Top Artificial Intelligence Jobs

Leads rapid design, prototyping, deployment, and operationalization of AI/ML proof-of-concepts for Intelligence Community missions. Builds GenAI, NLP, computer vision, and predictive analytics solutions; integrates MLOps pipelines into secure cloud and air-gapped environments; coordinates delivery across multiple programs; and presents demonstrations to senior stakeholders. Requires advanced software engineering, AI/ML frameworks, secure deployment experience, and an active Top Secret clearance with eligibility for TS/SCI.

Lead integration of AI into transportation products: prototype models, evaluate third-party tools, design fine-tuning/benchmarking strategies, oversee computer vision asset extraction, and apply AI to QA/QC with cross-functional teams to improve data integrity and product fit.

Build and ship production-grade AI features, including RAG pipelines, tool-augmented agents, and agentic workflows. Integrate AI capabilities into enterprise systems, contribute to evaluation, observability, guardrails, and outcome measurement, and maintain reusable technical patterns. Collaborate with stakeholders to ensure solutions fit real workflows, identify risks, complete bug fixes, document implementations, and support handover and capability-building.

Leads TD Securities’ first-line AI Governance function, overseeing AI use-case intake, risk assessment, approvals, monitoring, issue remediation, controls, and lifecycle oversight. Partners with Front Office, Technology, Risk, Compliance, Legal, Privacy, Cybersecurity, Audit, and enterprise AI stakeholders. Develops governance frameworks, standards, taxonomies, metrics, and reporting while supporting regulatory reviews, audits, and responsible AI adoption across capital markets.

Own Accord’s product roadmap, prioritize customer and business needs, coordinate engineering delivery, manage the Customer Success feedback loop, and track feature adoption after launch. The role also includes release coordination with product marketing, customer research, AI evaluations, data analysis, and cost modeling. As the company’s first Product Manager, this person will establish product-management practices and may grow into a more strategic leadership role.

Own portions of the AI product roadmap for Global Investment Banking, manage platform operations and vendors, evaluate AI features and use cases, and coordinate risk, compliance, legal, and technology reviews. Lead requirements, user acceptance testing, release readiness, training, adoption initiatives, workflow libraries, and value reporting. Provide hands-on expertise in prompts, agent workflows, responsible AI, platform performance, and practical AI applications while influencing cross-functional stakeholders.

Owns the prioritized backlog and day-to-day delivery for an Agile scrum team supporting Bank of America’s enterprise Document AI program. Translates business objectives into user stories and acceptance criteria, prioritizes scope, accepts completed work, manages stakeholders, removes ambiguity, and supports scalable AI capability adoption while ensuring quality, regulatory alignment, and delivery commitments.

Owns the post-sale lifecycle for enterprise SaaS customers, serving as a technical advisor across cloud architecture, semantic layers, AI analytics, integrations, adoption, and value realization. Leads executive sessions, QBRs, technical enablement, customer health monitoring, escalations, product feedback, renewals, and expansion efforts. Partners with Sales, Product, Engineering, and Support to drive measurable ROI, platform adoption, retention, and account growth.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions using Java, with exposure to React and AWS. Creates architecture and design artifacts, supports application resiliency and CI/CD, analyzes data to improve systems, and uses enterprise-authorized AI-assisted development tools while validating outputs for correctness, performance, and security.

Leads DTCC’s research and innovation portfolio, coordinating emerging technology adoption, Agile project delivery, stakeholder engagement, resource and budget tracking, KPI reporting, training, communications, and continuous improvement. The role partners with executives, technical teams, business groups, and external stakeholders to prioritize initiatives, manage risks, promote innovation, and deliver projects using modern approaches such as Agile Program Increment planning.

Build and lead Nooks’ GTM enablement function, including its operating system, onboarding, product training, sales skills programs, certifications, coaching, launch readiness, and performance measurement. Partner cross-functionally with Product, Marketing, RevOps, Sales, Customer Success, and executives to improve seller productivity and keep the revenue organization aligned with rapid product development. Build a high-performing enablement team suited to a fast-growing AI company.

Work with strategic enterprise customers to identify high-value AI opportunities, design and prototype AI-powered procurement solutions, demonstrate business value, and drive implementation, adoption, and measurable outcomes. The role combines customer workshops, solution architecture, stakeholder presentations, automation, and domain expertise across procurement, finance, and supply chain.

Own customer deployments from discovery through launch and ongoing success. Lead workflow discovery, requirements, testing, configuration, timelines, stakeholder communication, milestone reviews, escalations, and go-live support. Partner with engineers, product, sales, and customer success teams to translate complex operational processes into reliable AI-agent workflows. Support mid-market customers, coordinate larger deployments with senior team members, and help build scalable implementation processes.

Serve as a trusted technical advisor helping federal customers adopt Copilot Chat, Agents, and Microsoft 365 Copilot. Lead AI transformation, architectural design, prompt engineering, agent development, change management, and business value realization. Partner with technical and sales teams to identify growth opportunities, drive sustained usage, and share customer insights. The role requires U.S. citizenship verification, a Microsoft Cloud background check, and less than 25% travel.

Develop and evaluate machine learning algorithms for satellite recognition, tracking, sensor scheduling, anomaly detection, prediction, classification, clustering, and optimization. Perform exploratory data analysis, build scalable HPC pipelines, conduct space-related engineering analyses, validate external algorithms, collaborate with satellite and astrodynamics experts, and present technical findings to customers and stakeholders.

Supports IT Application Services initiatives involving business analysis, process improvement, data analytics, AI and automation use cases, testing, technology evaluation, and solution delivery. Interns gather requirements, analyze processes and data, prototype solutions with tools such as Copilot and Power Automate, develop recommendations, collaborate cross-functionally, and present findings to leadership. Assignments may support supply chain, commercial operations, or business functions, with structured mentorship and periodic travel.

Designs, develops, fine-tunes, evaluates, and deploys generative AI and LLM solutions for clients. Responsibilities include prompt engineering, RAG architecture, model selection, application development, MLOps integration, cloud deployment, evaluation, security, compliance, and responsible AI. The consultant collaborates with technical and nontechnical stakeholders, researches emerging AI methods, documents practices, and helps distinguish GenAI use cases from traditional NLP applications.

Own InstaLILY’s product marketing function as a solo leader. Define category positioning, product narratives, vertical messaging, competitive strategy, sales enablement, analyst relations, case studies, launches, and pricing input. Partner directly with founders, sales, engineers, and customers across construction, distribution, logistics, and healthcare. The role emphasizes exceptional writing, enterprise deal understanding, technical curiosity, AI-native workflows, and in-person work five days weekly in New York.

Provides senior systems engineering leadership for integrating AI/ML capabilities into MQ-9 unmanned aviation systems. Develops requirements, architectures, implementation strategies, roadmaps, trade studies, technical evaluations, and engineering analyses. Oversees AI/ML data management, model validation, integration, testing, and deployment while coordinating government, industry, and engineering stakeholders. Supports defense acquisition, fielding, sustainment, deficiency investigations, and executive-level technical decision-making within the NAVAIR program environment.

Own the vision, roadmap, architecture, delivery, adoption, and measurement of AI-powered GTM products that improve sales productivity. Partner with sellers, GTM leaders, engineering, data, security, and business systems teams to identify workflow friction, build integrations and automations, launch prototypes and scalable solutions, and establish governance. Measure seller time savings, workflow efficiency, deal progression, adoption, and business impact while ensuring secure, reliable, trusted AI experiences.

Develop and implement AI/ML algorithms across computer vision, natural language processing, time series, graph data, reinforcement learning, and large language models. Analyze large datasets, apply research publications, document technical solutions, and understand AWS-based training and deployment pipelines. Mentor team members and collaborate within interdisciplinary research teams.

Leads enterprise consumer insights and analytics to guide growth strategy, investment, innovation, portfolio decisions, category expansion, and M&A. Advises the CEO and executive leadership by integrating consumer behavior, marketplace, competitive, syndicated, transactional, and performance data. Builds predictive intelligence capabilities, monitors brand health, supports innovation and category entry, governs enterprise data ecosystems, and develops a high-performing consumer insights team.

Leads the Americas GSE and Tools portfolio strategy, business development, customer opportunity conversion, and commercial growth. Builds business cases, manages the product pipeline, supports high-level sales negotiations, develops vendor partnerships, and coordinates legal, engineering, procurement, and supply chain stakeholders. The role translates aircraft maintenance challenges into innovative GSE solutions, presents recommendations to senior leaders, and influences regional and global product strategy.

Own the full enterprise sales cycle for strategic commercial and national accounts, acquiring new logos and expanding multi-site partnerships. Lead complex, multi-stakeholder deals with owners, developers, retailers, and builders; develop ROI-based business cases; navigate executive relationships, procurement, and security reviews; and convert pilots into portfolio-wide rollouts. Maintain accurate forecasts and pipeline hygiene, collaborate cross-functionally on implementations, and provide market insights to shape PermitFlow’s enterprise go-to-market strategy.

Owns quota-bearing sales growth for application managed services and hybrid cloud solutions. Partners with account executives, architects, delivery, product, and marketing teams to identify opportunities, shape solution strategies, lead discovery and executive engagements, develop proposals and business cases, and close complex technology sales. Advises clients on application modernization, cloud, DevOps, managed services, and intelligent automation while providing market insight, forecasting, mentoring, and cross-functional sales leadership.