Senior AI Engineer Jobs

Redis

Redis is seeking a Senior Full-Stack Engineer to enhance how engineers and AI agents interact with Redis products. This role involves building and evolving key developer-facing surfaces like the Redis Cloud console, Redis Insight, and an agentic layer for MCP servers, CLIs, and agent skills. The team prioritizes usability, performance, and developer experience, leveraging AI agents for code generation and issue resolution. This is a high-ownership position for a product-minded engineer aiming to create impactful developer tools.

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Scale AI

Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you will raise the bar for how AI is built, governed, and evaluated across the team. You will define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. You will be accountable for production AI behavior, its backend integration, and the evaluation required for a specific customer.

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We are seeking an Applied AI Scientist with substantial machine learning experience to join our AI Technologies team. In this role, you will be instrumental in developing practical machine learning and generative AI solutions, transitioning them from experimentation to production environments. You will collaborate closely with product owners, data engineers, software engineers, and fellow ML practitioners to design, test, refine, and deploy AI/ML capabilities at scale. This is a hands-on position for individuals who thrive on solving technical challenges, writing code, exploring innovative approaches, and building reliable systems from initial concepts.

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Isomorphic Labs is at the forefront of applying artificial intelligence to accelerate drug discovery and develop life-changing medicines. We are building a pioneering AI-first platform and autonomous agentic workflows to drive the next generation of drug discovery pipelines. As a Senior AI Security Engineer, you will operate at the intersection of AI and Cybersecurity, architecting and securing our platform. Your mission is to design custom risk management frameworks for the AI threat landscape in life sciences, establish governance over model artifacts, and embed security controls into our AI infrastructure. You will lead AI-specific incident response and pioneer model-driven defense mechanisms to safeguard intellectual property and accelerate innovation.

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As an AI and Data Technical Architect, you will serve as a senior, hands-on technical leader and trusted advisor to customers. Your primary responsibility will be designing, validating, and operationalizing enterprise-grade data and AI architectures, with a focus on Salesforce D360 and the Agentforce platform. This role bridges data engineering, platform architecture, and applied AI, requiring you to guide Chief Data Officers and Enterprise Architects through emerging AI solutions. You will collaborate closely with Account Executives and Product teams to ensure customers maximize the platform's value by architecting scalable, secure solutions that integrate D360 into complex enterprise ecosystems, including hyperscalers, data lakes, and governance frameworks.

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Scale AI

Scale's Global Public Sector team is seeking Applied AI Engineers to build custom, end-to-end AI applications for public sector clients worldwide. This role involves leveraging the latest AI advancements to create impactful solutions, generate high-quality training data for national LLMs, and contribute to upskilling initiatives. You will work on developing and fine-tuning sophisticated models for real-world use cases, aiming to transform public sector operations and enhance citizen services through cutting-edge technology. Join a rapidly expanding team dedicated to shaping the future of AI in the public sector.

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Lila Sciences is building a talent-dense, high-agency AI safety team focused on identifying and mitigating risks from scientific superintelligence while preserving scientific discovery capabilities. The team will develop and implement a bespoke safety strategy, encompassing technical strategy, ecosystem engagement, safety evaluations, risk mitigation systems, and research into long-term oversight needs. You will build shared software to help the team understand and reduce societal risks from scientific AI, translating needs from threat modeling, evaluations, red teaming, and mitigation development into reliable tools and systems. This role involves owning engineering work from scoping and prototyping through deployment and improvement, supporting research across scientific models, agents, and automated experimentation.

$192k - $288k

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

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Nimble Gravity is seeking a hands-on engineering leader to build and coach a team across the Americas focused on turning ambiguous business problems into production-ready AI systems. This role requires a blend of technical expertise and client-facing skills, involving client workshops, code reviews, and strategic opportunity identification. The ideal candidate will be comfortable leading a distributed team, owning project delivery, and acting as the technical liaison with clients, demonstrating the capabilities of AI solutions like Claude Code and Claude Cowork.

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We are seeking an experienced Staff Forward Deployed Engineer to join our team and help build the future of AI-powered software creation. This is a hands-on software engineering role where you will design, write, and ship production code, working directly with customers to translate ambitious ideas into real products. You will be a founding member of our Forward Deployed Engineering (FDE) function, helping to define its engineering standards, ways of working, and collaboration with product teams. This is a unique opportunity to scale a new discipline from scratch, solve novel AI problems, and shape a product and team while remaining deeply hands-on.

$199k - $325k

Capital One is building responsible and reliable AI systems to transform banking. Leveraging deep experience in machine learning and investments in technology, the company aims to be at the forefront of enterprise AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing Capital One's AI vision. The team builds and deploys proprietary AI solutions that deliver value to millions of customers and empower other teams across the company to enhance their products with AI in responsible and scalable ways.

$197k - $225k

Lila is developing AI systems for scientific discovery, connecting advanced models with scientific tools and automated laboratories. As these systems become more capable, we need to understand how they could be misused or compromised, which protections matter most, and how to establish that those protections work together. We're hiring an experienced security practitioner to lead this work at the boundary between AI safety and security. You will investigate real systems, develop threat models, test important assumptions, and recommend the protections needed for particular capabilities and deployments. Your work will address both dangerous misuse and the protection of sensitive models, data, and research. This is an opportunity to help shape a developing area of AI safety through security practice, combining technical investigation with careful analysis and clear writing, working closely with our established Security team, researchers, and engineers to turn findings into implemented improvements. You will bring security depth and develop your understanding of model capabilities, evaluations, and safeguards through that work.

$192k - $306k

Lila Sciences is developing autonomous systems for scientific discovery, and this role focuses on building security into the AI infrastructure from the ground up. As a senior individual contributor on the IT & Security team, you will be responsible for security engineering across Lila's AI and ML systems, encompassing training and inference pipelines, model registries, MCP servers, and agent runtimes. Your work will involve translating the AI security roadmap into actionable controls, driving vulnerability remediation, and mitigating risks throughout the AI lifecycle, including data, models, pipelines, and agentic systems. This is a hands-on role requiring technical expertise in cloud security, supply chain security, and AI-specific threat modeling, with a strong emphasis on cross-functional collaboration with AI Platform, AI Research, ML Operations, Science, and AI Safety teams to ensure security is integrated from the design phase.

$252k - $374k

LILA is seeking a Senior Human Factors Engineer to be the human-factors voice for Robotics, focusing on the software that powers Lila's autonomous labs. You will collaborate with software engineers and researchers to make complex interfaces for simulation, research operations, orchestration, and SCADA-style monitoring clear, safe, and trustworthy. Your work will directly influence the speed and accuracy of the factory's operations. This role involves leading usability research, designing high-stakes displays, prototyping and validating interfaces, defining human-in-the-loop workflows for AI-driven processes, and championing accessibility standards.

$144k - $240k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This Principal Engineer role will focus on building foundational enterprise systems to prepare Lila for large pharmaceutical and research organizations. The work involves driving core enterprise capabilities like multi-tenancy, identity management, permissions, audit infrastructure, and billing. A key aspect will be pushing the frontier by building agentic AI-powered systems for self-service tenant management, customer observability, automated compliance, and AI-native external APIs for programmatic interaction. This is a deeply technical, high-autonomy, individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure, with a fast-paced, weekly shipping cadence.

$204k - $310k

LILA Sciences is seeking a Principal Software Engineer to join their Applied AI group. This role focuses on building the next generation of AI-driven scientific platforms by designing and optimizing backend systems, data pipelines, and AI integrations. You will work at the intersection of backend engineering and machine learning, ensuring the platform scales and supports advanced applied AI techniques like Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. The ideal candidate bridges software engineering and applied AI, transforming research into production-grade systems for scientific discovery.

$204k - $310k

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design through implementation, testing, deployment, and production support. You will develop backend services in Python, build APIs and micro-services, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale.

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ClickHouse

The Learning Team at ClickHouse is expanding rapidly, and we're seeking a Technical Curriculum Developer to enhance our hands-on training experience. This role involves accelerating technical content creation by integrating AI-powered tools and agents directly into the learning process. You will be responsible for the infrastructure that supports content releases, certification exams, courses, and learning environments. Additionally, you will spearhead GenAI initiatives to improve content development efficiency and build an AI-powered user experience for our students.

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Handshake AI is seeking a Senior Software Engineer to build the systems that power high-quality coding data and evaluations for next-generation AI models. This role involves working on technically complex projects related to software engineering benchmarks, code review evaluation, agentic coding workflows, and developer-facing tools. You will combine strong engineering judgment with hands-on execution, designing reliable systems that enable teams to create, validate, and improve sophisticated coding datasets. This is an opportunity to shape foundational infrastructure at the intersection of software development and AI, operating with significant ownership and collaborating closely with engineers and technical program leaders.

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Indicium AI is seeking a Forward Deployed Software Engineer to embed directly with client engineering teams and transform how they build software using AI. You will identify unarticulated problems and ship changes that make AI-native engineering a reality in their daily workflows and production pipelines. This role is for an experienced software engineer passionate about AI's impact on software engineering, helping organizations redesign their capabilities from tooling to team structure. You will lead engagements at complex organizations, co-engineer with client teams to integrate new ways of working, and own the senior technical relationship with engineering leaders.

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NVIDIA is seeking a Senior Software System Architect to join a team focused on networking management systems, AIOps platforms, and applied AI solutions for AI cluster operations. In this role, you will collaborate with customers, internal operational teams, architects, and Product and Engineering teams to translate complex operational challenges into clear requirements and scalable architectures. You will then guide these capabilities through implementation and delivery, creating products that provide significant value to customers. The ideal candidate possesses deep technical judgment, a broad system perspective, and the drive to bring ideas to production, demonstrating an ability to ask insightful questions, identify critical details, and foster alignment across teams.

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Accenture

This role is for a Forward Deployed AI Engineer who works directly within client enterprises to ensure complex AI platforms function effectively in real-world organizational settings. Unlike consulting or project delivery roles, this position focuses on owning production outcomes such as time-to-value, adoption, reliability, and scalability. The core challenge addressed is the gap between successful AI pilots and scaled AI capabilities, bridging it with engineers who can translate platform potential into measurable business value within enterprise environments. Forward Deployed AI Engineers are central to the company's Reinvention Deployment Engineering pods, offering opportunities to define the role at scale and tackle significant enterprise AI challenges across various industries.

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Glean is the Work AI platform that helps everyone work smarter with AI, evolving from enterprise search to a full-scale Work AI ecosystem. It powers intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform with over 100 enterprise SaaS connectors and flexible LLM choice. Glean redefines how enterprises find, use, and act on knowledge through its Enterprise Graph and Personal Knowledge Graph, enabling deeply personalized, context-aware responses and agentic capabilities to automate real work across teams. As a founding member of Glean's forward deployed team, you will operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes, with the best of what you build shipping to every Glean customer.

$160k - $270k

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. As we scale rapidly and take on increasingly complex use cases, we are expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities and set the technical direction for how teams across Harvey build, test, and ship AI features. This role requires both technical depth and product intuition, with a focus on making fast, high-quality decisions, working at the cutting edge of applied AI, and growing a team that embodies engineering excellence.

$272k - $355k