Top Artificial Intelligence Jobs

Manage a personal injury pre-litigation docket from post-intake through settlement. Evaluate liability, coverage, damages, treatment, medical records, and claim value; approve demand packages; negotiate with adjusters; resolve liens and protect client distributions. Lead paralegals and assistants, communicate with clients and providers, identify cases requiring litigation, and develop as a personal injury attorney through mentorship and increasing responsibility.

Periodic Labs invites exceptional candidates to submit a general application for future opportunities at its AI and physical sciences laboratory. The team develops advanced models aimed at enabling novel scientific discoveries and values ownership, independent problem-solving, continuous learning, and interdisciplinary exploration.

Leads a personal injury litigation docket from filing through verdict, including case strategy, discovery, motion practice, depositions, mediations, settlement negotiations, and first-chair jury trials. Supervises litigation support staff, mentors junior attorneys, advises clients, and collaborates with firm leadership to improve litigation strategy and expand the Texas practice.

Lead a Dallas personal injury litigation docket from filing through verdict, including case strategy, discovery, motion practice, depositions, mediations, settlement negotiations, and first-chair jury trials. Supervise litigation support staff, mentor junior attorneys, advise clients, and collaborate with firm leadership on litigation strategy and growth.

Senior litigation attorney responsible for leading a Houston personal injury docket from filing through verdict. Duties include case strategy, first-chair jury trials, discovery, motion practice, depositions, mediations, settlement negotiations, client advocacy, team supervision, attorney mentoring, and collaboration with firm leadership. Requires Texas licensure, 8+ years of litigation experience, substantial personal injury experience, strong trial skills, strategic judgment, leadership, communication, and legal technology proficiency.

Manage a personal injury litigation docket from filing through resolution, including pleadings, discovery, depositions, motion practice, settlement negotiations, mediations, and jury trials. Develop liability and damages theories, collaborate with medical specialists and litigation support staff, direct paralegals, advise clients, and work alongside senior trial attorneys toward increasing courtroom responsibility. Requires Texas licensure, civil litigation experience, strong communication, organization, and commitment to injured clients.

Litigation Attorney managing a personal injury docket from filing through settlement or trial. Responsibilities include drafting pleadings and discovery, taking and defending depositions, arguing motions, valuing and negotiating cases, preparing for jury trials, directing litigation support staff, and advising clients. The role requires Texas licensure, civil litigation experience, strong courtroom skills, and a commitment to representing injured clients.

Lead a personal injury litigation docket from filing through verdict, including case strategy, discovery, motion practice, depositions, mediations, settlement negotiations, and first-chair jury trials. Supervise litigation support staff, mentor junior attorneys, advise clients, and collaborate with firm leadership on litigation strategy and growth. The role requires Texas licensure, substantial litigation experience, strong trial skills, leadership ability, and proficiency with legal technology.

Manage a personal injury litigation docket from filing through resolution, including pleadings, discovery, depositions, motion practice, settlement negotiations, mediations, and jury trials. Develop liability and damages theories, collaborate with medical and litigation support teams, lead paralegals and assistants, advise clients, and grow trial responsibilities under senior attorney mentorship.

Manage a personal injury litigation docket from filing through settlement or trial. Responsibilities include developing case theories, drafting pleadings and discovery, taking and defending depositions, arguing motions, valuing and negotiating claims, preparing for jury trials, advising clients, and directing litigation support staff. The attorney will work with senior trial lawyers, medical specialists, paralegals, and assistants while developing courtroom and first-chair trial experience.

Lead a high-volume personal injury pre-litigation docket from intake through settlement. Evaluate liability, coverage, damages, and case viability; direct treatment and demand strategy; negotiate settlements; resolve liens and approve distributions; supervise support staff; mentor attorneys; advocate for clients; and collaborate with firm leadership. The role is based onsite in Dallas and requires Texas licensure, substantial personal injury experience, strong settlement judgment, and familiarity with legal technology.

Build and operate scalable data pipelines, evaluation frameworks, and production AI/ML/NLP models. Own the full lifecycle from data collection and transformation through training, deployment, monitoring, and continuous improvement. Develop robust tooling, observability, and quality checks while collaborating with product and engineering to integrate AI capabilities into user-facing features. Work pragmatically in a fast-moving startup environment and translate business needs into effective data and machine learning solutions.

Lead design, development, deployment, and maintenance of responsible AI/ML solutions (including LLMs, generative models, chatbots, and agent orchestration) for provider-facing products. Provide technical leadership, mentor engineers, align solutions with enterprise AI strategy and compliance, integrate AI into cloud architectures, and ensure production reliability and operational excellence.

Design, build, and deploy end-to-end AI/ML solutions using LLMs, agentic and probabilistic methods. Scope problems, prototype, evaluate and benchmark models, integrate production APIs and cloud infrastructure, apply responsible AI practices, and communicate results to stakeholders while mentoring colleagues.

Designs, develops, debugs, and troubleshoots full-stack Java/Spring Boot microservices on AWS. Collaborates in Agile teams, applies CI/CD, works with Oracle and Kafka, uses enterprise AI-assisted coding tools, ensures secure, resilient, and scalable software, and contributes to engineering communities and best practices.

Build and optimize production-grade LLM and generative AI systems, including RAG pipelines, model fine-tuning, embedding search, evaluation, and scalable inference. Develop FastAPI services, integrate AI into production software, and improve latency, GPU utilization, reliability, and cost efficiency. Research emerging AI techniques, contribute to MLOps through model tracking and observability, and collaborate with clients and cross-functional teams.

Leads the Applied Technology service line, owning technical direction, delivery, staffing, P&L, customer relationships, and growth. The VP architects and delivers tailored solutions for national security and intelligence missions, combining proprietary, commercial, open-source, and purpose-built technologies. Responsibilities include building engineering teams, defining ambiguous requirements, managing technical risk and accreditation, supporting capture, integrating products, and institutionalizing scalable delivery practices. The role requires hands-on technical leadership, government customer engagement, and frequent domestic and international travel.

Sell AlphaSense’s Enterprise Intelligence solution to investment teams and C-suite leaders across hedge funds, private equity, asset management, and investment banking. Responsibilities include prospecting, qualifying opportunities, leading consultative sales processes, coordinating Sales, Product, Engineering, and Technical teams, managing stakeholder communications, developing trial plans, and creating strategies to close enterprise deals.

Leads business management for Microsoft’s US Financial Services organization, overseeing AI experimentation, budgeting, workforce planning, operating rhythms, strategic initiatives, communications, organizational health, and continuous improvement. The role connects strategy, resources, talent, financial performance, and execution while advising senior leaders, managing cross-functional programs, improving processes, and developing responsible AI adoption practices.

Performs technology-focused internal audits across cloud, AI, IAM, SDLC, vulnerability management, and infrastructure domains. Evaluates control design and operating effectiveness, develops audit documentation, conducts risk-based testing and data analysis, identifies findings, recommends remediation, and validates corrective actions. Partners with global stakeholders and presents audit results, emerging risks, and control enhancements to senior management and governance committees while managing multiple audits.

Leads enterprise AI and automation deployments from validated prototypes through secure, supported production. Owns the operating relationship between AI and IT, including governance, security, architecture standards, data access, vendor strategy, monitoring, support, and operational resilience. Manages technical teams, budgets, staffing, career development, and deployment across operating brands while evaluating emerging AI technologies and recommending practical business applications.

Leads global product management and design for custom-built and SaaS legal practice solutions. Defines product vision, roadmaps, requirements, UX strategy, user research, pilots, vendor relationships, and client-facing AI-enabled offerings. Manages multidisciplinary teams, budgets, stakeholder alignment, product lifecycle improvements, and adoption strategies across the firm.

Design, build, and maintain scalable data pipelines, warehouses/lakes, and platforms. Lead multidisciplinary teams to implement ETL/ELT (batch and streaming), optimize data lake performance, enforce data governance, and support analytics and ML use cases on cloud and on-prem environments.

The Senior Data Analyst transforms complex mortgage, financial, and operational data into actionable insights for the Mortgage Partnership Finance program. Responsibilities include portfolio and risk analysis, forecasting, dashboard and scorecard development, automated reporting, data validation, governance, and executive presentations. The role collaborates with Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations teams while mentoring junior analysts and interns.

Develop and prototype signal and image processing algorithms for sensor exploitation, applying classical and machine learning techniques to detection, tracking, pattern recognition, and false alarm mitigation. Collaborate with software engineers, refine algorithms using program data, design test suites, document results, and present findings to stakeholders. The role requires onsite work, an active Top Secret clearance, and experience with MATLAB and/or Python.