Top Artificial Intelligence Jobs

Own adoption and expansion of Hyro’s AI agents across strategic healthcare accounts. Serve as an embedded customer advisor, guide deployment strategies, translate requirements into implementation plans, deliver product demos and training, and build trust with stakeholders from frontline staff through executives. Collaborate with Product, Engineering, Sales, and Engagement teams while helping establish the company’s new forward-deployed function.

Own Avon AI’s US go-to-market motion, including enterprise prospecting, discovery, demos, pilots, negotiations, forecasting, and closing deals with regulated organizations. Build demand through outbound campaigns, events, webinars, partners, and resellers. Develop the sales process, messaging, qualification framework, and playbook while helping recruit the future US sales and marketing team. Collaborate closely with founders and product teams, translating customer and market feedback into product direction.

Lead the strategy, growth, commercialization, and transformation of Rockwell Automation’s FactoryTalk MES portfolio. Responsibilities include product and platform roadmap ownership, recurring revenue and profitability expansion, pricing and go-to-market strategy, customer and industry engagement, modernization programs, lifecycle management, and development of AI-ready, secure manufacturing capabilities. The role leads a product management team and collaborates across engineering, sales, customer success, security, and industry management.

The role includes advising on AI compliance, assessing regulatory risks, establishing governance, and collaborating with various teams on AI initiatives in Wealth Management.

Design, develop, optimize, deploy, and support foundational AI systems, including LLMs, agents, vector search, model evaluation, orchestration pipelines, and responsible AI controls. Lead cost-performance governance, technical design reviews, roadmap development, and optimization of model and hardware utilization. Mentor senior AI engineers while partnering with research, product, program, and engineering teams to deliver scalable production AI platforms.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establish enterprise AI architecture standards, optimize model performance and infrastructure costs, lead hybrid and multi-model orchestration, promote responsible AI, and mentor engineering teams while influencing technical strategy and research-to-production processes.

Lead full-stack software engineering initiatives and developer teams building distributed, cloud-native systems and developer experience platforms. Design architectures, implement high-reliability services, shape technology roadmaps, mentor engineers, and collaborate with product and architecture leaders. Work with Java, Python, front-end frameworks, APIs, databases, Docker, Kubernetes, cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establish enterprise AI architecture standards, optimize model performance and infrastructure costs, guide hybrid and multi-cloud strategies, and promote responsible AI practices. Lead technical direction, mentor engineering teams, collaborate with cross-functional stakeholders, and advance research techniques into production.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Build and lead full-stack software engineering projects using Java, Python, cloud platforms, microservices, databases, containers, and AI-enabled development tools. Provide technical leadership across Agile teams, define service architectures and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and deliver secure cloud-based solutions supporting enterprise and regulatory needs.

Conduct applied research on large language models, training optimization, and fine-tuning. Design, train, evaluate, validate, and deploy AI foundation models using PyTorch, AWS, Hugging Face, and Lightning. Lead research initiatives across data science, engineering, and product teams, translating advances into scalable production systems. Candidates should have advanced academic training and experience with large-scale deep learning, model optimization, self-supervised learning, robustness, explainability, or RLHF, plus a record of impactful research and publications.

Leads the strategy, governance, roadmap, and evolution of a global digital experience platform ecosystem. Oversees web platforms, analytics, tagging, consent management, localization, integrations, security, accessibility, vendors, and product launch enablement. Establishes reusable standards and operating models across markets, manages website portfolios and backlogs, evaluates AI-enabled capabilities, and partners with commercial, medical, technology, security, privacy, and agency stakeholders.

Own full-cycle recruiting for Engineering and Operations roles at a fast-growing healthcare AI startup. Partner with founders and hiring managers to define roles, source and close technical talent, optimize interview processes in Ashby, use AI tools to scale recruiting, and deliver an exceptional candidate experience through onsite hosting and office tours.

Lead enterprise portfolio management and change adoption for employee-impacting initiatives. The role establishes governance, prioritization, reporting, dependency and risk visibility, and coordinates technology, operations, communications, training, and executive stakeholders. It translates complex changes into actionable communications, identifies adoption barriers, supports implementation and reinforcement, and may eventually manage portfolio operations or initiative delivery staff. The role also applies AI to improve decision-making and operational efficiency with appropriate governance and oversight.

Own and run the monthly release program for Toast IQ: set platform-readiness standards, manage technical dependencies and risk, coordinate cross-functional go-to-market and naming, instrument launch health and reporting, and establish governance and rhythms that scale multi-team agent launches.

Lead public cloud platform engineering for AWS environments, guiding application teams through cloud adoption, production support, reliability improvements, incident resolution, automation, and performance optimization. Build resilient, secure platforms using AWS services, containers, Kubernetes, infrastructure-as-code, monitoring, and DevOps tools. Evaluate production readiness through resiliency testing and chaos engineering while collaborating cross-functionally and applying AI/LLM tools to diagnose infrastructure issues.

Own customer relationships and deployment journeys for physics AI solutions. Translate engineering challenges into product opportunities, guide onboarding and change management, coordinate delivery teams, support roadmap and sprint planning, track adoption and value, and identify expansion opportunities. Prepare proposals and support commercial contracting while collaborating with simulation, software, machine learning, and data science teams.

Leads the credit union’s non-lending Operations organization, including contact center, member services, branches, virtual branch, deposits, payments, and card services. Owns reliable daily performance, member and employee experience, controls, compliance, risk, resilience, and operating results. Drives process redesign, modernization, analytics, automation, organizational development, and cross-functional initiatives while developing leaders and future-ready capabilities.

Own product and feature launches, go-to-market communications, messaging, positioning, competitive battlecards, customer insights, content, and sales enablement for enterprise finance automation products. Coordinate with Product, Sales, Customer Success, and Demand Generation while translating complex AI capabilities into compelling messaging for finance buyers, including AP leaders and CFOs.

Develop and deploy applied AI and machine learning systems for customer-facing agents. Responsibilities include model fine-tuning, reinforcement learning, evaluation design, large-scale text and audio data work, post-training, voice AI, long-horizon optimization, and production deployment. The role translates customer and product challenges into ML problems and carries solutions from experimentation through measurable customer impact.

Owns company-wide communications strategy, internal communication platforms, rollout timelines, newsletters, leadership meetings, and executive messaging. Manages company initiatives from assignment through completion, tracks accountability, coordinates leadership offsites, and improves organizational processes. The role also applies AI technologies to optimize operations, supports change management, and partners with stakeholders across the organization.

Leads a technology and intellectual property transactions practice, negotiating complex commercial agreements and overseeing IP diligence for investments, acquisitions, divestitures, and spin-offs. Advises senior client stakeholders, develops transaction methodologies, recruits and mentors attorneys, and collaborates with engineers on legal automation and tooling. Requires extensive technology transactions experience, active bar membership, law firm and in-house backgrounds, and expertise in software licensing, cloud terms, data and AI provisions, open source, trade secrets, and IP representations.

Leads risk-based internal audits across North American businesses, covering governance, controls, accounting, reporting, procurement, contracts, projects, and capital expenditures. Presents findings and recommendations to senior leadership, monitors remediation, manages audit teams and external resources, supports risk assessment and audit planning, and improves audit methodologies through digitalization, analytics, AI, and machine learning.

Drive new business and revenue growth for employee benefits insurance by building qualified pipelines, converting prospects, meeting sales quotas, and expanding client relationships. Develop strategic growth plans using CRM, analytics, and AI tools; deliver consultative solutions and proposals; manage sales cadences, forecasting, competitive analysis, and cross-functional collaboration. Build external networks and identify upsell and cross-sell opportunities while maintaining disciplined deal progression.

Leads global accounting transformation initiatives to improve operating-model maturity, process standardization, automation, technology enablement, controls, and public-company readiness. Responsibilities include assessing current-state capabilities, redesigning accounting processes, managing project plans, implementing finance technology solutions, preparing for SEC-compliant reporting, and leading organizational change across functions and geographies.