Top Artificial Intelligence Jobs

Leads pre-sales professional services engagements, including scoping, proposals, quotes, statements of work, business cases, forecasting, and bookings. Partners with account executives, sales engineers, delivery teams, support, and resilience stakeholders to position services, conduct customer workshops, align scope with post-sale outcomes, and support larger deal closures. Requires expertise in change management, transformation, data protection, cloud, cyber resilience, and security. Travel is required up to 10%.

Designs, develops, deploys, and supports scalable AI applications, generative AI and agentic solutions, automation, and digital agents. The role covers the full AI lifecycle, enterprise AI platform operations, cloud-native engineering, monitoring, security, reliability, and continuous improvement. It leads technical workstreams, collaborates with business and technology teams, and mentors less experienced engineers.

Build and ship production LLM-powered coding tools, internal AI products, multi-agent systems, and agentic workflows. Develop tool-calling, API orchestration, structured output, evaluation, benchmarking, and scalable Python backend systems. Evaluate models based on performance and cost, collaborate across product, security, and engineering teams, and independently deliver AI systems end to end.

Own the organization’s information security and compliance program, including AWS and identity security, SOC 2, PCI-DSS, NIST CSF, vendor risk, incident response, and launch readiness. Lead AI governance, tool approval, AI development pipeline guardrails, and regulatory monitoring. Partner with engineering and product on secure integrations, APIs, platform architecture, and technology roadmaps while documenting policies and advising leadership.

Own the full enterprise sales cycle for Native’s cloud security platform across Boston and New York. Responsibilities include pipeline generation, prospecting, discovery, negotiation, closing strategic deals, developing customer and channel relationships, and collaborating with product and technical teams on pricing, positioning, and repeatable sales processes. The role requires independently building a territory and translating complex security products into compelling value for CISOs, security leaders, and compliance stakeholders.

Develop AI agents and secure MCP servers for IAM and enterprise applications. Build Python and Node.js backend services, REST APIs, and modern React or Vue.js interfaces. Integrate LLMs and generative AI into existing workflows while applying prompt engineering, tool integration, security, scalability, and performance best practices. Collaborate with engineering and product teams to deliver AI-powered enterprise solutions.

Found the company’s Generative AI capability, architecting and shipping the end-to-end GenAI platform, including data and context layers, model serving, agent frameworks, evaluation, guardrails, and observability. Leads a hands-on team of GenAI engineers, MLOps engineers, and applied scientists while deploying agentic systems across vehicle engineering, manufacturing, supply chain, software, and go-to-market functions. Builds proprietary AI infrastructure and partners with manufacturing and quality teams to apply AI in physical-world operations.

Design, build, deploy, monitor, and optimize production ML and LLM systems, including RAG pipelines, agentic workflows, fine-tuning, and embeddings. Own technical delivery from architecture through iteration, collaborate with client engineering and product teams, mentor junior ML engineers, and help establish internal technical standards and tooling.

Develop and deploy AI- and data-driven applications using Palantir AIP, Ontology, models, workflows, and custom widgets. Translate ambiguous mission requirements into prototypes, MVPs, and scalable production solutions while collaborating with users, analysts, product owners, engineers, and stakeholders. Integrate datasets, pipelines, APIs, models, and external systems; troubleshoot solutions; document architecture; conduct testing and demonstrations; and support deployment. The role requires an active TS/SCI clearance.

Manages the commercial and financial economics of large AI customer accounts, coordinating budgets, rental rates, capitalized costs, forecasts, approvals, and contractual commitments. Partners with Development, Delivery, Finance, Legal, and Commercial teams to protect investment returns, reduce execution risk, maintain accurate documentation, and provide executives with visibility into project economics, variances, and financial risks.

Provides strategic and operational leadership for core banking platforms, enterprise applications, automation, workflow, contact center, omnichannel communications, and responsible AI adoption. Leads application staff, technology roadmaps, projects, vendors, governance, security, reliability, incident resolution, disaster recovery, and continuous improvement. Partners with business, risk, security, compliance, and legal teams to deliver secure, stable, efficient technology solutions and improve member and employee experiences.

Leads a team of Technical Solutions Consultants supporting strategic sales pursuits for Honeywell’s industrial automation portfolio. Develops sales strategies, guides solution architecture and technical positioning, supports executive customer engagements, improves win rates and margins, manages resources and business metrics, and partners cross-functionally on product roadmaps and commercialization. Also oversees recruiting, coaching, succession planning, and team development.

Leads enterprise-wide, risk-based internal audit strategy and coverage across cybersecurity and core technology domains, including cloud, infrastructure, engineering, software delivery, operations, resilience, and third parties. Oversees audit quality, regulatory examinations, remediation, continuous monitoring, analytics, and AI-enabled auditing. Builds specialized capabilities, leads geographically dispersed teams, partners with executives and regulators, communicates risk insights to senior management and the Board, and develops a high-performance risk culture.

Leads Gartner thought leadership and advisory research on supply chain AI strategy, governance, risk, and value realization. Develops actionable insights, analyzes market trends, advises executive clients, communicates AI investment ROI, presents at conferences and client briefings, supports sales, reviews content, improves research processes, and mentors analysts. Requires deep supply chain and AI expertise, strong research, writing, analytical, presentation, and executive communication skills, plus willingness to travel up to 25%.

The Executive Vice President leads Thread’s enterprise back-office strategy and operations across finance, HR, technology, data, risk, compliance, facilities, governance, and administration. The role advises the CEO and Board, translates strategy into operating plans, strengthens organizational systems, oversees resource allocation and enterprise risk, and develops senior functional leaders. The EVP is responsible for scalable infrastructure, organizational health, financial stewardship, data-informed decision-making, compliance, continuity planning, and coordinated execution during organizational growth and change.

Develop and deploy AI-enabled computational methods for small-molecule hit and lead generation. Responsibilities include selecting and optimizing machine learning, deep learning, cheminformatics, molecular generation, affinity prediction, pharmacological property prediction, and retrosynthetic analysis workflows. The scientist collaborates with medicinal chemistry, structural biology, biochemistry, and computational teams to define project criteria, communicate methodology, and support early-stage drug discovery campaigns.

Leads complex and strategic client accounts as a trusted advisor, driving satisfaction, retention, renewals, and growth. Analyzes claims, utilization, financial, and reporting data to recommend cost-containment and plan-performance improvements. Coordinates internal teams, carriers, vendors, and partners to resolve escalated issues, oversees account deliverables, and provides guidance to Account Executives. Advises clients on self-funded health plans, TPA operations, market trends, and regulatory developments while leveraging reporting, AI, and automation tools.

Leads AI-enabled manufacturing optimization across production facilities by analyzing machine, downtime, scrap, and production data. Develops monitoring dashboards, alerts, predictive maintenance tools, troubleshooting guidance, and operational KPIs. Partners with operations, maintenance, engineering, and leadership teams to improve OEE, throughput, uptime, quality, and efficiency. Supports IoT data collection, machine analytics, process improvements, and implementation across facilities, with travel as needed.

Design, prototype, deploy, and integrate generative and predictive AI solutions for U.S. government customers. Develop agentic workflows, fine-tune LLMs, build customer-facing interfaces, research emerging AI capabilities, and translate technical concepts for customers and subject matter experts. Support pre-sales efforts and create both rapid proofs of concept and scalable long-term implementations.

Build and manage revenue pipelines for Long Lake-owned service businesses. Responsibilities include creating outbound sales motions, developing target lists and messaging, conducting multichannel outreach, identifying decision-makers, closing deals, forecasting pipeline, and using AI tools to automate research, lead generation, and follow-up. The role may also involve opening new sales channels, training or hiring salespeople, and shaping platform improvements that increase sales efficiency across business units.

Lead launch and sustaining product marketing for large language and world models. Develop positioning, messaging, go-to-market plans, technical content, campaigns, and adoption programs. Translate AI research, benchmarks, architectures, and capabilities into accessible stories for researchers, developers, enterprises, partners, and media. Coordinate cross-functional launches, support communications and executive visibility, track competitive developments, and measure awareness, engagement, and adoption.

Leads a team of Technical Solutions Consultants supporting strategic sales pursuits for industrial automation and software solutions. Responsibilities include technical sales strategy, solution architecture, customer and executive engagement, proposal governance, resource planning, pipeline and forecast management, talent development, and cross-functional collaboration. The role requires strong industrial technology expertise, AI/ML experience, leadership capability, and up to 50% travel.

Leads enterprise technology strategy, portfolio and investment governance, value management, TBM, architecture oversight, and operating-model transformation. Establishes frameworks connecting technology spending, capacity, roadmaps, and business outcomes. Oversees the Enterprise Portfolio Office, Value Management Office, portfolio platforms, business cases, benefits realization, and investment analytics. Advises executives, drives cross-functional alignment, and leads organizational change toward product-, platform-, and value-stream-based funding and governance models.

Leads complex, cross-functional supplier quality and IT programs across the global supply chain. Owns IT solution lifecycles, including requirements, development, deployment, training, adoption, and continuous improvement. Manages AI-enabled automation, predictive analytics, knowledge management, and SPC monitoring initiatives. Develops project plans, schedules, metrics, dashboards, and business processes while resolving risks and influencing stakeholders across organizational boundaries.

Refine autonomous AI-agent workflows for MGA BDX data profiling. Analyze insurance data to identify quality issues, anomalies, missing fields, duplicates, structural variations, and business-rule exceptions. Define profiling plans, validation logic, metrics, and review processes; improve prompts, agent behavior, and human-in-the-loop controls. Collaborate with data consumers, onboarding teams, engineers, and enterprise stakeholders to produce clear, traceable outputs for BDX platform and data hub onboarding.