About the Team The AI Center of Excellence is a multidisciplinary group of Data Scientists and AI Engineers who partner with Detection and Response teams to turn cutting-edge research into real-world security products. We leverage LLMs, agentic workflows, and behavioral modeling to stay ahead of evolving threats and ensure our customers remain secure. About the Role As a Senior Software Engineer - Data Science, your primary responsibility will be to drive the end-to-end delivery of ML and LLM-based solutions on AWS. Specifically, your focus will be to: - Design and implement sophisticated ML pipelines for security use cases, including malware detection and user behavioral analytics. - Architect and maintain RAG pipelines and agentic AI workflows using toolchains like LangChain and LangGraph to automate complex security tasks. - Optimize and deploy models within the AWS ecosystem, utilizing SageMaker and Bedrock while ensuring robust monitoring, drift detection, and retraining workflows. - Collaborate and mentor across the team to establish architectural standards, conduct code reviews, and support the technical growth of junior engineers. The skills and qualities you'll bring include: Core Skills - Technical Ownership: Ability to take a project from a conceptual prototype to a high-quality production system. - Analytical Problem Solving: Expertise in applying scientific computing and statistical modeling to unlabeled, large-scale data. - Continuous Learning: A proactive approach to mastering emerging technologies in LLMs, Generative AI, and agentic systems. Functional Skills - Python Proficiency: Advanced experience with numpy, pandas, and scientific computing libraries. - Machine Learning Frameworks: Hands-on expertise with scikit-learn and Deep Learning frameworks (PyTorch or TensorFlow). - Generative AI Toolchains: Proven experience with HuggingFace, Transformers, LangChain, and LangGraph. - Cloud Infrastructure: Strong experience deploying and operating ML workloads on AWS (SageMaker, Bedrock, Lambda, EKS). - Vector Databases & RAG: Practical experience designing and tuning Retrieval-Augmented Generation pipelines. - MLOps & CI/CD: Proficiency in managing model registries, versioning, and automated deployment via GitHub Actions or Jenkins. - Security Domain Knowledge: Familiarity with threat detection, malware behaviour, or cybersecurity analytics. - Model Explainability: Ability to implement and interpret model transparency tools like SHAP or LIME. - LLM Evaluation: Experience using evaluation frameworks such as Promptfoo or HELM to ensure model quality and safety. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. #LI-AK1 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.

Job Description Join a Fast-Paced Team of Engineers Creating Cutting-Edge AI and Software Products We are seeking an experienced Senior Cloud AI/ML Engineer to join our team of engineers creating innovative AI and software products for Enterprise. As a member of our team, you will work closely with AI COE developers and engineers to develop technologies that enhance the capabilities of our BAE systems. Our goal is to create user-driven applications that optimize human-AI performance in the next generation of digital transformation. This job is fully remote About the AI COE Team The AI COE team is a collaborative, cross-functional team committed to innovation, integrity, continual learning, and strong execution. We enable the successful delivery of high-impact technologies for BAE System's mission. - Unique User-Driven Approach: Work directly with a wide range of stakeholders to develop solutions that directly impact their missions. - Efficiency and Innovation: Join a small team where you can work quickly, efficiently, and have a substantial impact on the entire development process. - Innovation Culture: Be part of a team where innovation is encouraged. - Continuous Learning: Stay current on industry best practices in a fast-paced and dynamic environment. Responsibilities - Design, develop, and deploy robust machine-learning algorithms, including large language models. - Collaborate with stakeholders to understand business requirements and translate them into actionable solutions. - Integrate Vortex AI, AWS and MS AI Foundry to develop scalable and secure AI solutions. - Manage and deploy AI solutions on cloud-based platforms, ensuring high availability, scalability, and reliability. - Develop and maintain cloud-based infrastructure, including data pipelines, data warehouses, and data lakes. - Work with cross-functional teams to develop and implement DevOps practices for AI/ML solutions. - Conduct data discovery and analysis by cleaning, preprocessing, and transforming raw data into usable formats, ensuring data quality and integrity. Required Education, Experience, & Skills A Bachelor's degree with a minimum of 8+ years of professional experience as a Cloud AI Engineer, with a focus on cloud-based AI/ML solutions. - Strong understanding of cloud-based platforms such as AWS, Microsoft AI Foundry, and Vertex AI. - Experience with large language models (LLMs) and their applications in AI. - Proficiency in cloud-based services such as AWS SageMaker, AWS Glue, AWS Lambda, and AI Foundry. - Experience with containerization using Docker and Kubernetes. - Strong understanding of DevOps practices and tools - Experience with Agent + RAG system and its application in data science and AI. #LI-KK1 #LI-REMOTE Preferred Education, Experience, & Skills - Master's or Ph.D. degree. - Experience working with large datasets. - Excellent communication and presentation skills. - Experience with cloud-based data warehousing and big data processing (e.g., AWS Glue, Apache Spark). Pay Information Full-Time Salary Range: $108787 - $184937 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems, Inc. BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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. Job Title Senior SAP ABAP & S/4HANA Architect / Lead Engineer Job Summary We are seeking a highly skilled SAP ABAP and S/4HANA technical expert to design, build, and modernize enterprise-scale SAP solutions. This role will play a critical part in S/4HANA transformation initiatives, clean core extensibility, cloud and event-driven architectures, and advanced integration scenarios across SAP and non-SAP platforms. The ideal candidate brings deep hands-on expertise in ABAP on HANA, CDS, RAP, SAP BTP, and integration technologies, along with strong collaboration skills to translate complex business requirements into scalable, secure, and high-performance technical solutions. Key Responsibilities SAP Application Development & Architecture - Design, develop, and implement complex SAP applications using ABAP, ABAP Objects, and ABAP on HANA for enterprise-scale systems. - Architect and develop Core Data Services (CDS) views, including analytical models, hierarchies, and CDS table functions to support both transactional and analytical use cases. - Develop and optimize ABAP Managed Database Procedures (AMDP) and SQLScript logic to enable code pushdown and high-performance processing on SAP HANA. - Perform performance analysis and tuning of ABAP programs, CDS views, and database queries using SAP HANA tools and best practices. - Design and build applications using the ABAP RESTful Application Programming Model (RAP), including behavior definitions and service bindings. - Build side-by-side extensions on SAP BTP using the Cloud Application Programming Model (CAP), integrating with S/4HANA via APIs and event-based communication. - Design and implement event-driven architectures using SAP Event Mesh to enable asynchronous, loosely coupled integrations. For this role you will need Minimum Requirements - 5-7 years work experience - Adept at problem solving and decision making skills - Adept at collaboration and teamwork - Adept at growth mindset (agility and developing yourself and others) skills - Adept at execution and delivery (planning, delivering, and supporting) skills Preferred Qualifications - Certified Systems Engineering Professional (CSEP) preferred. - AWS Certified DevOps Engineer preferred. Education - Bachelor's degree preferred/specialized training/relevant professional qualification. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $185,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 04/07/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Role Description We are seeking an experienced Senior AI Engineer to lead the design and implementation of scalable, production-ready AI solutions that drive business value. This role combines architectural thinking with strong hands-on technical execution and business alignment. - Design and implement end-to-end LLM-powered applications, with a strong focus on Retrieval-Augmented Generation (RAG) pipelines. - Build production-ready AI systems using Python and modern AI/ML frameworks. - Develop and optimize data ingestion, embedding pipelines, and semantic search workflows. - Design and implement scalable vector database architectures. - Integrate and work with selected AI platforms and APIs (e.g., OpenAI, Anthropic, Azure OpenAI). - Deploy and maintain AI solutions in cloud environments (AWS, Azure, or GCP). - Collaborate with product and engineering teams to translate business requirements into scalable technical solutions. - Ensure code quality, testing, monitoring, and performance optimization of AI systems in production. - Contribute to MLOps practices including CI/CD pipelines, model lifecycle management, and observability. - Document technical decisions and implementation details. Qualifications - Master’s degree in Computer Science, Engineering, AI, or a related field. - 7+ years of experience in backend software engineering with the latest 1-2 years developing and implementing AI-powered solutions. - Proven hands-on experience building and deploying LLM applications, especially RAG-based systems. - Strong programming skills with the following order of preference regarding languages: Python > .NET > TypeScript > Java. - Experience integrating LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI). - Solid understanding of vector databases (e.g., Pinecone or Weaviate) and semantic search architectures. - Experience with at least one major cloud platform (AWS, Azure, or GCP) in production environments. - Understanding of APIs, microservices, and scalable backend architecture. - Experience deploying applications to production environments. - Strong problem-solving skills and ability to work in a fast-evolving AI landscape. Requirements - Experience contributing to AI system architecture design and technical standards. - Experience participating in AI roadmap discussions and technical planning. - Experience designing or implementing multi-agent AI systems. - Experience with alternative vector databases (e.g., FAISS, Milvus). - Experience with Hugging Face ecosystem or fine-tuning open-source models. - Hands-on experience with advanced MLOps frameworks and model governance. - PhD (completed or in progress) in a relevant field. - Experience mentoring junior engineers or leading smaller technical initiatives. Benefits - Our developers work on only one project at a time, so there is no need to juggle 2 or more projects. - We work on long-term projects, allowing you to get to know the client and their needs well, as well as the team. - You will have the opportunity to work on complex solutions with the latest technologies. - Remote work means it's up to you whether you work from home, beach, or the office. - Flexible working hours mean that you can tailor your workday to your preferences, without a time-tracking system. - All our employees will right away receive a contract for an indefinite period (B2B collaboration is also an option). - We provide regular feedback as part of our commitment to your ongoing development and success. - Job role switch opportunities if you want to try some new roles or technologies. - If you love taking courses or going to conferences, we are always open to discussing education opportunities. - Each team has its own monthly knowledge-sharing sessions combined with weekly talks and brainstorming sessions aimed at improving our current work and processes. - If you have a colleague or a friend who could be a good fit for us, we can offer you a referral fee. - Salary will be based on your experience and skills.