Top Artificial Intelligence Jobs

Leads Benchling’s enterprise applications function, owning the SaaS portfolio, architecture, integrations, platform lifecycle, and vendor strategy. Oversees revenue and finance systems programs, including quote-to-cash, pricing, packaging, and billing. Drives automation, AI adoption, self-service, audit-ready SOX controls, and measurable operational efficiency. Partners with Finance, Sales, RevOps, People, Legal, and CX leaders while developing the applications team and contractor bench.

Lead the end-to-end development of an AI-powered operating system for a diversified business group. Build data ingestion pipelines, shared data models, reconciliation engines, function-specific AI agents, vehicle-routing optimization, forecasting, document AI, evaluation systems, and secure cloud infrastructure. Work directly with the owner, embed with operational teams, translate business problems into technical plans, deploy production systems, and measure business outcomes as the company transitions to AI-native operations.

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.

Provides executive leadership for life insurance and annuity operations, including new business processing, policyholder services, contact centers, claims, and third-party administrators. Owns operational strategy, service performance, process optimization, automation, customer experience, risk management, budgeting, vendor oversight, and continuous improvement. Leads large teams and partners with executives and cross-functional stakeholders to improve efficiency, compliance, quality, and financial performance.

Own the company’s AI strategy, roadmap, governance, and delivery of initiatives producing measurable P&L impact. Lead business-case development, vendor selection, implementation, adoption, change management, AI literacy, and cross-functional governance. Partner with executives, IT, Legal, Compliance, HR, and business leaders to deploy AI solutions, manage budgets and vendors, establish guardrails, and measure revenue, margin, cost, risk, and adoption outcomes.

Directs corporate insurance, captive insurance, claims, risk allocation, and loss-control strategies for a national retail real estate portfolio. Manages brokers, carriers, claims partners, legal stakeholders, and a team of three. Oversees reserves, distributions, governance, policy negotiations, risk data systems, and insurance requirements in leases, financing, construction, and vendor contracts. Analyzes claims trends and develops initiatives to reduce exposure and costs.

Own a balanced inbound and outbound SMB sales pipeline, generate new business, qualify opportunities, conduct discovery and demonstrations, engage multiple stakeholders, and close full-cycle B2B sales. The role requires quota ownership, prospecting, pipeline management, accurate forecasting, CRM hygiene, and adapting sales strategies based on customer feedback. This is a hybrid position requiring collaboration from a local hub three days per week.

Handle first- and third-party auto claims end to end, including coverage analysis, liability decisions, bodily injury, physical damage, cargo losses, settlement negotiations, reserves, and severity management for claims up to $250,000 FDV. Oversee TPAs, identify claim trends, pilot AI-driven innovations, communicate with stakeholders, and support special projects. The role is hybrid in Atlanta.

Lead architecture and hands-on delivery of production-grade LLM and agentic AI platforms: design cloud-native AWS services, retrieval and RAG, observability, evaluation frameworks, secure APIs, performance/cost optimization, and mentor senior engineers while defining engineering standards for reliable, safe AI operations.

Manages financial operations for enterprise client portfolios by optimizing cash and yield strategies, monitoring market performance, analyzing data, preparing reports, and identifying efficiency opportunities. The role collaborates with global cross-functional teams, supports client decision-making, develops business cases, contributes to internal tools and product enhancements, and manages operational risks and process improvements.

Research Intern contributing to quantum error correction and fault-tolerant computing for neutral-atom quantum computers. Responsibilities include researching QEC codes, magic state production, fault-tolerant logic, algorithm synthesis and compilation, and protocol design, simulation, and execution. The intern will collaborate with experimental physicists, hardware and software engineers, and translate concepts into demonstrations on quantum hardware.

Leads an AI engineering team building scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and governance. Establishes technical strategy, optimizes production AI systems for cost and performance, manages cloud deployments, translates enterprise goals into roadmaps, and develops engineering talent.

Conduct applied AI research focused on multimodal guardrails and vision-language models. Build and evaluate foundation models across training, validation, optimization, and production implementation. Collaborate with data scientists, engineers, and product managers to deliver scalable AI products. Develop research libraries and platform code, investigate emerging methods, document findings, and contribute to technical reports or conference publications.

Designs and builds scalable, secure AI/ML solutions for healthcare clients, including LLM workflows, AI agents, copilots, and intelligent automation. Leads solution architecture, prototyping, cloud deployment, evaluation testing, troubleshooting, and production delivery. Translates ambiguous business and clinical needs into actionable technical solutions while advising stakeholders and collaborating across product and engineering teams.

Designs and deploys enterprise AI/ML solutions, scalable models, data pipelines, and MLOps architectures in cloud production environments. Responsibilities include model monitoring and optimization, responsible AI implementation, workflow automation, emerging technology evaluation, cross-functional architecture collaboration, code reviews, and mentoring. The role focuses on healthcare challenges and supports production-grade machine learning systems, including real-time inference and continuous integration and deployment.

Lead AI/ML strategy and implementation for enterprise Engagement Technology Operations. Drive AIOps, generative AI, intelligent automation, observability, predictive monitoring, anomaly detection, automated remediation, and self-healing capabilities. Oversee platform reliability, incident response, disaster recovery, governance, vendor relationships, and operational transformation. Partner with business and technology leaders to define roadmaps, measure outcomes, communicate risks, and improve scalability, resilience, efficiency, and cost optimization across critical platforms.

Designs, builds, deploys, and scales agentic AI solutions for healthcare clients. Responsibilities include architecting systems integrating LLMs, machine learning models, APIs, and enterprise platforms; developing production-grade AI applications; evaluating agent performance; troubleshooting cloud-based distributed systems; and translating business and clinical needs into actionable technical solutions. The role also leads client engagements, collaborates cross-functionally, and communicates recommendations to technical and executive stakeholders.

Conduct computational drug discovery research using AI- and physics-based methods. Prepare protein and small-molecule datasets, perform molecular modeling and virtual screening, analyze results, prioritize compounds for experimental testing, collaborate with interdisciplinary researchers, and support computational drug-discovery workflows.

Owns the enterprise quality engineering practice across agile delivery teams. Establishes quality standards, test architecture, acceptance criteria, regression and smoke coverage, UAT coordination, release readiness, automation gate governance, quality metrics, and cross-team testing practices. Builds AI-assisted quality workflows with human oversight, coaches delivery roles and testers, leads the Testing Community of Practice, and identifies environment, test data, and residual risks.

Leads strategic AI initiatives across semiconductor product and engineering organizations. Establishes program frameworks, manages timelines, dependencies, risks, and outcomes, aligns cross-functional teams, reports portfolio health to senior leadership, integrates AI requirements into product roadmaps, improves processes, and facilitates decision-making. Applies generative AI, LLMs, and agentic tools to enhance program workflows, reporting, and analysis.

Advise housing clients on technology and vendor ecosystems, recommend future-state integrations, and drive implementations through go-live. Coordinate clients, technology partners, and internal teams while managing multiple engagements independently. Help build scalable playbooks, processes, templates, and vendor knowledge systems to improve delivery quality and speed.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Owns the Coupa and Omnea procure-to-pay systems roadmap, administration, integrations, reporting, automation, controls, and production support. Partners with Procurement, AP, Finance, Tax, Legal, Compliance, and regional teams to scale global purchasing and invoicing across Europe and JPAC. Leads system implementations, country rollouts, testing, releases, vendors, controls, data integrations, reporting, and continuous process improvement while supporting AI-enabled automation and trusted procurement analytics.

Own a revenue quota by selling new Planhat products to existing customers. Build pipeline, identify expansion opportunities, engage senior technology and AI stakeholders, lead deals from discovery through close, and develop a repeatable growth sales playbook in collaboration with Growth, Deployment, Sales, and Product teams.

Develops strategic communications and narratives for global technology, AI, innovation, and digital transformation initiatives. Advises the CTO and leadership team, creates executive thought leadership content, manages employee engagement and communications planning, supports technology adoption, and coordinates internal and external messaging across technology, security, HR, legal, and corporate communications stakeholders.