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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9c235fca-4e3"},"title":"Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI","description":"<p>As a Senior/Staff Machine Learning Engineer on the General Agents team, you&#39;ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems.</p>\n<p>You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.</li>\n<li>Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.</li>\n<li>Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.</li>\n<li>Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.</li>\n<li>Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.</li>\n<li>Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.</li>\n<li>Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.</li>\n<li>Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.</li>\n<li>Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.</li>\n<li>Proven proficiency in Python, including writing production-quality, testable, and maintainable code.</li>\n<li>Experience building systems that integrate models with external tools, APIs, databases, and services.</li>\n<li>Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.</li>\n<li>Strong communication skills and comfort working in customer-facing or cross-functional environments.</li>\n</ul>\n<p>Nice-to-haves include hands-on experience building AI agents using modern generative AI stacks, experience with agent frameworks, orchestration layers, or workflow systems, familiarity with evaluation, monitoring, and observability for LLM-powered systems in production, and experience deploying ML systems in cloud environments and operating them at scale.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9c235fca-4e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4658162005","x-work-arrangement":"hybrid","x-experience-level":"senior|staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Machine Learning","Artificial Intelligence","Python","LLMs","Agentic System Design"],"x-skills-preferred":["Generative AI Stacks","Agent Frameworks","Orchestration Layers","Workflow Systems","Evaluation, Monitoring, and Observability"],"datePosted":"2026-04-18T15:57:55.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; 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We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.</p>\n<p>As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world&#39;s most strategic technology and consulting landscapes.</p>\n<p><strong>Make Every Decision Count with Context</strong></p>\n<p><strong>The opportunity.</strong></p>\n<p>Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.</p>\n<p>This role will include:</p>\n<ul>\n<li>Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue 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with our broad range of benefits.</p>\n<p>We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.</p>\n<p>We offer:</p>\n<p>Competitive salary Company bonus Flexible working hours in a hybrid workplace &amp; free access to global WeWork locations &amp; events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health &amp; Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team&#39;s Social Budget &amp; Company-wide Summer &amp; Winter Parties Tech &amp; Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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As a principal program manager, you will be responsible for driving portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.</p>\n<p><strong>What You&#39;ll Be Doing:</strong></p>\n<ul>\n<li>Drive portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.</li>\n<li>Ensure alignment between program execution and organizational goals, maximizing business value from AI investments.</li>\n<li>Contribute strongly towards cross-functional AI governance and decision forums that balance innovation velocity with enterprise risk and compliance.</li>\n<li>Shape the future of the Gen/Agentic AI solutions, influencing the direction of AI governance, risk management, and compliance efforts.</li>\n<li>Enhance cross-functional collaboration and knowledge sharing, breaking down silos to accelerate innovation.</li>\n<li>Build scalable governance frameworks and operationalize industry standards to ensure compliance and quality throughout the AI lifecycle.</li>\n<li>Empower business units to confidently adopt GenAI technologies, driving enterprise-wide transformation and agility.</li>\n<li>Collaborate closely with stakeholders to define program objectives, scope, and deliverables that align with strategic business goals.</li>\n<li>Develop, maintain, and optimize comprehensive program plans, resource allocation, and risk mitigation strategies.</li>\n<li>Monitor program progress, identify potential roadblocks, and implement proactive solutions to keep projects on track.</li>\n<li>Provide strategic guidance and support to project teams, acting as a mentor and thought leader in AI program delivery.</li>\n<li>Foster a culture of continuous improvement within the PMO function, incorporating best practices and lessons learned.</li>\n<li>Stay current with industry trends, regulatory developments, and advancements in AI to enhance program delivery and governance.</li>\n<li>Drive the successful delivery of GenAI offerings and strategic initiatives, positioning Synopsys as a leader in enterprise AI adoption.</li>\n</ul>\n<p><strong>What You&#39;ll Need:</strong></p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Data Science, or a related discipline.</li>\n<li>Proven experience as a Program Manager, leading complex projects in the software or high-tech industry and leadingend-to-end evaluation of new model/app/tool requests (including third-party solutions), coordinating risk reviews across IP, privacy, security, and legal/compliance.</li>\n<li>Robust understanding of Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Responsible AI, and AI Governance, and are adept at embedding responsible practices, such as fairness, transparency, privacy, and accountability—into every stage of program delivery.</li>\n<li>Awareness of industry standards such as the NIST AI Risk Management Framework and EU AI Act-style Quality Management Systems, and ability to operationalize them effectively within large organizations.</li>\n<li>Hands-on experience with portfolio management tools (e.g., Jira, Azure DevOps), intake workflow systems, and knowledge bases (e.g., SharePoint, Confluence).</li>\n<li>Ability to drive Scalable, auditable AI governance mechanisms adopted across multiple business units.</li>\n<li>Reduced friction and cycle time for AI model/app approvals without increasing risk</li>\n<li>Measurable enterprise adoption and business value from GenAI deployments</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Strategic thinker with strong analytical and problem-solving skills.</li>\n<li>Excellent communicator, able to convey complex ideas clearly to technical and non-technical stakeholders.</li>\n<li>Adaptable and resilient in the face of change, with a continuous improvement mindset.</li>\n<li>Collaborative, inclusive, and able to build strong relationships across diverse teams and geographies.</li>\n<li>Comfortable operating in areas of ambiguity where policy, technology, and business objectives intersect.</li>\n<li>Able to manage multiple priorities in a dynamic environment</li>\n</ul>\n<p><strong>The Team You&#39;ll Be A Part Of:</strong></p>\n<p>You will be part of GenAI Center of Excellence, a team that is passionate about driving innovation and advancing our AI Platform &amp; Solutions. This role reports to Head of AI Program Management &amp; Chief of Staff, GenAI Center of Excellence. We are a close-knit, collaborative group that values open communication and continuous learning. We collaborate closely with engineering, product, compliance, and executive teams to deliver impactful results and shape the company’s AI strategy.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e98670af-ea4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/bengaluru/technical-program-management-ai-governance-principal/44408/91932946528","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Generative AI (GenAI)","Large Language Models (LLMs)","Agentic AI","Responsible AI","AI Governance","Portfolio management tools (e.g., Jira, Azure DevOps)","Intake workflow systems","Knowledge bases (e.g., SharePoint, Confluence)"],"x-skills-preferred":[],"datePosted":"2026-03-09T11:05:53.341Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Responsible AI, AI Governance, Portfolio management tools (e.g., Jira, Azure DevOps), Intake workflow systems, Knowledge bases (e.g., SharePoint, Confluence)"}]}