Top Artificial Intelligence Jobs

Drive AI-related revenue by developing go-to-market strategy, qualifying and closing SMB/mid-market deals, partnering with technical teams and vendors, creating AI-focused marketing content, training sales teams, maintaining CRM pipeline, and representing the company at events. Travel up to 50%.

The Senior Product Designer will define the architecture for user interactions with an AI workforce, build a design system in Figma, and create prototypes to validate designs, focusing on clarity and precision in complex financial environments.

The AI Platform Engineer will develop and maintain the platform architecture for AI systems, focusing on integration, security, and scalability. Responsibilities include improving deployment patterns and observability, and collaborating with teams to enhance AI solutions.

Build and operate the AI platform and runtime infrastructure for LLM/agent-powered products. Deliver CI/CD pipelines, model serving (self-hosted and managed), eval frameworks, key management, observability, cost controls, and developer tooling. Partner with AI, software, security, and finance teams and produce runbooks, docs, and best practices to ensure reliable, secure, and cost-effective AI deployments.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.

As an Applied AI Engineer at Rillet, you will create and implement AI systems for financial data, oversee features from design to production, and collaborate closely with product teams to innovate solutions in ERP workflows.

Build and productionize GenAI features: design experiments, evaluation suites, advanced RAG and reasoning pipelines, oversee SFT/LoRA tuning, and optimize quality-cost-latency trade-offs for reliable, user-focused AI products.

Design, develop, and deploy advanced AI/ML systems (deep learning, reinforcement learning, generative models) for aerospace and defense. Architect scalable solutions, integrate with hardware/software, lead projects, validate and verify performance and safety, mentor junior engineers, and collaborate with cross-functional teams to deliver mission-critical autonomous, sensor-fusion, and real-time decision-making capabilities.

The Acquisition Sales Specialist sells CoCounsel solutions to new law firms by meeting sales targets through outbound prospecting, managing leads, and utilizing Salesforce for tracking interactions and sales forecasting.

Execute fashion design briefs using Raspberry AI to produce flats, tech packs, colorways, prints, mood boards, and concept visuals. Translate creative direction into precise prompts, iterate on feedback, maintain brand-consistent quality, document workflows, flag platform issues, and partner with US Customer Success for intake and delivery under tight turnarounds.

Lead and grow AI engineering teams owning the AI-Native Intelligence Dashboard and Payments & Monetization. Set technical direction, ship AI-powered features, embed responsible and agentic AI practices, mentor engineering managers, manage cross-team dependencies, and collaborate with product, design, and data to deliver measurable customer impact at scale.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Own the full enterprise GTM lifecycle: prospecting, discovery, demos, pilots, negotiations, and expansions. Map creative workflows, run pilots with success metrics, lead commercial negotiations and contracts, and build scalable GTM systems while feeding customer insights back to Product and Leadership.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

Design, prototype, and productionize agentic AI solutions (RAG, tool-augmented agents). Build retrieval pipelines, integrate AI into enterprise workflows, implement CI/CD and observability, instrument outcome metrics, write specifications, perform code review, mentor junior engineers, and collaborate with stakeholders to deliver reusable, production-grade systems.

Lead an embedded AI innovation squad from discovery to production: harden prototypes, design reusable agentic AI patterns (orchestration, tools, memory, retrieval), ensure secure enterprise integration, codify reference implementations, mentor engineers, measure outcomes, and align solutions with architecture, compliance, and infrastructure standards.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

Architect and build ML systems for generative AI: design training pipelines, evaluation and serving infrastructure, train and deploy diffusion and LLM models, ensure production reliability, data pipelines, and set technical direction and quality standards across the AI team.

The Data/AI Program Manager leads IC-wide data management programs, develops strategic plans for data governance, coordinates initiatives across IC elements, and monitors compliance with directives.

Lead AI and data engagements for fraud and financial crime prevention: define strategy, architect platforms, develop and validate ML models and detection rules, manage delivery and client relationships, and drive adoption and thought leadership.

As a Software Engineer, Applied AI, you'll design and improve systems for agents, conduct evaluations, and influence product decisions based on real usage data.

The Project Program Manager will lead multiple AI-related projects, ensuring timely delivery and high standards while managing client communications and team accountability.

Design and deliver agentic systems for enterprises, integrating tools and data while ensuring safety and compliance. Collaborate with clients to optimize business workflows and system architectures.

As a Software Engineer (AI), you will design and implement AI systems, manage backend services, and collaborate closely with teams. You need extensive experience with LLMs and backend technologies.

The Staff Software Engineer will design and optimize control systems for general-purpose robots, focusing on motion planning, state estimation, and robust software frameworks for real-world applications.