Top Artificial Intelligence Jobs

Design, implement, and optimize AI-powered workflow automation solutions. Analyze business processes, document current and future states, gather requirements, integrate automation tools, support testing and deployment, monitor performance, and identify improvements. Collaborate with business and technical stakeholders, provide training and troubleshooting support, promote automation best practices, and contribute to digital transformation and innovation initiatives.

Owns AI product backlogs, priorities, requirements, user stories, and acceptance criteria. Translates business needs into technical solutions, coordinates stakeholders and delivery teams, supports Agile ceremonies and product releases, monitors adoption and performance, and drives continuous improvement. The role also identifies AI-driven business opportunities, supports responsible AI practices, and contributes to AI product strategy.

Tests and validates AI-powered products, machine learning models, and Generative AI applications. Designs test strategies, executes functional, regression, and user acceptance testing, validates model outputs, identifies defects, analyzes quality metrics, documents evidence, and supports compliance and release readiness. Collaborates with AI engineers, product managers, and business teams to improve testing methodologies, quality frameworks, and AI evaluation practices.

Serve as a technical advisor to enterprise customers, guiding Figma implementations involving APIs, identity systems, integrations, governance, and extensibility. Assess technical environments, reduce implementation risks, support design-to-code workflows, deliver workshops, and collaborate with sales, product, and customer teams. Build relationships with technical stakeholders and executives while identifying opportunities that drive adoption, renewals, expansion, and long-term account growth.

Leads AI/ML transformation and applied research across Global Research. Identifies high-value use cases, configures AI-enabled workflows, develops ML solutions, and embeds AI capabilities into products and instruments. Applies advanced methods including Bayesian optimization, surrogate modeling, generative modeling, and data-driven experimental design. Establishes adoption standards, mentors scientists and engineers, leads cross-functional initiatives, and supports training programs across international research sites.

Provides executive leadership for enterprise data and analytics strategy across clinical, operational, financial, quality, and population health domains. Leads data governance, stewardship, quality, AI and machine learning initiatives, analytics platforms, reporting, and data architecture partnerships. Builds and manages multidisciplinary analytics teams, promotes data literacy, ensures regulatory compliance, and delivers trusted insights for strategic and operational decisions.

Leads a multi-layered solution engineering organization serving major financial services accounts. Partners with sales leadership to achieve revenue and consumption targets, guides AI and cloud data platform transformations, supports complex enterprise sales cycles, and aligns product, engineering, marketing, and services teams. Develops executive relationships, presents technical solutions, recruits and mentors leaders, and drives consultative selling across banking, insurance, and capital markets.

Own and grow strategic commercial enterprise accounts, build executive relationships, develop account plans, pursue new opportunities, and lead complex technology solution sales. The role delivers networking, cloud, cybersecurity, collaboration, data, AI, and professional services solutions while coordinating internal teams and technology partners. Success includes achieving revenue and gross-profit objectives, maintaining a strong pipeline, expanding existing accounts, and generating at least $2 million in annual gross profit.

Supports digital fabrication laboratories, teaching, research, and interdisciplinary projects. Operates, maintains, troubleshoots, and improves CNC mills, laser cutters, 3D printers, robotic systems, scanners, and related equipment. Assists with Rhino and Grasshopper computational design workflows, robotics, Arduino, sensors, embedded electronics, physical computing, and emerging technologies. Provides technical guidance to students and faculty from concept development through fabrication and implementation.

The Director of FP&A leads budgeting, forecasting, financial modeling, performance reporting, and decision support for community solar and related business activities. The role analyzes portfolio economics, profitability, cash flow, and operational KPIs while partnering with executive and operational leaders. It also leads AI and analytics transformation across finance, including FP&A platform implementation, automated reporting, predictive forecasting, dashboards, data governance, and business intelligence. The position builds and develops a high-performing FP&A team.

Own strategic customer relationships and lead deployment of AI workflows into supplier operations. Map customer SOPs and data sources, identify high-ROI AI opportunities, translate needs into product and implementation requirements, drive adoption, partner with product/engineering, build playbooks, track value, and surface expansion opportunities across global teams.

Leads social analytics, listening, consumer intelligence, performance measurement, reporting automation, and data storytelling across paid, owned, earned, and influencer marketing. Develops measurement frameworks, dashboards, KPI structures, and actionable recommendations for clients and internal stakeholders. Partners with strategy, media, analytics, data, and technology teams to improve workflows and data quality, while exploring AI and emerging technologies to enhance insight generation.

Leads the design, development, governance, and enterprise adoption of secure Generative AI platforms and applications. Responsibilities include architecting RAG and agent-based solutions, developing APIs and reusable frameworks, establishing evaluation and prompt engineering standards, ensuring security and responsible AI practices, mentoring engineers, influencing architecture, and driving technical strategy across teams.

Leads enterprise-wide digital and strategic initiatives from planning through implementation. Develops program strategies, business cases, governance, metrics, and executive communications; partners with executives and cross-functional teams to deliver digitally enabled solutions using analytics, automation, and AI. Drives organizational change, stakeholder adoption, performance measurement, and growth strategies for digital services and revenue-generating solutions.

Evaluate and improve generative AI model responses for quality, safety, accuracy, and performance. Assist with debugging, optimization, data preparation, annotation, validation, and development of secure, scalable GenAI applications using AWS Bedrock and Anthropic Claude. Review and write Python and ReactJS code, maintain technical documentation, track tasks, attend meetings, and conduct research.

Leads development of cloud-native, AI-powered applications using Python, React.js, OpenAI APIs, Azure OpenAI Service, and Azure AI services. Designs backend services, REST APIs, responsive front ends, third-party integrations, and generative AI capabilities including prompt engineering, embeddings, vector search, and RAG. Responsible for testing, deployment, monitoring, optimization, and collaboration across application development initiatives.

Lead the architecture and delivery of enterprise generative AI solutions across document processing, language, vision, and agentic systems. Design Azure-based pipelines, RAG workflows, multi-agent solutions, integrations, and human-in-the-loop processes. Partner with stakeholders, lead engineering teams, and establish MLOps, governance, security, cost optimization, and responsible AI practices.

Execute AI use-case, vendor, model, agentic AI, and generative AI risk assessments; administer Credo AI workflows; develop governance processes, risk classifications, controls, and reporting; evaluate AI contracts; monitor regulatory frameworks; and advise governance committees while partnering with Legal, Cybersecurity, Procurement, Engineering, and business stakeholders.

Develop core libraries and tools for scalable agentic applications. Responsibilities include optimizing agent frameworks and harnesses, benchmarking performance, improving latency and cost, integrating RAG systems and vector databases, supporting GPU workflows, designing cross-language APIs, debugging runtime internals, and collaborating with open-source communities. The role also involves building evaluations, observability, middleware, guardrails, and other systems that improve agent quality, developer productivity, and deployment reliability.

Supports product strategy through market and competitor research, business and member data analysis, experimentation, AI exploration, and development of recommendations, presentations, dashboards, and business cases. Collaborates with product managers, strategists, analysts, marketing, operations, and digital experience teams on cross-functional initiatives. This is a 12-week summer internship for students pursuing a bachelor’s or master’s degree graduating December 2027 or later.

Twelve-week summer intern supporting product strategy and business analysis. Responsibilities include evaluating competitor products, identifying AI integration opportunities, analyzing processes and data, collaborating with stakeholders, developing recommendations and work breakdown structures, and presenting findings to leadership. The role offers mentorship and hands-on experience with technology solutions, strategic initiatives, and product improvements.

Supports research, analysis, prototyping, and evaluation of AI, machine learning, blockchain, stablecoin, digital asset, and payment technologies. Develops AI proof-of-concepts, scripts, prototypes, and test automation solutions; assesses emerging technologies; documents and presents recommendations; and collaborates with engineering, product, cybersecurity, business, and executive stakeholders.

Support cybersecurity standards governance by evaluating industry frameworks, improving security requirements, communicating proposed updates, researching security controls and emerging risks, and assisting with SharePoint Online migration and documentation management. The role also involves strategic planning, stakeholder collaboration, reporting, and recommendations addressing technologies such as artificial intelligence and post-quantum cryptography.

Supports Marketing Orchestration and Analytics by translating business needs into technical requirements and solution designs. Develops automation and AI solutions using marketing technology, analytics, and data tools to improve operational efficiency, member experience, and business outcomes. Collaborates with Marketing leadership and cross-functional stakeholders, establishes Martech best practices, delivers targeted solutions, and mentors team members on automation and AI enhancements.

Supports software engineering, AI, and data science projects in AWS. Assists with troubleshooting hardware, software, and network issues; system updates; installations; configurations; testing; employee technical support; documentation; and system logging. Collaborates with development and security teams while gaining mentorship and practical experience in IT support and administration.