• The AI GTM Engineer is responsible for designing, building, and scaling AI-enabled workflows that improve the speed, quality, and repeatability of Seeq’s go-to-market execution. • This role sits at the intersection of marketing, operations, systems, and applied AI, helping the GTM organization move from ad hoc use of AI tools to durable, governed, high-value workflows. • This leader partners closely with Product Marketing, Industries, Whole Offer Management, Regional Marketing, Partner Marketing, ABX / Campaign Execution, Campaign Program Management, Field Enablement, Marketing Analytics and Infrastructure, Revenue teams, and Product to build practical AI systems that support research, content assembly, campaign execution, launch readiness, knowledge management, and performance visibility.

Requisition Number: 2357479 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Be able to understand the Facets Delivery, Client priority and requirements - Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption - Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems - Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions - Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs - Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services - Develop secure, maintainable software using SQL and modern engineering patterns - Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure - Implement machine learning and natural language processing projects from concept to production - Conduct rigorous model testing, validation, and performance optimization - Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions - Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets - Stay current with emerging trends and advancements in generative AI and ML technologies - Mentor and lead other engineers to reach their potential - Ensure code quality and security by identifying and resolving vulnerabilities - Maintain solid programming practices and standards - Provide timely updates on tasks to reporting supervisor - Adherence to the defined SLA Compliance etc - Provide support and leadership in critical production support issue resolution - Participate in on-call rotations as scheduled - Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Undergraduate degree or equivalent experience - 3+ years of experience in Python programming - 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform - 2+ years of Database Design/Programming - 1+ years of Terraform scripts understanding - 1+ years of Git action and CI/CD experience needed Preferred Qualifications: - 2+ years of software engineering and testing experience in C# / .Net programming language - Healthcare Claims EDI Experience - Prompt engineering experience - Experience leveraging Large Language Models (LLMs) - Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology - Experience with the challenges of delivering and monitoring LLM based cloud systems into production - Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $98,500 to $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #BI-Hybrid

• Serve as a technical lead and advisor to development teams transitioning to AI-driven development • Enable adoption of agentic AI development practices across multiple engineering teams • Support implementation of AI development lifecycle/spec-driven development practices • Coach and mentor engineers on AI development best practices, tools, and frameworks • Deliver training sessions, workshops, and enablement programs for developers and technical leaders • Partner with stakeholders across IT, product engineering, and enterprise AI teams to align on strategy and execution • Help development teams move from traditional agile delivery to AI-first engineering approaches • Support development of AI engineering accelerators and reusable frameworks • Act as a liaison between technical teams and leadership, ensuring alignment and delivery outcomes

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike’s Sensor Security Platform team builds foundational security capabilities for Crowstrike’s Falcon sensor, which runs on over 75 million endpoints worldwide. We are significantly expanding our AI and machine learning capabilities on the endpoint. We are seeking a principal engineer to help define our endpoint AI learning framework. The person who fills this role will help us deliver new security capabilities on the endpoint by leveraging deep learning and machine learning. This job is not about securing AI agents themselves - it is about using AI running on the endpoint as a tool for endpoint security. The Falcon product operates on the endpoint with high reliability and little system impact. As we introduce new ML and AI on the endpoint, we need to maintain our light footprint as well as deliver improved security outcomes. This role is for a senior individual contributor, but also a technology leader where you will help build a team to support these tools. You will help expand our use of hardware acceleration to open new horizons for how AI can be used in endpoint protection. You will work closely with our in-house data scientists, security researchers, and endpoint engineering teams. This is an opportunity to help shape CrowdStrike’s next generation of endpoint machine learning capability. Location: - This role is a hybrid role, working out of future Toronto, ONT, Canada office with an expectation of being in the office 2x days a week once the office is open. It will be Remote until then. What You Will Do: - Work with stakeholders in data science, endpoint engineering, and product groups to define the capabilities for a next generation endpoint AI framework for our falcon sensor. - Lead development of that framework as an individual contributor; architect; and thought leader. - Lead technology direction for a highly performant and cross platform model delivery framework. - Design interfaces which our models will use to interact with our falcon sensor, which runs on millions of Windows, Linux, and macOS endpoints worldwide. - Define resource utilization limits and optimize solutions to provide AI powered security on the endpoint while maintaining our agent’s lightweight footprint. - Define approaches for testing (efficacy, regression, performance). Define approaches to produce repeatability with testing, while operating with runtime (vs static) data. What You'll Need: - Leadership experience developing and delivering ML and AI models. - Understanding of common AI platform technologies, such as ONNX, OpenVino, or others. - Experience working with runtime data and in a high performance environment. - Familiarity with AI hardware acceleration using the NPU or GPU. - Strong endpoint development experience on at least one of our major platforms - Windows, Linux, or macOS. Windows platform experience, including kernel development, is preferred but not required. - Strong C/C++ development experience. - Experience with systems level programming. - Ability to work with teams crossing organizational boundaries. - Track record of owning solutions from design phase through post-delivery. - Record of engineering technology leadership. People management experience is not necessary. - Experience in the security industry is a bonus but is not required. - Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. #LI-Remote #LI-CW1 Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. CrowdStrike Canada ULC is committed to equal pay for equal work in its compensation practices. The base salary range for this position in Canada is $175,000 - $250,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process are subject to background checks, including but not limited to criminal record, credit, and/or reference checks.