Top Artificial Intelligence Jobs

Design and deploy LLM-driven agent applications that automate complex, document-heavy financial processes. Own the full AI product lifecycle, including prototyping, evaluation, release, monitoring, and continuous improvement. Collaborate with founders and subject-matter experts to identify workflow weaknesses, improve agent context and design, and create intuitive user experiences. Translate ambiguous problems into measurable production solutions and influence the product roadmap through hands-on applied AI work.

Own the machine learning layer of a production software product, including AI feature design, model integration, data pipelines, evaluation tooling, testing, deployment, performance optimization, and monitoring. Diagnose whether issues originate in models, data, or user experience, and make foundational architecture decisions while releasing improvements weekly.

Owns the strategy, roadmap, prioritization, governance, delivery, adoption, and continuous improvement of AI-enabled products and automation across enterprise platforms. Partners with business, technical, security, data, legal, and compliance teams to identify use cases, define requirements, manage backlogs, measure outcomes, ensure responsible AI practices, and drive scalable implementations.

Leads business origination and revenue growth for Grant Thornton’s Business Process Outsourcing solution. Builds executive relationships, identifies and qualifies prospects, develops pipeline, leads pursuits, structures pricing, negotiates multi-year outsourcing programs, and coordinates cross-functional advisory experts. The role promotes outsourcing, shared services, technology modernization, automation, and AI solutions while maintaining CRM discipline and market visibility through events and thought leadership. Travel is approximately 25%, with hybrid in-person attendance required at least three days weekly.

Leads Cyber & Risk business growth through daily prospecting, executive relationship development, complex solution selling, account strategy, pursuit leadership, pricing, and negotiation. Designs integrated advisory solutions spanning cybersecurity, privacy, compliance, internal audit, controls, and forensics. Partners with cross-functional leaders to build proposals, manage executive-level sales presentations, activate market presence, and secure multi-year programs. Requires 10+ years of advisory or consulting sales experience and travel up to 25%.

Leads risk advisory engagements for not-for-profit and higher education clients. Assesses risks, internal controls, compliance, enterprise risk management, and audit functions; develops improvement recommendations; manages projects, budgets, quality reviews, and client relationships; supports business development and sales; mentors team members; and applies AI, analytics, and automation to client services.

Leads enterprise technology due diligence and execution support for private equity and strategic transactions. Assesses applications, infrastructure, cloud platforms, data, operating models, cybersecurity, costs, and AI readiness. Develops technology findings and recommendations tied to business value, execution risk, and investment theses. Supports integration and separation planning, cloud modernization, proposals, budgeting, methodology development, and client delivery while collaborating with financial, cyber, strategy, and transformation teams.

The Legal Technology and AI Attorney applies restructuring expertise to identify, evaluate, and implement AI-enabled tools, automation, knowledge resources, and technology-supported workflows. The role develops templates, playbooks, guidance, and practice-support systems; pilots emerging technologies; trains attorneys and staff; and collaborates with legal, technology, research, and administrative teams to improve efficiency, consistency, and scalability in restructuring matters.

Develop and maintain full-stack applications using Java, Spring Boot, React, and TypeScript. Build REST APIs, microservices, cloud-native solutions, and generative AI capabilities involving LLMs, RAG, and AI agents. Participate in the full software development lifecycle, including testing, deployment, monitoring, and production support. Collaborate with cross-functional teams while following secure coding, DevOps, CI/CD, cloud operations, risk, compliance, and AI governance standards.

Supports litigation teams by evaluating, configuring, and implementing AI and legal technology workflows. Develops prompts, AI-assisted research and drafting processes, litigation analytics solutions, governance frameworks, training materials, and best practices. Collaborates with attorneys, IT, Information Security, and Knowledge Management to improve document analysis, legal research, case preparation, and technology adoption.

Attorney supporting the intersection of technology, AI, and legal practice. Responsibilities include identifying AI and automation opportunities, evaluating and implementing legal technology tools, designing workflows, maintaining knowledge assets, analyzing legal work product, training attorneys and staff, and advising Tech & Innovation lawyers. The role requires at least four years of technology-focused legal experience, bar admission, strong communication skills, and an interest in workflow design, tool development, or process improvement.

Assistant Professor of Business Analytics responsible for designing and leading a new undergraduate program, teaching business analytics courses, advising students, conducting scholarly research, serving the university community, and engaging with professional associations. The role requires expertise in data collection, databases, statistical analysis, machine learning, data visualization, enterprise resource planning, and AI in business. Applicants must support Calvin University’s Christian educational mission and demonstrate commitment to diversity and inclusive communication.

Leads the School of Engineering and Computer Science’s academic, strategic, operational, financial, and external development. Responsibilities include faculty and staff leadership, program innovation, accreditation, fundraising, industry and alumni partnerships, enrollment growth, student success, facilities planning, budgeting, and launching a Center for Faith and Technology. The Dean serves as the School’s chief ambassador and advances Calvin University’s Christian mission through technology, ethics, and engineering education.

Designs, develops, tests, deploys, and maintains AI-powered cybersecurity capabilities, including threat detection, automated response, compliance monitoring, risk assessment, and SIEM enhancements. Develops and optimizes machine learning models, CI/CD pipelines, data workflows, and model monitoring processes. Supports AI governance, NIST and federal compliance, risk assessments, technical documentation, secure tool integration, and collaboration with SOC, engineering, and government stakeholders.

Develop and deploy UiPath RPA solutions and generative AI applications using AWS Bedrock, LLMs, prompt engineering, fine-tuning, and RAG. Integrate AI with business applications and automation workflows, build secure APIs and cloud-native services, support data governance, and apply DoD responsible AI and RMF controls. The role also includes testing, documentation, architecture participation, production support, and mentoring junior developers.

Analyzes usage data across 15+ web applications, builds data pipelines, develops predictive models, and introduces AI/ML tools to improve analytics. Creates executive dashboards and reports, identifies trends and anomalies, communicates actionable recommendations, and ensures data integrity, security, and compliance. Collaborates with technical teams and business stakeholders while documenting analytical methodologies and presenting findings to leadership.

Leads the evaluation, integration, deployment, governance, and optimization of Perplexity AI, LLM, and generative AI solutions in enterprise and federal environments. Designs integrations with systems, APIs, data sources, and workflows; establishes responsible AI and privacy frameworks; monitors performance and output quality; coordinates security and compliance; supports procurement, documentation, training, change management, and executive reporting.

Designs, implements, and sustains AWS cloud platforms, Kubernetes environments, HashiCorp automation, CI/CD pipelines, observability, and secure deployment practices. Translates stakeholder requirements into maintainable platform capabilities, troubleshoots complex infrastructure and application issues, supports Agile planning and production transitions, and develops reusable automation, documentation, testing evidence, and operational runbooks for government digital services.

Own the full SaaS sales cycle, from outbound prospecting and discovery through proposal development, negotiation, and closing. Sell AI-powered software to local government entities, manage the CRM pipeline, meet sales targets, support marketing events, collaborate with stakeholders, and contribute to sales strategy. The role requires substantial software and quota-carrying SaaS sales experience, preferably in GovTech or EdTech, with travel for events and client meetings.

Lead enterprise adoption of Agentic AI across Genesys Cloud, designing scalable architectures, integrations, data flows, proofs of concept, and production solutions. Translate business objectives into measurable customer experience and operational outcomes, advise executive stakeholders, optimize AI solutions after launch, and promote responsible AI practices involving security, privacy, HIPAA, and PCI compliance.

Build and ship production infrastructure for reliable AI agents handling complex, multi-step tasks. Responsibilities include agent execution, retrieval and memory systems, evaluation harnesses, production improvements, customer collaboration, orchestration, and hiring. The role requires owning the full development cycle and improving agent performance using real-world feedback.

Participate in an 11-week IT internship supporting enterprise data, AI, and automation initiatives. Analyze business processes, support business partners, contribute to impactful projects, and apply skills in SQL, Power BI, Excel, Python, databases, data visualization, and app development. Interns must be enrolled in a bachelor’s or master’s program, maintain a minimum 3.0 GPA, and work from the Tampa headquarters.

Develop AI-assisted engineering practices and shared tooling for physicists and engineers. Establish standards for LLM use in embedded C++, Rust, RTOS, and kernel development, while measuring productivity, quality, safety, and reliability. Influence AI tooling architecture and workflows across a multidisciplinary engineering organization, supporting experiment analysis, optics, PCB and FPGA design, quantum control software, and safe AI operation in quantum processors.

Own the design, development, deployment, evaluation, and monitoring of production AI systems for healthcare workflows. Build reliable agents and copilots that reason over structured and unstructured data, integrate tools, handle uncertainty, and escalate to human reviewers when needed. Partner cross-functionally with product, clinical, operations, and engineering teams, while mentoring engineers and shaping reusable Applied AI platform capabilities.

Build and deploy AI-powered products and workflow automation for home healthcare. Responsibilities include developing agents and intelligent workflows, backend services, APIs, data pipelines, document intelligence systems, evaluations, monitoring, and production AI components. Partner with clinical, product, design, and operations teams to understand workflows, improve system quality through feedback and error analysis, and determine when to use AI, deterministic software, or human review.