Top Artificial Intelligence Jobs

Lead enterprise AI and automation strategy, governance, and delivery in a Microsoft-first environment. Define roadmap, manage intake and budget, establish secure architectures and guardrails, drive workforce enablement, and lead cross-functional teams to realize ROI and operational efficiency.

Design and deploy AI-assisted workflows and agents to automate territory design, account assignment, quota modeling, and headcount tracking. Replace spreadsheet-based planning with scalable code, automated data pipelines, and AI-prompt workflows. Build integrations between Salesforce, SQL databases, and Databricks to enable real-time GTM planning and execution.

Lead multi-quarter AI platform programs across compute, storage, utilization, vendor partnerships, researcher support, and evaluation infrastructure. Coordinate cross-functional teams, define metrics and roadmaps, drive governance and adoption, and deliver measurable improvements in capacity, cost, observability, and researcher experience.

Design and deliver derivatives hedging and financing solutions by building pricing, risk, and scenario models; develop data pipelines and analytics platforms; create AI-driven agentic workflows and knowledge tools; integrate AI with internal systems for real-time analytics; support front-office OTC derivatives, client pitches, and proprietary platform development.

Lead Lab-in-the-Loop data science for hit finding by developing in silico strategies (cheminformatics, generative AI, agentic workflows), building scalable data pipelines, and partnering with experimental and computational teams to accelerate early drug discovery.

Lead enterprise transformation engagements by diagnosing workflows, redesigning operating models, and building AI-powered prototypes that demonstrate value. Drive adoption through change management, measurement frameworks, and enablement. Work embedded with client teams to scope and ship fast proofs of concept using LLM APIs, low/no-code tools, and enterprise marketing technology. Contribute reusable frameworks and support complex scoping across services.

Lead end-to-end design and delivery of AI-powered creative operating models inside enterprise clients. Map workflows, diagnose bottlenecks, design governance, integrate creative AI platforms into existing stacks, embed pipelines in client teams, train staff, measure outcomes, and scale reusable methods while managing C-suite stakeholders and commercial strategy.

Lead executive-level, multi-workstream transformation engagements that design target operating models, governance, measurement, and investment frameworks. Use AI fluency and prototypes to align stakeholders, embed teams with clients to ship solutions, build reusable IP, and drive measurable change in operations.

Lead end-to-end redesign and implementation of AI-powered creative workflows embedded inside client teams. Map workflows, diagnose friction, configure creative AI platforms, wire pipelines into existing stacks, build prompt and agent workflows, establish governance, deliver working proofs in production, train client teams, and transfer ownership.

The Developer Relationship Manager advocates for Sabre's Agentic AI APIs, guides startups on integrating AI with travel solutions, and builds prototypes while providing product feedback to influence development.

The role involves leading change management initiatives, developing strategies for organizational transformation, and ensuring adoption of new technologies and processes across the enterprise.

Work directly with senior leadership to evaluate reinsurance, MGA, and program business deals. Convert broker submissions into decision-ready packages, build and audit financial models, draft deal memos and diligence requests, manage pipeline and document flow, support contract and program buildout, and use AI tools to accelerate analysis while verifying outputs against source documents.

Lead and manage AI and business-systems transformation initiatives: evaluate processes, recommend and implement AI, ERP/CRM/BI and automation solutions, run system implementations, integrate enterprise systems, analyze metrics, drive user adoption, provide training and change management, and ensure data security and vendor management.

Lead development and delivery of AI-powered features for digital and wealth management. Own product roadmap, translate business needs into product requirements, partner with engineering and data science on model development and deployment, measure product performance, ensure compliance in a regulated environment, conduct customer discovery, and support go-to-market and stakeholder communication.

Lead delivery of GenAI, predictive modeling, semantic search, and automation across business workflows. Define AI product roadmaps and requirements, coordinate engineering and data science teams, ensure MLOps/cloud deployments, manage stakeholder change and training, and ensure compliance with responsible AI governance and ISO 42001 audit readiness.

Lead and build the AI Quality & Governance platform: observability, evaluations, guardrails, SLOs, and incident playbooks. Design automated and human-in-the-loop evaluation pipelines, enforce release gates, translate governance frameworks into engineering controls, partner with product teams on AI incidents, and hire and grow a hands-on engineering team while contributing substantial production code.

Lead a global AI Adoption team to drive enterprise-wide AI fluency and sustained usage. Own education, certification, cohort-based rollouts, Champions network, Copilot enablement, self-service resources, and adoption metrics; partner with Platforms, Navigators, and Accelerators to translate AI capability into measurable behavior change across thousands of users.

Embed with client teams to map and redesign creative workflows, build and deploy AI-powered pipelines integrated with DAMs/CMS/marketing stacks, create proofs of concept, establish governance, and train teams to adopt scalable content production automation.

Design and implement AI solutions to address clients' needs while adhering to ethical standards; requires experience in AI tech and cloud environments.

The Senior Performance Marketing Specialist will leverage AI for sales enablement, streamline workflows, and improve marketing efficiency, focusing on cross-functional collaboration and content development.

Lead design, development, and production deployment of enterprise AI agents and LLM-powered tooling to automate engineering workflows. Define technical vision, set standards, mentor engineers, partner with stakeholders, and ensure reliability, observability, and scalability of agentic systems.

Lead sales and deployment of custom AI/ML solutions, driving pipeline and revenue for allocated accounts. Collaborate with Field Sales, Product, Sales Engineering and AI teams to discover requirements, architect agentic AI solutions, write SOWs, negotiate commercial terms, and manage complex sales cycles to ensure customer adoption and measurable business outcomes.

Drive LLM training and inference efficiency by profiling, benchmarking, and optimizing GPU kernels and deep learning systems. Implement latency and resource-use reductions, scale system performance, contribute to agentic frameworks, and publish open-source innovations and research.

Build and operate end-to-end AI-native full-stack features across a React/TypeScript dashboard, embeddable JavaScript SDK, and Elixir/Phoenix real-time backend. Implement LLM-driven personalization and streaming experiences, optimize performance and reliability, work spec-driven with agent-assisted tooling, and contribute to agentic developer infrastructure and architectural reviews.

Lead and grow a software engineering team while delivering secure, scalable software. Drive execution, mentor engineers, manage vendor integrations, implement toolchains, monitoring, automation, and support production applications. Participate in technology evaluation, cross-team consistency, and learning activities.