Top Artificial Intelligence Jobs

Serves as the definitive technical authority for a complex missile defense program. Leads multidisciplinary engineering teams through system design, development, integration, testing, and delivery while managing technical performance, cost, and schedule. Advises program leadership and interfaces with customers, executives, contractors, and suppliers. Resolves complex engineering issues, manages technical risks, mentors engineers, and promotes Agile, DevOps, AI/ML, cloud, and software engineering initiatives.

Analyze ticket sales, inventory, revenue performance, customer behavior, demand trends, and pricing outcomes for a major sports program. Manage ticket quotas and allocations, monitor primary and secondary market activity, produce commercial reports, and provide actionable pricing recommendations. Collaborate with client and ticketing teams, communicate insights to senior stakeholders, and manage competing priorities in a fast-paced, on-site environment.

Leads the vision, development, testing, maintenance, and continuous improvement of MMSC technologies. Translates business needs into technical requirements, manages user stories and use cases, coordinates internal and external developers, evaluates AI and machine learning opportunities, reduces system risk, tracks performance metrics, and supports process improvements and educational content. The role is hybrid, requiring four days in the office and one day remotely.

Leads complex, cross-functional technology programs across AI, software, robotics, vehicle hardware, infrastructure, simulation, data, and product. Owns project delivery, improves efficiency, manages risks and dependencies, aligns stakeholders, supports business goals, and drives continuous process improvement. The role requires strong technical understanding, systems thinking, communication, project management, and influence without authority across engineering teams.

Leads Citi’s global KYC process transformation, diagnosing workflows, redesigning standardized operating models, defining automation requirements, and embedding structured data architectures. Oversees process mining, RPA, AI enablement, change management, stakeholder alignment, regulatory compliance, KPI governance, and measurable productivity improvements across geographically dispersed teams and jurisdictions.

Manage enterprise customer relationships from onboarding through adoption, driving platform usage, account health, retention, and growth. Serve as a trusted advisor by understanding customer goals, conducting data-informed business reviews, recommending solutions, resolving issues proactively, and advocating for customers. Collaborate with internal teams, manage multiple client projects, identify process gaps, and develop technical and product expertise in a SaaS environment.

Owns ERP support and vendor relationships, including issue triage, SLA tracking, and Statement of Work management. Builds BI dashboards, defines reporting requirements, and implements practical AI-enabled workflow improvements. Partners with plant operations, finance, IT, engineering, and external integrators on production monitoring, equipment integrations, and data uploads. Maintains ERP documentation and prepares business cases, requirements, and readiness assessments for a future ERP upgrade or replacement.

Provide legal counsel on commercial transactions, including IT/SaaS, sponsorship, vendor, customer, licensing, and general contracts. Draft, review, and negotiate agreements; support due diligence and closing documents for investments and acquisitions; advise on AI-related transactions and legal-department AI implementation; and collaborate with compliance, technology, risk, operations, and business stakeholders.

Lead enterprise customer implementations for an AI-powered digital-twin platform. Develop account strategies, drive measurable customer value, manage complex technical workstreams, navigate executive stakeholders, and resolve high-pressure delivery challenges. Lead and mentor a team of technical contributors, ensure solution quality and efficiency, and build consensus across organizational levels. The role requires regular customer-site travel and a one-month headquarters immersion during onboarding.

Drive new-logo sales and revenue growth for Wonderlic’s talent assessment and employee development solutions. Identify and prospect target clients, build relationships with HR and recruiting decision-makers, manage opportunities through the full sales cycle, close new business, and transition customers to Customer Success. Maintain expertise in products, market trends, and competitive conditions while providing strategic insights. The role requires B2B SaaS and HR technology sales experience, quota achievement, pipeline generation, and experience selling to SMB, mid-market, and enterprise buyers.

Leads tax transformation initiatives by improving and standardizing tax processes, translating business needs into technical requirements, mapping workflows, implementing automation and AI solutions, and supporting project and change management. Partners with tax, IT, BI, and AI teams; evaluates vendors and technologies; facilitates workshops and training; and monitors adoption metrics. Requires individual or partnership tax engagement experience, supervisory experience, and strong knowledge of tax technology and project delivery.

Leads the evolution of Integrated Business Planning and commercial FP&A capabilities across DePuy Synthes. Responsibilities include forecasting, profitability and revenue planning, margin analysis, performance management, finance transformation roadmaps, planning technology enablement, governance, change management, executive decision support, and team leadership. The role partners with Finance, Commercial, Supply Chain, Operations, Technology, and Data & Analytics stakeholders to implement scalable planning processes and improve business performance.

Lead technical strategy for large enterprise accounts as Databricks’ primary technical voice. Partner with account executives and technical teams to drive data and AI transformation, product adoption, proofs of concept, and executive engagement. Build technical champions, align solutions to customer strategies, lead virtual teams, mentor colleagues, and demonstrate expertise in big data, data science, cloud, value selling, and production programming.

Leads a portfolio of robotics, autonomous systems, machine vision, and automated material handling programs across manufacturing operations. Responsibilities include technology evaluation, solution design, equipment integration, commissioning, qualification, startup, vendor and engineering-firm oversight, governance development, roadmap planning, stakeholder collaboration, and coaching engineers. The role drives scalable physical AI and automation solutions in regulated manufacturing environments and requires up to 50% domestic and international travel.

Develop new business among South Florida organizations by conducting daily account outreach, researching prospects, identifying AI and automation opportunities, presenting services, qualifying leads, scheduling discovery meetings, and managing client relationships. Maintain accurate HubSpot records, follow up persistently, build pipeline, and achieve collected-revenue quotas with support from AI consultants, engineers, and delivery teams.

Manage and administer Mission Assurance databases while ensuring data integrity, security, availability, and performance. Support data collection, normalization, governance, quality control, repository integration, stewardship, and analytical workflow sustainment. Integrate assessment data with mission mapping, risk management, and criticality analysis to identify trends, vulnerabilities, dependencies, and enterprise-level risks. Apply advanced analytical techniques, including artificial intelligence and machine learning, to support Air Force mission assurance activities.

Leads complex, multi-year digital product initiatives across business lines, aligning technology, design, legal, compliance, risk, and control stakeholders. Owns product strategy and roadmaps, integrates AI into discovery and delivery, translates regulatory and business requirements into phased plans, tracks measurable outcomes, manages product risks, and communicates strategy to senior leadership. The role requires financial-markets experience, global delivery expertise, regulated-industry transformation experience, and partner ecosystem management.

Leads central data strategy within Operations Risk and Regulatory Control by establishing governance routines, improving data quality and lineage, enabling automation and AI, and coordinating cross-functional delivery. Manages opportunity backlogs, standardizes reusable data patterns, oversees access controls and metrics, supports tool adoption and training, and communicates progress to stakeholders. The role requires strong operational risk, compliance, data management, project coordination, stakeholder engagement, and problem-solving expertise within financial services.

Leads Coca-Cola’s global RGM Portfolio Optimization product and digital product portfolio. Owns backlog prioritization, investment decisions, roadmap alignment, dependency management, governance, adoption, and value realization across markets and bottling partners. Drives capabilities for mix, SKU, assortment, pricing, margin, and scenario optimization while advancing analytics, AI, and agentic AI with appropriate guardrails. Partners with finance, engineering, data, product, and commercial leaders to deliver measurable outcomes and guide executive trade-offs in a complex matrixed environment.

Develop detection, classification, image analysis, and AI/ML algorithms for security screening systems. Build data analysis, testing, validation, and model improvement tools; research emerging machine learning and deep learning methods; and collaborate with engineering teams to transition concepts from research into production. The role also requires technical documentation, stakeholder communication, and contributions to aviation and homeland security technologies.

Leads Nokia’s strategic partner marketing agenda, focusing on AI, cloud, and connectivity partnerships. Develops joint go-to-market strategies, narratives, governance, and measurable growth plans with major ecosystem partners. Builds senior stakeholder relationships, aligns marketing with sales, product, strategy, and business teams, and leads a high-performing global partner marketing team.

Develop and manage social media, website, media relations, rapid-response, executive, and internal communications for the Mayor’s Office of Criminal Justice. Create videos, photography, written content, press materials, speeches, talking points, newsletters, and presentations. Translate complex policy and criminal justice issues into accessible stories, monitor emerging issues, and support public events and leadership communications.

Owns the AMERS datacenter portfolio strategy and program-management rhythm across design, procurement, construction, commissioning, networking, capacity, and operations. The role maintains trusted milestone, risk, dependency, and capacity reporting; coordinates cross-functional initiatives; improves templates, workflows, automation, and telemetry; and drives executive-ready decisions, schedule adherence, cost control, quality, and operational reliability across large-scale infrastructure programs.

Designs secure, scalable cloud-enabled architectures for AI-assisted modernization of legacy Marine Corps systems. Advises customers and technical teams, recommends AI/ML, data, cloud, and DevSecOps patterns, manages technical risks, and builds hybrid deterministic-agentic pipelines using LangChain and LlamaIndex. The role also fine-tunes large language models, integrates code-as-data techniques such as ASTs and control/data flow graphs, and develops production AI systems using Java, Python, APIs, and Databricks.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.