Top Artificial Intelligence Jobs

Leads and scales commercial enablement for a 200-person B2B healthcare organization. Responsibilities include building the enablement team, owning sales onboarding and ramp, GTM readiness, certification, content governance, platform administration, coaching programs, and measurement tied to win rates, ramp velocity, and sales cycle performance. The role partners closely with sales, product marketing, clinical, product, and HR leaders while applying AI and conversation intelligence to improve commercial effectiveness.

Conducts protective intelligence monitoring, threat assessments, investigative research, and risk analysis involving personnel, executives, events, operations, assets, and reputation. Produces intelligence reports, alerts, executive briefings, and actionable assessments; supports executive protection, travel monitoring, special events, and critical incident response. Maintains intelligence records and case management systems while collaborating with security, investigations, crisis management, and business operations stakeholders.

Leads the Cyber Threat Intelligence function and a team of cyber threat analysts. Responsibilities include analyzing emerging threats, advising senior leaders, integrating internal telemetry with external intelligence, automating intelligence workflows, and partnering with security engineering, incident response, SIEM, SOAR, and EDR teams. The role also drives threat prioritization, attribution, collection, correlation, strategic planning, and development of cybersecurity talent.

Participate in a 24-month accelerated program developing supply chain expertise and customer account management skills. Build customer relationships, manage shipment execution from planning through delivery, use AI-enabled insights and data analytics to identify risks and improvements, support customer reviews, and collaborate with sales, pricing, operations, and capacity teams. The role includes structured training, mentorship, cross-functional rotations, and gradual ownership of customer accounts and growth opportunities.

Leads Lean Six Sigma strategy across sales, deployment, engineering, product, and marketing. Builds manufacturing improvement playbooks, diagnoses plant bottlenecks, supports customer pilots, validates AI-generated time studies, shapes product requirements, and represents the company as a manufacturing expert. The role requires hands-on factory transformation experience, customer-site workshops, cross-functional collaboration, and frequent travel.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.

Own post-implementation success for strategic audit and assurance customers. Drive product adoption, usage, and measurable value through success plans, business reviews, workflow guidance, and adoption of cloud and AI capabilities. Build trusted relationships with accounting firms, coordinate internal teams, identify risks and expansion opportunities, and communicate customer feedback to Product Management. The role requires substantial audit or assurance experience, professional accounting credentials, and strong consultative relationship-building skills.

Build production AI and optimization systems for logistics allocation and packing. Develop heuristics and exact methods, encode physical constraints, maintain data inputs, integrate outputs into routing and resupply workflows, and validate solutions for feasibility, performance, and explainability. The role requires strong Python or equivalent programming, operations research or applied mathematics expertise, and experience with packing, allocation, optimization, and large-scale operational systems. U.S. citizenship and ability to obtain a government security clearance are required.

Lead AI infrastructure projects, develop GenAI solutions, drive automation strategy, and collaborate with IT and business teams for implementation.

Leads and scales Lantern’s commercial enablement function for a 200-person commercial organization. Responsibilities include team building, sales onboarding and ramp, GTM readiness, certification, content governance, competitive enablement, platform ownership, AI adoption, and metrics connecting enablement investments to commercial outcomes. The role partners closely with sales, product marketing, clinical, product, HR, and commercial leadership in a high-growth B2B healthcare environment.

Designs and enhances data management and AI ecosystem tools, including digital twins, data frameworks, autonomy capabilities, and agentic AI workflows. Develops full-stack applications across web, desktop, embedded, and hosted platforms using modern software engineering and DevOps practices. Builds CI/CD and containerized deployments, integrates modeling and simulation systems, ensures robust testing and documentation, provides technical consultation, mentors colleagues, and contributes to technical publications.

Analyze and exploit GEOINT and supplementary data using advanced data science methods within GIS frameworks to support intelligence production. Develop approaches for intelligence questions, build dynamic geospatial web applications, and collaborate with scientists, engineers, and analysts. The role requires ArcGIS expertise, strong analytical and communication skills, and an active Top Secret clearance with SCI eligibility.

Build AI-powered finance applications using Databricks, Python, LLMs, and governed financial data. Develop tools for variance commentary, financial close checklists, reconciliation, FP&A, natural-language data exploration, and financial analysis. Partner with finance stakeholders, measure adoption and productivity gains, and maintain governance separating AI recommendations from financial controls. The role requires software engineering, finance process knowledge, and experience with Databricks, LLM applications, finance systems, and production-ready applications.

Leads AI strategy and ecosystem solutions for Fortune 500 clients, designing agentic workflows, multi-agent architectures, and AI-native storage solutions. Partners with executives and internal Product, Engineering, and GTM teams to translate business challenges into scalable technical blueprints. Evaluates LLM, RAG, and AI agent trends, develops ROI models and proof-of-concepts, and shapes enterprise platform strategy while building repeatable solutions and team capabilities.

Owns product value, viability, vision, strategy, roadmap, KPIs, and ROI for moderately complex AI-enabled products. Leads cross-functional teams, conducts user and market research, guides experimentation, and aligns product outcomes with business objectives. Uses agentic AI tools for research, prototyping, analysis, specification, testing, and compliance while establishing safeguards for hallucination, bias, drift, and responsible deployment.

Leads hands-on development of applied AI and software engineering solutions across architecture, coding, testing, deployment, and support. Designs GenAI applications, integrates LLMs, builds RAG pipelines, and applies agentic AI practices throughout the software lifecycle. Maintains technical standards, reviews code, mentors engineers, collaborates with product and customer teams, and delivers scalable cloud-native solutions using rapid experimentation and automated quality practices.

Lead the Applied AI Architect team and oversee customer engagements from pre-sales discovery through deployment and adoption. Develop team strategy, guide complex technical solutions, manage executive customer relationships, support generative AI and machine learning sales, and coordinate with Sales, Product, Engineering, Research, and Deployment to deliver measurable customer outcomes.

Evaluate AI model outputs, audit data and model behavior, identify edge cases and failure modes, apply and improve evaluation guidelines, communicate performance trends, participate in calibration discussions, and document actionable findings. The role requires native-level Tamil, strong English and writing skills, critical judgment, attention to detail, and familiarity with GenAI safety considerations. This is a full-time, one-year, 100% onsite contract position.

Six-month intern developing machine-learning tools for perovskite process development and quality control. Responsibilities include training transfer-learning computer vision models to detect device defects and building Gaussian Process surrogate models with Ax or BoTorch to optimize manufacturing recipes. The intern will create reproducible data pipelines, collaborate with an engineering mentor, potentially extend statistical process control capabilities, and present project outcomes to leadership.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Owns the analytics layer between curated enterprise data and business users. Builds governed Gold-layer data products, dimensional models, Power BI semantic models, standardized metrics, and reusable data assets. Implements Unity Catalog governance, metadata, lineage, security, quality monitoring, reconciliation, and deployment controls. Partners with analysts, business owners, IT, data stewards, and AI engineers to deliver trusted, documented data for self-service analytics and AI consumption.

Leads the design and delivery of business intelligence, reporting, dashboards, KPI scorecards, data models, and AI-enabled insights. Partners with stakeholders and IT to integrate, govern, and optimize enterprise data. Provides forecasting, trend analysis, automation, and self-service analytics while establishing reporting standards and governance. Manages reporting roadmaps, priorities, stakeholder communications, and solution delivery, and mentors analytics team members.

Review, score, and improve AI-generated responses across diverse topics; evaluate prompts and outputs; perform quality checks on other annotators’ work; provide feedback; and correct responses using natural language. This is a remote, part-time role requiring 20 hours weekly, native-level German, proficient English, reliable technology, and availability for initial training support.

Leads strategic partnerships with consumer health, wearable, longevity, concierge medicine, and physician-network organizations. Owns partnership sourcing, negotiation, lifecycle management, go-to-market strategy, preventive cardiology growth, cash-pay models, competitive positioning, and specialty sales oversight. Builds scalable partnership playbooks, sales capabilities, performance metrics, and commercial tools while coordinating with Legal, Regulatory, Medical Affairs, Marketing, Finance, and Customer Success.