration, security, optimization, and sustainment of production Red Hat OpenShift environments across cloud, on-premises, hybrid, and classified infrastructures. Serves as the senior escalation point for complex platform failures, leads root cause analysis, implements automation and GitOps practices, supports CI/CD integrations, maintains compliance and vulnerability remediation, advises customers and leadership, documents standards, and mentors engineering teams.

Develops, tests, deploys, and maintains software and containerized applications for mission-critical federal environmental data systems. Responsibilities include analyzing requirements, designing software, managing Kubernetes containers, establishing performance standards, monitoring systems, supporting configuration management, and maintaining related processes and documentation. The role requires collaboration with analysts, engineers, and programmers and includes CI/CD pipeline development, GitLab administration, Python and Bash scripting, and cloud infrastructure work.

Leads cyber operations for a federal CISA program, engaging senior government stakeholders, identifying mission and capability gaps, and aligning cyber defense functions. Directs cyber mission operations and solution SMEs, guides capability roadmaps and solution development, supports implementation of operational improvements, and contributes expertise to account pursuits. Requires extensive cybersecurity operations leadership across SecOps, SOC operations, incident response, threat intelligence, threat hunting, vulnerability management, and related cyber defense capabilities.

Leads enterprise integrated master schedule development, governance, maintenance, and adoption across programs. Performs critical-path and schedule-risk analysis, resource and capacity planning, baseline change control, and schedule performance tracking. Synthesizes cross-functional inputs from Production, Software, Engineering, and Mission Services, develops executive dashboards and reports, supports program leadership decisions, and improves scheduling processes, tools, standards, and training.

Lead mergers and acquisitions, strategic investments, joint ventures, and acqui-hires from initial structuring through closing and integration. Draft and negotiate transaction documents, manage diligence, advise on deal economics, and coordinate cross-functional integration. Support financings, equity administration, corporate governance, securities compliance, and entity management. Build scalable M&A processes and provide practical legal guidance to executives and business teams.

Own manufacturing finance activities including variance analysis, cost and margin reporting, budgeting, forecasting, standard costing, inventory valuation, financial modeling, and management reporting. Partner with Manufacturing, Operations, Supply Chain, Engineering, and Accounting to explain financial drivers, support decisions, improve processes, and deliver actionable insights. Mentor junior analysts and lead scenario analyses related to equipment, tooling, and capacity.

Develop and improve AI agents and machine learning models that identify financial opportunities in healthcare contracts, supply chain, pharmacy, and managed care data. Analyze complex datasets, automate manual workflows, build information extraction and agentic capabilities, and establish evaluation frameworks. Collaborate with engineering, product, value engineers, and healthcare subject-matter experts to translate research into scalable solutions with measurable financial impact.