Senior Ai Security Engineer Jobs

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Director, GTM Systems & AI Transformation Reports to: VP, Revenue Operations Team: Senior GTM Transformation Specialist, Senior GTM Engineer Location: San Francisco About the Role Snorkel AI's Revenue Operations team designs, builds, and runs the systems, data, and processes that power our Go-to-Market motion. The Director, GTM Systems & AI Transformation leads that effort end-to-end — from systems architecture to workflow automation to AI-enabled process innovation — and manages a small, high-leverage systems team. This is a hands-on leadership role for someone who can own the technical roadmap and transform the GTM motion. You'll partner directly with Sales, Delivery, Marketing, Finance, and Legal to make sure our systems reflect how the business actually needs to run, and you'll be a trusted business partner to every team you touch. What You'll Own Systems Strategy & Architecture Partner with GTM leaders to define and evolve the systems architecture strategy across Sales, Delivery, Customer Success, Marketing, and more Set the roadmap for Salesforce and the broader GTM stack (Gong, Clay, Ironclad, Float, CPQ, billing/revenue automation, and future tooling) Own Salesforce architecture, data integrity, and data hygiene as the foundation of the role — new automation and AI initiatives get built on top of a clean, well-governed baseline Own vendor relationships and renewals across the GTM stack Team Leadership Manage and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Opportunity Okta is building an AI-enabled demand engine that uses signals, automation, and intelligent engagement to identify, qualify, route, and progress the right buyers more effectively. The AI Journey Operations Manager will own the business strategy, qualification framework, routing logic, operating model, and performance optimization for AI-assisted xDR capabilities across the Global Demand Center. This role is not primarily a platform administration or workflow-build role. It is a senior, cross-functional capability-owner role responsible for determining how AI-assisted qualification and engagement should operate, how it connects to human xDR and Sales follow-up, and how it contributes to measurable funnel and pipeline outcomes. The ideal candidate combines AI-enabled GTM experience, xDR/Sales process knowledge, demand generation, revenue operations, and journey strategy. They can translate business priorities into qualification logic, routing rules, AI engagement workflows, handoff requirements, measurement frameworks, and ongoing optimization plans. What You’ll Do Own AI xDR qualification strategy Define qualification frameworks for AI-assisted engagement across priority inbound, account-based, product-led, customer, and signal-triggered motions. Establish the fit, behavior, intent, engagement, and business-context criteria used to determine whether a lead or account should be engaged, progressed, routed, recycled, or suppressed. Partn

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the

About the team The Applied AI Engineer, Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships wi

About the Team The Applied AI Engineer - Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the Role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our São Paulo, Brazil office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedd with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage rel

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success. WHAT YOU'LL DO Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow), specifically integrating Pure Storage's FlashBlade, FlashArray, and Portworx as the high-performance data plane for data ingestion, training, and inference. Build High-Performance AI/ML Reference Architectures: Create validated, repeatable deployment models using Infrastructure as Code (e.g., Ansible, Terraform) for AI/ML environments spanning bare metal, virtual machines, and GPU-accelerated Kubernetes clusters, ensuring optimal performance for distributed training. Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput, low-latency model serving, utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization, model sharding like DeepSpeed/Megatron-LM, and dynamic bat

About the team The Applied AI Engineer - Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our SF or Seattle office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relat

We’re looking for an experienced sourcing leader to join the Datadog Procurement team and help grow the Strategic Sourcing group. Make an impact by partnering closely with senior technology and business leaders, owning our fastest-growing AI, neocloud, and inference spend end-to-end, and continuing to prove the value that Strategic Sourcing brings to the organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the AI spend category end-to-end, covering foundation-model and AI APIs, AI development and productivity tools, and AI-enabled SaaS (with neocloud and inference compute as an emerging area), while developing and executing category strategies aligned to business objectives Champion AI and automation adoption across the sourcing function by identifying tools (e.g. Claude, ChatGPT) and building repeatable workflows that make sourcing faster, smarter, and more scalable Lead high-value AI vendor negotiations spanning foundation-model and API agreements, AI development and productivity tools, and AI SaaS, structuring seat- and consumption-based pricing across net-new purchases and strategic renewals, and building neocloud and GPU-capacity capability as the category grows Partner with Engineering and Finance to turn architectural and consumption trade-offs into commercial business cases, forecasts, and savings targets Build pricing and consumption models and apply FinOps discipline to quantify buying scenarios and uncover savings across a fast-moving spend base Work alongside executive and senior technology leadership as a trusted advisor on AI and neocloud investment decisions, influencing strategy and commercial trade-offs at the leadership level Track category KPIs (savings, pipeline, cycle time), monitor AI market, vendor, and pricing trends,

QUI SOMMES-NOUS Artefact 3000 est l’agence créative intégrée d’Artefact qui combine le talent créatif au savoir-faire data & IA. L’agence puise son inspiration dans le réel et les insights précis pour concevoir des idées qui résonnent et marquent les esprits sur tous les terrains de jeu créatifs, de l’IA aux médias intemporels. Basée à Paris, Artefact 3000 compte 65 collaborateurs et accompagne ses clients dans la définition de leur stratégie de communication, la conception et le déploiement de campagnes intégrées, l’animation des réseaux sociaux, et la production digitale (contenus, expériences digitales, sites web). MISSIONS Dans ce rôle, tu es en charge de la production de contenus visuels et vidéo en IA générative , sous la direction d'un créatif tech senior et en collaboration direct avec un autre créatif. La majorité de ton activité consiste à exécuter des briefs créatifs avec des outils IA, en garantissant la qualité et la cohérence des livrables finaux. Production IA (cœur du poste) Produire des contenus image et vidéo avec des outils IA génératifs (Midjourney, Runway, Kling, Higgsfield,, etc.) selon des briefs créatifs précis. Assurer la post-production et l'intégration des assets IA dans des livrables finaux (montage, compositing, motion). Motion design & exécution créative Produire des contenus vidéo en motion design (After Effects, Premiere Pro). Décliner des concepts visuels validés sur les formats de campagne 360 (social, display, film digital, OOH). Contribuer à l'élaboration de moodboards et key visuals en amont de production. PROFIL Expérience Diplômé(e) d'une école de Design (design graphique ou motion design) ou avec une première expérience professionnelle en agence. Un portfolio avec des productions IA concrètes est obligatoire ; les candidatures sans livrables IA ne seront pas examinées. Compétences techniques indispensables Maîtrise indispensable de la Suite Adobe : After Effects, Premiere Pro, Photoshop et Illustrator

About the Role Natera is a global leader in cell-free DNA testing, serving patients across oncology, women’s health, and organ health. Our Data & AI organization builds the enterprise data platform and AI systems that turn clinical, genomic, and operational data into products that improve patient care and accelerate the business. We are looking for a Data & AI Engineering Tech Lead to set the technical direction for a solutions team that builds analytics and AI solutions directly for business stakeholders: data and AI pipelines, data models, semantic layers, and the agents, dashboards, and data products that sit on top of them. This is a hands-on, senior individual contributor role: you will write production code, own architecture and design decisions for the solutions your team delivers, and raise the engineering bar through design leadership, code review, and mentorship. This team is AI-native by design. We expect engineers to use AI coding harnesses and agentic tooling as a core part of how they build, test, document, and operate solutions, and we expect the Tech Lead to model and scale those practices across the team. You will work in a regulated environment where data quality, lineage, and privacy are core requirements of every solution we ship. The ideal candidate is a strong engineer first, with a product mindset toward business outcomes, the judgment to make pragmatic architectural tradeoffs, and the communication skills to align engineers, product managers, and business stakeholders around them. Key Responsibilities Technical Leadership & Architecture Own the technical design and architecture for the analytics and AI solutions your team delivers; drive design reviews and make build-vs-buy and technology decisions in partnership with the data platform and architecture teams. Translate business stakeholder needs into well-scoped technical designs, breaking down complex analytics initiatives into deliverable milestones for the team. Establish and e

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We are seeking an experienced Solution Architect to lead the design, implementation, and deployment of cloud-native, AI-powered healthcare solutions. This role requires a hands-on technology leader who can work across Product, Architecture, Engineering, Data, and Business teams to transform ideas into scalable, production-ready solutions. The ideal candidate will possess a strong combination of AI expertise, cloud architecture experience, healthcare industry knowledge, and business acumen. They must be passionate about emerging technologies, market trends, and innovation while maintaining a pragmatic focus on delivering achievable business outcomes. This individual will play a critical role in guiding product strategy, defining solution architecture, oversee implementation, and ensuring successful deployment of AI-enabled products and platforms. Accountabilities include: Identify, Define, and execute end-to-end AI enabled strategic solutions aligned with project objectives. Lead and supervise architectural initiatives within assigned projects or areas. Develop architectural designs and solutions, ensuring adherence to standards and best practices Mentor and guide junior and senior architects in project-related tasks and skill development. Collaborate with cross-functional teams to deliver effective architectural solutions. Collaboration and

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: AI/ML Engineer Job Type: Full Time Location: Columbia, MD Clearance Requirement: TS/SCI, CI Poly Salary : Senior $215, SME $240K WHAT YOU’LL DO SIXGEN is actively seeking candidates to be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM’s AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a AI/ML Engineer on this team, you will design and integrate the models, agents, and AI workflows that run on that platform, with significant, visible impact on the mission of the USCC. What You'll Be Doing: Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools in support of our customer. Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit. Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit. Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context. Implement MCP (Model Context Protocol)-based tool-broker integrations so agents can safely and securely access enterprise tools and data. Evaluate, benchmark, and tune models and agent behaviors; build automated evaluation pipelines to track quality, safety, and performance over time. Partner with data scientists and mission analysts to

ABOUT US Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion. We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking. ROLE RESPONSIBILITIES We are currently seeking Senior Consultants to support and drive the growth of our Data and AI practice. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients. This project is with a leading Corporate & Investment Bank as an AI Governance and Risk lead. You will support the translation of global AI regualtions into practical policies, controls, and governance frameworks KEY RESPONSIBILITIES Lead the implementation of a globally consistent approach to AI-related regulatory change and Responsible AI governance Monitor evolving AI regulations and translate requirements into practical governance processes and controls. Develop and maintain AI governance frameworks, policies and procedures to support the safe and responsible use of AI. Coordinate AI-related regulatory engagements across businesses, functions and markets. Partner with senior stakeholders across Compliance, Legal, Risk, Technology and Business to oversee AI use cases and regulatory compliance. Provide senior management with regular reporting on regulatory developments, key risks, deliverables and governance metrics . SKILLS & EXPERTISE At least 5 years' experience across financial s

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the International Policy Applied AI team at Anthropic, you will be a trusted technical advisor to governments, AI Safety Institutes (AISIs), and multilateral institutions. You'll use your technical skills and your experience with government partners to help them understand frontier AI, test it, and apply it to their public missions with a high degree of reliability and safety. This role serves Anthropic's policy, mission, and public benefit goals. In collaboration with the Policy, Product, Research, and Engineering teams, you'll help partners develop strategies and plans to evaluate and adopt leading-edge AI systems. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests around the world, while maintaining our best-in-class safety standards. Responsibilities: Act as a primary technical advisor for senior officials in partner governments, AISIs, and international institutions. Brief them on frontier AI capabilities, give an honest account of both benefits and harms, and explain safety research in terms that inform their decisions. Partner closely with the Policy team to understand each partner's goals and requirements. Develop demos, pilots, prototypes, and evaluation suites that show how Claude can support their public missions, such as cyber defense. Lead technical onboarding, enablement, and hands-on workshops for partner institutions, including national cybersecurity agencies.