Top Artificial Intelligence Jobs

Manage and grow major Fortune 1000 accounts across the DFW territory, exceed sales targets, develop new-logo opportunities, and expand Arista’s networking solutions. Use consultative selling to engage technical and executive stakeholders, build account plans, manage channel relationships, coordinate systems engineers and technology partners, position data center and cloud networking solutions, and conduct demand-generation activities.

Develop scalable full-stack and AI-powered solutions for regulatory, data, and analytics problems within BNY’s Finance Hub. Responsibilities include gathering requirements, designing and implementing software, collaborating with platform, data, and product teams, evaluating AI methodologies, translating business problems into algorithms, and documenting solution designs for enterprise adoption.

Leads a technical AI/ML engineering team while remaining hands-on in designing, developing, testing, and deploying software prototypes. Owns architecture, technical direction, planning, execution, risk management, customer communication, and delivery across R&D and funded projects. Conducts design and code reviews, mentors engineers, supports proposals, and translates mission needs into practical solutions for national security applications including air, space, and missile defense.

Leads a multidisciplinary team of automation and power-generation subject matter experts. Provides technical oversight for controls, generators, protection, telemetry, digital infrastructure, system integration, predictive analytics, and industrial networking. Establishes engineering standards, resolves complex technical issues, supports product development and commissioning, leads root-cause analysis, evaluates technologies, and develops SME capabilities across engineering, operations, manufacturing, and field teams.

Own end-to-end recruiting as Light Labs’ first dedicated recruiter. Source, assess, close, and build relationships with scientific, laboratory, and commercial talent. Establish recruiting processes, structured interviews, scorecards, referrals, employer branding, and offer strategy while maintaining high standards and fast execution. The role is based in Austin, Texas, with five days per week in the office and requires strong sourcing, communication, judgment, urgency, and entrepreneurial independence.

Serves as the technical expert for power generation automation, controls, telemetry, digital infrastructure, generator systems, and protection systems. Leads system integration, architecture standardization, complex troubleshooting, root cause analysis, commissioning, technical risk assessment, and lifecycle engineering. Supports predictive analytics, condition monitoring, AI-driven asset performance, remote connectivity, and cloud integration while collaborating with engineering, operations, manufacturing, product service, and field teams.

Own product features end to end, from researching freight agents’ workflows and defining solutions to designing interfaces, building APIs and data models, and shipping to production. The role requires full-stack development, strong product judgment, user research, rapid iteration, design-system ownership, and AI-first working practices. You will partner with product and engineering peers to build tools that make independent freight agents more effective.

Leads the data science platform and machine learning strategy, building data marts, predictive models, MLOps infrastructure, and analytics capabilities. Analyzes healthcare claims, clinical, workflow, and operational data to risk-stratify patients, assess clinical program impact, support dashboards, and improve patient and provider engagement. Collaborates with clinical, operations, finance, product, executive, and technology teams while serving as a trusted analytics expert for a business workstream.

Leads scientific methods and laboratory operations for automated experimental systems. Owns protocols, controls, acceptance criteria, workflow qualification, reproducibility, troubleshooting, staffing, documentation, safety, and performance improvement. Works hands-on with laboratory instruments while translating scientific requirements into engineering specifications. Partners with AI and robotics specialists to validate experiments, distinguish scientific failures from execution issues, and improve automated workflows for reliability, throughput, cost, and routine deployment.

Develop data science algorithms, analytic software, ETL pipelines, and predictive models using structured and unstructured data. Partner with clients to understand analytical needs, create data visualizations, integrate software solutions, and guide teammates. The role requires experience with Python or R, statistical and machine learning methods, version control, and data engineering workflows. Work may support intelligence and operations analysis and requires TS/SCI clearance.

Leads complex Property and Casualty actuarial consulting engagements, manages major client portfolios, develops executive relationships, drives business development, mentors teams, and expands practice impact. Delivers reserving, pricing, and capital modeling services while modernizing actuarial solutions through AI, automation, analytics, and programming. Oversees multiple priorities, influences diverse audiences, and supports strategic growth across the insurance ecosystem.

Lead product strategy, roadmaps, feature development, launches, and measurable outcomes for enterprise automotive technology products. Collaborate with engineering, design, marketing, sales, and customer success teams; gather customer feedback; analyze market and usage data; prioritize initiatives; manage cross-functional dependencies and risks; and mentor product managers.

Leads Tekion’s global AI workforce enablement and transformation program across approximately 3,000 employees. Responsibilities include designing AI training curricula, facilitating workshops, managing communities and hackathons, coordinating change management, developing workforce and job architecture frameworks, tracking adoption and skill gaps, coaching executives, and building AI agents to scale a lean team’s impact.

Commercial Counsel will lead drafting, review, and negotiation of complex SaaS, enterprise, data privacy, partnership, and other commercial agreements. The role partners with Sales, Finance, Product, Engineering, and Professional Services to accelerate deal execution, provide practical legal guidance, manage risk, and improve contracting processes. The counsel will also monitor legal and industry developments involving SaaS, AI, data privacy, and automotive technology.

Generates and qualifies leads through outbound outreach, manages sales pipelines and CRM activity, conducts product demonstrations, guides prospects through the sales process, builds customer relationships, meets quotas, and collaborates with marketing, product, and customer success teams. The role requires inside sales experience, SaaS or technology familiarity, strong communication and negotiation skills, CRM proficiency, and up to 20% travel.

Supports an enterprise logging and SIEM environment across cloud and on-premises systems. Responsibilities include architecting and implementing streaming ingestion, onboarding data sources, developing dashboards, tuning correlation rules and signatures, maintaining security data feeds, conducting gap analyses, supporting change control, and integrating machine learning and artificial intelligence. The role also provides dashboard assistance and responds to system outages and data-feed issues.

Support and enhance an enterprise logging and SIEM environment across cloud and on-premises systems. Responsibilities include architecture, implementation, data ingestion, system onboarding, dashboards, correlation rules, risk scoring, ML/AI integration, compliance, testing, change management, and troubleshooting security monitoring issues. The role requires an active TS/SCI clearance and experience in cybersecurity-related administration, engineering, or development.

Leads AXIS Capital’s Finance transformation strategy, roadmap, target operating model, governance, and benefits realization. Advises the CFO and Finance Leadership Team on modernization priorities, technology and analytics enablement, investment decisions, and capability development. Oversees major transformation programs, aligns senior stakeholders across Finance and enterprise functions, and drives adoption of standardized processes, tools, data, and controls. The role focuses on improving scalability, reporting, regulatory outcomes, efficiency, and Finance’s strategic business partnership.

Advises enterprise executives on AI transformation for contact center and customer service operations. Develops AI strategies, roadmaps, business cases, operating models, and value realization frameworks. Leads executive workshops and defines use cases involving virtual agents, agent copilots, analytics, automation, and agentic AI. Evaluates platforms and technologies, provides vendor-neutral recommendations, and partners with clients, vendors, and delivery teams to guide successful implementation.

Leads enterprise contract development for Regeneron's U.S. commercial customer segments, including drafting, negotiating, governing, and executing complex agreements. Translates contracting strategy into compliant terms, manages contractual risk, oversees templates and clause governance, advises leadership, and partners across Legal, Market Access, Pricing, Customer Engagement, and Operations. The role also drives process improvement, analytical tools, AI-enabled contracting capabilities, regulatory updates, and mentoring for the Contract Development function.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

Own cloud infrastructure, CI/CD pipelines, observability, incident response, recovery procedures, and reliability automation across applications and AI agents. The role uses Infrastructure as Code, scripting, monitoring, SLOs, and AI-assisted operations to improve platform resilience and reduce toil.

Build and maintain automated API, integration, and end-to-end tests for AI agents and critical workflows. Evaluate agent task completion, response quality, tool usage, permissions, and changes to models, prompts, and context. Integrate quality checks into CI/CD, convert production defects into regression tests, use AI to explore workflows and reproduce bugs, and share testing methods with AI and QA teams.

Build and deploy AI-powered products across the frontend, backend, APIs, databases, and model integrations. Own features end to end, design maintainable interfaces and data models, connect applications to LLMs and agents, use AI-assisted coding tools, write tests, review code, troubleshoot production systems, and mentor teammates.

Crafts strategic copy for email and scripted phone campaigns, develops call-center scripts and training materials, collaborates with strategists, designers, technology teams, clients, and legal reviewers, conducts creative testing and quality assurance, maintains brand voice, and uses AI to improve drafting and proofreading.