Top Artificial Intelligence Jobs

Leads the design and implementation of large-scale, cloud-native full-stack systems for cloud operations resilience. Develops distributed microservices using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes. Defines platform roadmaps, architecture, engineering standards, and operational practices while improving reliability, performance, and technical debt. Mentors engineers, leads design reviews and cross-functional initiatives, evaluates emerging AI technologies, and influences enterprise technology strategy.

Build and lead development of cloud-based, full-stack systems supporting observability, connectivity, resilience, and availability. Design distributed microservices, define service boundaries, establish engineering standards, improve system performance, reduce technical debt, and implement AI-powered solutions. Collaborate with product managers and architects, influence technology strategy, mentor engineers, and drive cross-functional technical initiatives using Python, Go, JavaScript, TypeScript, AWS, Docker, and Kubernetes.

Design, develop, validate, and deploy machine learning, GenAI, LLM, and agentic solutions for enterprise healthcare operations. Build scalable Python inference APIs on Kubernetes, implement semantic search and retrieval capabilities, and maintain AI/ML pipelines. Evaluate emerging technologies, apply responsible AI practices, use AI-assisted development tools, and collaborate with technical and business stakeholders while ensuring strong documentation, coding standards, and performance monitoring.

Leads multiple software engineering teams within employee platforms, providing technical guidance, managing delivery, coaching engineers, and ensuring compliance with business requirements and service levels. Drives responsible adoption of enterprise-authorized AI-assisted development, SDLC automation, and reusable engineering practices. Oversees stakeholder relationships, project dependencies, agile delivery, security, application resiliency, and cloud-native engineering initiatives.

Own the vision, strategy, roadmap, and execution of Snapchat safety, law enforcement, and regulatory compliance products. Define goals and metrics, identify opportunities through data and user research, collaborate with engineering and cross-functional partners, translate regulatory requirements into product solutions, and drive launches. The role requires strong analytical, communication, prioritization, relationship management, and AI-focused problem-solving skills.

Manage approximately 30 enterprise agency and systems integrator partner relationships. Build strategic partnerships, advise partners on Klaviyo solutions, drive referrals, co-selling, revenue growth, co-marketing, enablement, and product adoption. Serve as a trusted consultant and product expert, present to partner audiences, develop joint business strategies, and collaborate cross-functionally with Sales, Customer Success, Marketing, Product, and Enablement. Travel may be required for partner meetings and events.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Leads enterprise risk and resilience advisory engagements spanning cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structures complex client problems, facilitates executive workshops, develops recommendations and execution plans, coordinates cross-functional experts, supports pursuits and solution development, and creates methodologies and reusable practice assets. Builds trusted executive relationships while helping grow RapidScale’s Risk & Resilience advisory practice.

Leads enterprise risk and resilience advisory engagements, structuring complex client challenges across cybersecurity, cloud, AI, governance, compliance, and transformation. Develops recommendations, roadmaps, executive presentations, proposals, scopes of work, and engagement plans. Coordinates cross-functional subject matter experts, facilitates executive workshops, supports pursuits, and contributes to methodologies, frameworks, and reusable practice-building assets.

Lead enterprise Risk & Resilience advisory engagements spanning risk, cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structure ambiguous client problems, lead workstreams, facilitate executive workshops, develop recommendations and roadmaps, support proposals and solution design, coordinate subject matter experts, and create repeatable consulting methodologies and practice assets.

Leads enterprise Risk and Resilience advisory engagements across cybersecurity, cloud, AI, governance, compliance, and operational readiness. Structures complex client problems, facilitates executive workshops, develops recommendations and execution plans, supports pursuits and solution development, coordinates cross-functional experts, and creates consulting methodologies, frameworks, proposals, and reusable practice assets.

Lead enterprise risk and resilience advisory engagements from problem definition through recommendations and execution planning. Facilitate executive workshops, develop proposals and scopes of work, coordinate cybersecurity, cloud, AI, compliance, and architecture experts, and manage client communications. Translate complex business and technology risks into actionable strategies, roadmaps, and presentations. Help build repeatable consulting methodologies, frameworks, collateral, and go-to-market capabilities for RapidScale’s growing advisory practice.

Own end-to-end delivery of a multi-year autonomous manufacturing facility supporting a defense-scale shipbuilding program. Responsibilities include facility setup, robotic application sequencing, production qualification, ongoing operations coordination, NAVSEA compliance, stakeholder management, risk mitigation, milestone reporting, and maintaining program requirements and handoffs. The role requires coordinating engineering teams, external robotics partners, customer leadership, and government stakeholders while traveling to program sites up to 25% of the time.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Provides Six Sigma process improvement expertise across financial and healthcare operations. Supports project scoping, risk identification, resource allocation, facilitation, vendor management, strategic initiatives, data analysis, issue resolution, and project documentation. Presents findings to senior leadership and ensures projects are completed on time and within scope. The role requires project management certification, project execution experience, Six Sigma knowledge, and demonstrated artificial intelligence knowledge.

Leads CDW’s enterprise AI enablement program by creating roadmaps, coordinating cross-functional leaders, scaling AI champion networks, translating responsible AI guidance into practical practices, and tracking adoption and impact. The role drives AI fluency and behavior change across a large, multinational organization through program governance, leader coaching, external research, partner management, dashboards, and repeatable operating standards.

Provides strategic technical leadership for industrial hygiene and safety engineering programs supporting a major account. Responsibilities include hazard identification, exposure assessment, risk prioritization, control evaluation, robotics and automation safety reviews, onsite assessments, sampling analysis, facility modernization support, KPI development, executive reporting, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel and requires expertise in occupational exposure limits, industrial hygiene methods, safety engineering, and regulatory standards.

Owns end-to-end planning, budgeting, forecasting, reporting, and performance analysis for the US Investment Management business. Leads variance analysis and creates credible, executive-ready financial narratives, challenging assumptions and advising senior leaders on risks and tradeoffs. Partners with business stakeholders, improves FP&A processes and controls, and applies AI and automation to streamline forecasting and reporting. Requires strong business acumen, advanced Excel and PowerPoint skills, and experience presenting financial insights to senior leadership.

Leads the global operational lifecycle for Kinexys and eWallet, including payment processing, settlements, investigations, reconciliations, exception management, client servicing, controls, and incident response. Defines operating strategy, governance, metrics, capacity plans, and scalable operating models. Drives operational transformation, automation, readiness for new products and regulatory requirements, risk management, audit support, remediation, and continuous improvement while leading geographically distributed teams and cross-functional stakeholders.

Part-time remote contractor who evaluates and improves AI-generated software engineering content. Responsibilities include prompt authoring, rubric-based model evaluation, technical documentation, fact-checking, data annotation, research, and detailed feedback on AI outputs. The role requires strong software engineering knowledge, technical writing, analytical reasoning, and attention to detail. Three or more years of professional software engineering experience is preferred, along with experience reviewing technical artifacts such as architecture documents, RFCs, design specifications, or code reviews.

Leads first-party card fraud strategy by analyzing fraud trends, customer friction, and internal and external data. Develops and implements detection strategies, operational controls, and performance monitoring to balance fraud losses, costs, revenue, and customer experience. Partners with product, technology, and operations teams on requirements, testing, and capability development. Communicates with senior stakeholders, tracks industry practices, manages priorities, and mentors analytical team members.

Lead financial planning and decision support for cloud and datacenter engineering investments. Partner with engineering, talent acquisition, procurement, and finance stakeholders on FTE and vendor resource planning, forecasting, budgeting, workforce strategy, capacity investments, resource allocation, and financial analysis. Provide scenario modeling, business insights, trade-off recommendations, and executive-level reporting to support strategic engineering priorities and optimize resource deployment.

Lead the transformation of Marsh Re’s actuarial advisory capabilities across North America. Develop client-focused risk quantification, analytics, and risk transfer strategies; serve as a senior analytics lead for clients and prospects; support revenue growth, thought leadership, and executive engagement. Establish scalable processes, integrate AI into analytics workflows, influence platform priorities, align resources with broking needs, and build a high-performing global actuarial modeling organization, including expansion of the India-based support team.

Supports customer success planning, stakeholder relationships, delivery coordination, risk tracking, cloud and AI adoption, and account reviews for Microsoft customers. The role helps connect customer priorities with Azure and Microsoft solutions, improve solution health, coordinate resources, escalate issues, and drive measurable business value. It includes structured onboarding, mentoring, and progressive responsibility through Microsoft’s Early-in-Profession program.