Top Artificial Intelligence Jobs

The Credit Workflow Strategist codifies leveraged finance workflows, advises institutional clients, maps credit analysis processes, and prototypes AI- and LLM-driven solutions. The role translates complex credit agreements, debt structures, and covenant analysis into tailored workflows, collaborates with product and engineering teams on platform enhancements, and scales domain expertise across Octus’s AI product suite.

Build and govern enterprise AI applications using Claude, retrieval-augmented generation, plug-ins, skills, and agentic workflows. Establish engineering standards, architecture, testing, evaluation, monitoring, security, and governance practices. Productionize prototypes, manage AI asset catalogs, optimize cost, latency, and reliability, and provide technical leadership through code reviews, mentoring, and cross-functional collaboration. The role also supports production incidents and partners with engineering, security, cloud, data, and business teams.

Build and ship governed, production-grade AI applications using Claude and other foundational models. Develop reusable skills, plug-ins, MCP connections, RAG workflows, embeddings, evaluations, monitoring, and enterprise integrations. Productionize prototypes, manage AI asset governance, enforce security and access controls, and provide production support. Collaborate with business, engineering, security, cloud, and data teams in a regulated environment.

Owns external-facing events from concept through onsite execution, including VIP, customer, third-party, and special events. Manages venues, vendors, agendas, registration, executive communications, branding, logistics, budgets, inventory, gifting, and onsite operations. Partners with Growth, Sales, Community, Developer Relations, Merchandising, and security teams to expand enterprise awareness and deliver high-quality customer experiences. Requires frequent travel, extended hours, and weekend work.

Leads enterprise AI strategy, governance, capability development, and high-value use-case delivery. Manages AI product managers and collaborates with business, engineering, data, and product leaders to scale responsible AI adoption. Evaluates emerging technologies, establishes cloud and MLOps best practices, advises executives, and drives measurable business impact across a complex healthcare organization.

Leads Yondr’s global cost estimating and benchmarking strategy for large-scale data center construction. Responsibilities include developing estimates from concept through construction documents, maintaining cost benchmarks, managing central estimating resources, analyzing project data, improving forecasting processes, supporting international projects, and presenting recommendations to senior leadership. The role partners with design, engineering, procurement, finance, and operations teams while exploring AI and machine learning to improve cost-efficiency and forecasting accuracy.

Provides data privacy and AI legal counseling to clients, including drafting privacy policies and data processing agreements, reviewing incident response plans, and assisting with breach response and notifications. Monitors state and federal privacy, AI, and cybersecurity regulations while conducting legal research and writing. The role requires strong interpersonal skills, attention to detail, initiative, CIPP certification, and active admission to a state bar or eligibility to waive in.

Provides data privacy and artificial intelligence legal counseling to clients, including drafting privacy policies and data processing agreements, advising on retention and cybersecurity regulations, and supporting incident response, breach notifications, and data breach matters. The role requires legal research and writing, monitoring evolving privacy and AI laws, and collaboration with clients and colleagues.

Own the digital product roadmap, backlog, user experience, success metrics, releases, and stakeholder alignment for Allstate’s customer acquisition platform. Partner with engineering, architecture, and data teams to identify, prototype, and deliver Generative AI use cases. Analyze product data and user feedback to guide decisions, improve outcomes, and support Agile delivery.

Provides data privacy and AI legal counseling to clients, including drafting privacy policies and data processing agreements, advising on data retention, incident response, breach notifications, and compliance with privacy, AI, and cybersecurity regulations. The role also requires legal research, writing, client interaction, and maintaining knowledge of evolving state and federal laws.

Leads an eight-person customer support team while remaining hands-on with escalated cases. Oversees queues, workload balancing, service levels, quality reviews, coaching, scorecards, and support procedures. Drives responsible AI adoption, tracks AI-related errors, ensures clinical review of drug and clinical information responses, and partners with AI Knowledge and Support Operations to improve support quality and representative performance.

Own the roadmap, discovery, delivery, governance, quality, and adoption of the firm’s data and AI platform. Translate investment, asset management, and finance needs into platform capabilities, specifications, metrics, acceptance criteria, and AI evaluations. Prototype with SQL and AI tools, coordinate engineers and vendors, validate releases, measure outcomes, maintain trusted data definitions, and communicate progress and risks to executives.

Provides expert financial counseling and assistance to hospital patients, assessing eligibility for Medicaid, charity care, and other programs. Prepares Good Faith Estimates, ensures compliance with CMS, HIPAA, No Surprises Act, and price transparency regulations, and documents cases in Meditech. Supports revenue cycle performance, trains staff, analyzes trends, improves processes, maintains quality metrics, and conducts community outreach.

Build and deploy practical AI solutions with business teams, including RAG pipelines, agentic AI systems, permission-aware retrieval, and internal knowledge tools. Lead employee training, workshops, and AI enablement resources while evaluating solution quality, monitoring adoption, and applying responsible AI governance. Translate business needs into measurable outcomes, document solutions, coordinate testing and support, and escalate technical or governance risks. The role is primarily on-site in Wixom, Michigan, with occasional manufacturing-area visits.

Leads MCG’s enterprise marketing strategy, brand positioning, demand generation, digital marketing, market intelligence, and commercial growth initiatives. Establishes the marketing operating model, governance, budget, performance metrics, and investment priorities. Partners with executive, sales, product, customer success, and revenue operations leaders to drive pipeline, acquisition, retention, and expansion. Oversees AI-enabled marketing transformation, marketing technology optimization, social media, organizational development, and external partnerships while building a high-performing marketing leadership team.

Build scalable, high-quality full-stack applications using Python, React, and AWS cloud services. Use AI-assisted agentic coding tools such as Claude Code or Cursor to accelerate development and improve engineering productivity. The role involves modern frontend development, cloud-based application development, scalable cloud-native architectures, and potentially integrating AI-powered tools and workflows into software development.

Leads enterprise AI Security and GenAI data protection, owning the AI Gateway from evaluation through deployment and ongoing operations. Designs controls for prompts, uploads, browser traffic, copilots, agents, and integrations; implements monitoring, coaching, redaction, quarantine, and blocking. Integrates telemetry with security and identity platforms, establishes governance and exception processes, measures effectiveness, supports audit readiness, and partners with business and technology teams to enable responsible AI adoption.

Leads Fortrea’s enterprise AI enablement strategy, governance, responsible AI practices, literacy programs, Agentic AI deployment framework, adoption initiatives, and organizational transformation. Establishes policies, operating models, guardrails, education programs, metrics, and executive oversight for secure and ethical AI use. Partners across technology, security, legal, compliance, HR, and business functions; manages vendors, budgets, investments, and a high-performing AI enablement team.

Leads technical strategy and hands-on delivery across data platforms, engineering, analytics, AI, machine learning, governance, and automation. Manages roadmaps, backlogs, technical programs, and internal data and AI products while coordinating teams, vendors, and stakeholders. Develops prototypes, analyses, integrations, dashboards, and automations; evaluates technical risks and performance; builds business cases; tracks KPIs and value realization; and supports budgets, investments, planning, and strategic priorities for the Data and AI organization.

Build and deploy AI-powered workflows, agents, automations, and internal tools across business teams. Partner with teams to redesign processes, integrate AI with enterprise systems, establish governance, access controls, evaluations, monitoring, and cost tracking. Evaluate AI tooling, create reusable enablement patterns, train employees, document solutions, and promote self-service agent development while ensuring secure, permission-aware operation.

Leads AI-enabled product transformation for Trusts and Estates Controls. Owns product vision, roadmap, discovery, requirements, delivery, governance, auditability, risk management, responsible AI adoption, and stakeholder alignment across Controls, Compliance, Legal, Operations, Technology, and Data/AI teams. Drives production deployment, adoption, change management, measurable control improvements, and productivity gains.

Supports product management through customer and market analysis, product metrics reporting, research, and data collection. Partners with product, engineering, data science, governance, and risk teams to define AI use cases, assess data readiness, establish controls, and support accountable AI delivery across the lifecycle.

Develop and support AI-enabled applications, integrations, automations, and production solutions using LLMs, RAG, machine learning, Microsoft Azure, APIs, and cloud-native services. Build prototypes and MVPs, evaluate solution performance, maintain code and CI/CD pipelines, troubleshoot issues, and support deployment and monitoring. Collaborate with security, legal, data, IT, and business stakeholders on responsible AI, governance, security, and compliance requirements.

Own and prioritize AI and data science product backlogs, translate stakeholder needs into technical requirements, and guide NLP, generative AI, and agentic AI prototypes into reliable production services. Responsibilities include product discovery, roadmap planning, user enablement, adoption measurement, exploratory data analysis, pipeline integration, and model validation. The role collaborates with data scientists, engineers, bioinformaticians, and scientific experts to support drug discovery and development.

Develop, train, test, and evaluate AI/ML models and supporting software for aerospace and defense applications. Research and implement technical approaches, design reproducible experiments, analyze performance, investigate failures, and translate mission objectives into AI/ML tasks. Build simulation environments, data-processing tools, and evaluation workflows; contribute to multi-agent autonomy projects; integrate components into software frameworks; and communicate technical findings to teammates, leads, and customers.