Role Description The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote. The impact you will have: - Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems. - Own production rollouts of consumer and internally facing GenAI applications. - Serve as a trusted technical advisor to customers across a variety of domains. - Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally. - Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap. Qualifications - Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy. - Expertise in deploying production-grade GenAI applications, including evaluation and optimizations. - Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.). - Experience building production-grade machine learning deployments on AWS, Azure, or GCP. - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike. - Passion for collaboration, life-long learning, and driving business value through AI. - [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets. Requirements - Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. - Local Pay Range: $152,900 — $210,155 USD Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Title: AI Engineer Location: work from anywhere Job Description: Job type: Full Time · Department: Engineering (R&D) · Work type: Remote · USD 90,000-140,000 / year Who we are At AvantStay we run the technology platform behind 2,700+ vacation rentals across 60+ destinations. We've raised $200M+ of capital, do $250M+ in ARR, and have ~30 engineers building custom systems that price, list, market, and operate the entire portfolio. Recently we shipped multiple production AI agents, including a lead-qualification agent, on-demand BI reporting agent, CX agent and infrastructure monitoring agent that triages on-call alerts. We also are building an internal system to enable agentic evolution of our core products. Our stack is Scala and TypeScript across the backend, PostgreSQL, ClickHouse, Kafka, Kubernetes on AWS. For AI we use Claude, OpenAI, LangGraph,, Openclaw and MCP servers we built ourselves. The role You will be a strong individual contributor comfortable working directly with stakeholders. You will be reporting to senior engineering leaders, working alongside ~30 people across backend, frontend, data, and DevSecOps. The team is fully remote, flat, and talent-dense. You won't be starting from scratch - you'll join a strong team with years of experience and strong understanding of our systems. What you'll do - Ship LLM systems that tightly integrate with our infrastructure and knowledge bases: PostgreSQL, Clickhouse, Kafka, APIs, MCPs. - Maintain autonomous and human-in-the-loop systems and ensure uptime and accuracy - Interact with users and stakeholders to understand their problems and design solutions - Stay up-to-date with the latest trends in LLMs and applied AI practices - Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a product that solves actual problems. - Update existing systems to be agent-accessible. Some % of the work is refactoring APIs that were never meant to be called by an LLM - be ready for that. - Build the patterns and tooling that let the rest of engineering deploy agents faster. What you've done before - Shipped at least one LLM-powered system used by real users (internal or external) that took actions in a real system. - Can talk specifically about evals, retrieval shape, observability of agent traces, and handling non-determinism in a system business operators depend on. - Strong software engineering fundamentals - databases, Kafka, GraphQL/REST, Kubernetes, AWS. - Proficient in TypeScript. Scala (functional, Typelevel) and Python are a plus, but deep Scala expertise is not required. - Product instincts. You can sit with a stakeholder for an hour and walk out with a concrete idea of what to build. - Fluent in English. Nice to have - OSS contributions to the AI ecosystem. Examples: LangGraph, PydanticAI, DSPy, instructor, or similar. - Functional programming background. Preference to use functional paradigm. - High-throughput data systems experience (Kafka, ClickHouse, Postgres at scale). Perks and Benefits - Equity - Generous paid time off including holidays - 100% remote - work from anywhere in the world - Complimentary and discounted stays at AvantStay properties - Periodic team gatherings - Budget for Greenfield AI Tooling No soliciting from staffing agencies. Thank you!

SE-II AI Engineer - Agentic & Generative AI Experience: 2-5 years About the Team The AI Center of Excellence (AI CoE) brings together AI Engineers and Data Scientists to research, prototype, and deliver production-grade AI systems. Our mission is to leverage cutting-edge Generative AI, agentic frameworks, and LLM-powered solutions to protect our customers' attack surfaces. We partner closely with Detection and Response teams, including our MDR service, to build intelligent AI systems that operate autonomously, reason across complex security data, and continuously evolve. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment focused on learning, mentorship, and practical impact. If you're early in your AI engineering career and excited to build real-world agentic and GenAI systems in cybersecurity - this is your opportunity. The technologies we use include: - Python - core language for AI/ML engineering - LLM/GenAI toolchains: LangChain, LangGraph, HuggingFace Transformers - Agentic AI concepts: tool-calling, ReAct patterns, single and multi-agent workflows - RAG pipelines: vector databases, embedding models, basic retrieval strategies - AWS cloud ecosystem: Bedrock, SageMaker, Lambda, S3 - LLM observability & evaluation: Langfuse, Promptfoo (foundational exposure) - CI/CD for ML/LLM systems: GitHub Actions, Jenkins - Monitoring: CloudWatch, dashboards - Data science stack: scikit-learn, PyTorch, pandas, NumPy (supporting capabilities) About the Role Rapid7 is seeking an SE-II AI Engineer - Agentic & Generative AI to join our AI Center of Excellence as we expand our GenAI and agentic AI capabilities. This role is focused on building strong foundations in LLM engineering, contributing to agentic AI workflows, and growing into a well-rounded AI engineer in a production cybersecurity environment. This role is ideal for someone who is: - Developing hands-on skills in LLM orchestration, prompt engineering, and RAG pipelines - Gaining real-world experience with agentic AI patterns and AWS-based GenAI deployments - Building data science and ML fundamentals to complement AI-native work In This Role, You Will Agentic AI & LLM Systems - Contribute to building agentic AI workflows - tool-calling, basic agent loops, and LLM-driven automation under senior guidance - Assist in developing and maintaining RAG pipelines - document ingestion, chunking, embedding, and retrieval - Implement and iterate on prompt engineering - few-shot prompting, chain-of-thought, structured outputs - Work with LangChain / LangGraph for LLM orchestration and chaining tasks - Support LLM evaluation tasks - writing eval datasets, measuring output quality, running benchmarks - Contribute to observability and monitoring of LLM systems - latency, token usage, output quality dashboards - Deploy and test LLM-powered features on AWS Bedrock, Lambda, and SageMaker - Participate in prompt versioning and LLM CI/CD pipelines under guidance of senior engineers - Assist with guardrail implementation and output validation for production GenAI systems - Learn and apply agentic AI patterns - ReAct, tool-use APIs, and structured output parsing ML & Data Science - Work on data acquisition, cleaning, enrichment, and transformation for AI/ML pipelines - Build and evaluate supervised ML models (classification, regression) for security use cases - Apply unsupervised ML techniques such as clustering and anomaly detection - Contribute to malware detection and user behavioral models under senior guidance - Support model deployment on AWS SageMaker and monitor performance using established dashboards The Skills You'll Bring Core - Agentic AI & LLM (Required) - 2-5 years of experience in AI/ML engineering or software engineering with AI focus - Foundational hands-on experience with LangChain or similar LLM orchestration frameworks - Familiarity with prompt engineering concepts and techniques - Basic understanding of RAG pipelines - what they are, how retrieval works, and where they're applied - Awareness of agentic AI patterns - tool-calling, agent loops, ReAct - Exposure to LLM evaluation - understanding what good vs. bad LLM output looks like and how to measure it - Working knowledge of AWS Bedrock and/or SageMaker for AI/ML workloads - Strong Python skills and a learning-first mindset Data Science & ML - Working proficiency with pandas, NumPy, scikit-learn - Solid understanding of supervised and unsupervised ML, feature engineering, and model evaluation metrics - Exposure to deep learning frameworks (PyTorch / TensorFlow) - Basic familiarity with model explainability (SHAP, LIME) Advantageous - Exposure to cybersecurity, malware datasets, or threat detection domains - Hands-on experience with vector databases (FAISS, Pinecone, OpenSearch) - Familiarity with LLM observability tools - Langfuse, Promptfoo, or similar - Working knowledge of ML/LLM CI/CD pipelines - Basic understanding of multi-agent orchestration concepts About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what's possible and drive extraordinary impact. Here, we're building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever's next. Join us and bring your unique experiences and perspectives to tackle some of the world's biggest security challenges. #LI-SM5 - About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description As a member of our Solution Consulting team, you will have a major impact on our future success by supporting the Employee Experience, Customer Workflow, ITX Solution Sales. You will help guide revenue for one of our products with the support and partnership of Sales, Product Management, and the executive team. This is a hands-on technical consultant who can go wide and deep on solution delivery and solution positioning during sales cycles. What you get to do in this role: The Solution Consultant is a technical consultant with the advanced ability to develop, position and provide product-specific solutions during sales cycles while achieving quarterly and annual sales goals for an assigned territory. - Support product sales as a technical and domain expert of a client-facing sales team - Lead discovery workshops to determine customers' challenges and give product demonstrations to align our solution with customer needs - Answer product feature and technical questions from customers, channel partners and ServiceNow colleagues - Guide strategic programs in top accounts such as customer journey sessions for roadmap and outcome agreement - Provide feedback to product management about product enhancements that can address customer needs and guide additional value - Share and learn best practices and re-usable assets with other Solution Consultants to enhance the quality and efficiency of the team - Stay current on competitive analysis and market differentiation - Support marketing events including executive briefings, conferences, user groups, and trade shows Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 5+ years of pre-sales solution consulting or sales engineering experience - Proficiency with the ServiceNow platform or technical expertise with cloud software solutions - Experience working collaboratively with product management, product marketing, partners, and professional services - Territory management skills, including pipeline building and working with Sales counterpart to promote execution excellence - Willingness to travel FD21 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .