Top Artificial Intelligence Jobs

Own end-to-end product design for Okta’s AI agent identity and access management experiences. Design workflows for delegation, permissions, authorization, policy enforcement, and agent lifecycle management across security, IT, and AI personas. Develop novel interaction patterns, contribute to scalable design systems, conduct prototyping and research, incorporate AI into the design process, and present solutions to cross-functional partners and senior leadership.

Designs, develops, tests, deploys, and improves AI/ML models supporting business and national security mission requirements. Responsibilities include selecting datasets, performing statistical analysis, training and retraining models, integrating data pipelines, monitoring performance, applying testing protocols, and overseeing system integration. The role requires knowledge of model architecture, data engineering, infrastructure, governance, and ML libraries, with potential leadership of distributed teams and customer-facing AI initiatives.

Designs and owns data architecture, models, governance, security, and scalable solutions on modern data platforms. Translates business needs into technical designs, guides data engineers, enables AI use cases, leads stakeholder discussions, and identifies opportunities to expand the client engagement. The role is client-facing and requires local Indianapolis availability for onsite or hybrid work.

Design, build, deploy, and maintain AWS-based data and AI/ML infrastructure for enterprise agentic AI platforms. Develop data lake pipelines, observability systems, agent-enablement tooling, and production MLOps/LLMOps capabilities. Own features end-to-end, contribute to architecture and design decisions, optimize reliability, scalability, security, and cost, and collaborate with AWS Professional Services, client teams, and junior engineers.

Build and operate production infrastructure for entity-focused AI agents. Responsibilities include scheduled benchmarking and golden gates, scalable entity-agent pipelines, evidence adapters, replayable vendor stores, agent-platform deployment, review and batch tooling, rollback mechanisms, and comprehensive cost, quality, latency, and health instrumentation. The role partners with AI engineering, product, research, data, and platform teams to move prototypes into reliable, self-service production systems.

Own enterprise customers’ AI adoption roadmaps from deployment through expansion. Partner with executives, Product, Professional Services, Sales, Success, and partners to design solutions, coordinate delivery, resolve escalations, and drive measurable adoption, retention, and revenue outcomes. Advise on responsible AI, data governance, compliance, and operational excellence while using analytics to identify risks and optimize customer success.

Conduct generative AI research and develop purpose-built large language models for networking, security, data center, and observability applications. Lead pre-training and post-training initiatives, improve model capabilities for networking automation and human-computer interaction, collaborate with engineering teams to commercialize research, and publish findings in top-tier AI venues.

Leads a team of identity engineers responsible for a highly available PingFederate environment. Owns the SSO roadmap, zero-downtime upgrades, incident response, passwordless authentication modernization, OAuth/OIDC policies, and infrastructure-as-code deployments. Designs agentic AI workflows for anomaly detection and automated self-healing, while enforcing Terraform and GitOps standards across environments.

Leads multiple engineering teams building and scaling Databricks’ AI/BI Dashboard product and service platform. Responsibilities include hiring and developing engineers and managers, establishing processes, driving product strategy, making architecture decisions, managing technical debt, improving software quality and operability, and applying AI and LLM technologies to product experiences. The role requires extensive distributed systems, SaaS, team scaling, and engineering leadership experience.

Leads Indiana Tech’s institution-wide AI professional development strategy for faculty and staff. Oversees AI learning infrastructure, digital resources, workshops, assessments, analytics, recognition programs, and adoption initiatives. Partners with academic leadership, Human Resources, and Information Technology to embed AI competencies into onboarding and professional development. Monitors emerging AI trends, evaluates program effectiveness, supports grant reporting, and promotes ethical, secure, and responsible AI use across the university.

Advises County departments on responsible enterprise AI adoption, including readiness assessments, use-case prioritization, governance aligned with the NIST AI Risk Management Framework, proof-of-concept oversight, output validation, standards development, stakeholder workshops, training, documentation, and measuring adoption, value, and ROI.

Own renewals, commercial negotiations, upsell opportunities, and client retention for AI startup customers. Develop sales strategies and go-to-market playbooks for AI monetization and usage-based billing. Partner cross-functionally to address complex customer needs, engage founders and influencers, generate pipeline, and represent Stripe at industry events.

Owns the full AI transformation business lifecycle, from executive-level sales and pipeline development through engagement delivery, account growth, and commercial results. Leads executive briefings, AI integration workshops, prototypes, change management, technical scoping, and partner delivery. Builds trusted relationships with senior leaders, manages six to ten accounts, and applies AI and Prosci change-management expertise to redesign work and achieve measurable client outcomes.

Design, train, deploy, monitor, and optimize speech and NLP models for a voice-agent platform. Build MLOps pipelines, APIs, and inference services while developing Android and iOS applications that integrate AI, voice, real-time communication, and backend services. Create frontend prototypes and dashboards, conduct model experiments, evaluate vendors, optimize performance, document systems, and maintain engineering quality across collaborative teams.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Own cross-channel growth strategy for DTC and ecommerce clients across paid social, paid search, email, retention, CRO, SEO, and AIO. Manage client relationships, connect marketing performance to revenue, CAC, and LTV, forecast results, identify testing opportunities, and deliver recommendations proactively. Build AI workflows to reduce manual execution while maintaining critical thinking and strategic judgment. Drive retention, account growth, client satisfaction, and measurable business outcomes.

Develop algorithms, predictive models, quantitative analyses, and visualizations from structured and unstructured data. Analyze complex datasets, apply machine learning, AI, NLP, and text-mining techniques, and translate findings into actionable insights for clients across government and private-sector challenges.

Develop data science, machine learning, and generative AI solutions for marketing, customer, and product challenges. Responsibilities include acquiring and analyzing structured and unstructured data, building predictive models and LLM systems, deploying AI applications, optimizing prompts, supporting data engineering and DevOps, and delivering strategic insights. The consultant collaborates with client leadership, engineering, product, and analytics teams while communicating findings through presentations, dashboards, datasets, bots, and other tools.

Own the global vision, strategy, and roadmap for Stripe’s connected-account onboarding experiences. Lead cross-functional teams across engineering, design, risk, data science, and partner-facing functions to improve onboarding conversion through funnel analysis, user research, and experimentation. Translate regulatory and partner requirements into scalable API, platform, and user-interface experiences across geographies and business models, including AI-enabled and agentic onboarding capabilities.

Develop and manage corporate accounts under $500 million in revenue across an assigned territory. Prospect new customers, expand existing accounts, manage the full sales cycle, meet revenue targets, and sell legal technology and workflow solutions. Build account plans, engage C-level stakeholders, maintain Salesforce records and forecasts, conduct client meetings, and collaborate cross-functionally to tailor solutions and improve sales strategies.

Build and orchestrate AI automation workflows using n8n, LLMs, agentic frameworks, and MLflow. Develop intelligent agents, chatbots, semantic search systems, and AI dashboards using Python, Streamlit, OpenWebUI, vector databases, OpenAI, and Anthropic technologies. Integrate AI into business processes and data platforms while parsing documents and maintaining compliance, security, and ethical standards.

Leads enterprise AI transformation by developing intelligent agents and automation for Finance, HR, and other corporate functions. The role integrates AI with ERP, HRIS, financial, payroll, workflow, and business intelligence systems to monitor compliance, enforce processes, detect risks, automate activities, and deliver executive insights. Responsibilities include AI governance, security, privacy, auditability, cross-functional leadership, business impact measurement, organizational change, and building an AI-focused team.

Leads AI and machine learning strategy, projects, and teams across the full model lifecycle. Responsibilities include developing and deploying models, establishing governance and MLOps standards, evaluating emerging technologies, managing AI risks, mentoring technical staff, partnering with stakeholders, and reporting business impact and delivery progress to senior leadership.

Manage post-sales relationships with strategic customers, drive adoption and business outcomes, coordinate technology delivery projects, oversee customer issues and escalations, facilitate customer meetings and Quarterly Business Reviews, communicate customer needs internally, and track customer status and KPIs. The role supports financial institutions across North America and partners with technical, threat analysis, data science, product, and engineering teams.

Tenure-track Assistant Professor responsible for developing an atmospheric sciences research program, mentoring undergraduate and graduate students, teaching atmospheric science and physics courses, pursuing external funding, and overseeing observational infrastructure. Research opportunities include atmospheric instrumentation, cloud and aerosol microphysics, mountain meteorology, artificial intelligence applications, climate modeling, wildfire smoke, and atmospheric education.