About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Team: Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams. The Platform T/PgM Team is responsible for overall program governance in Infrastructure, Infra Finance, Data Engineering and Security, as well as Compliance and managing our cloud budget. What you’ll do: - As a Staff Technical Program Manager focusing on cross-engineering special projects, you will identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning. - Lead Strategic ML/AI Platform Programs — Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform; owning outcomes from ambiguous opportunity through measurable execution. - Operate with an AI-First Execution Mindset — Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows (e.g., intake triage, status synthesis, risk and dependency tracking, action/decision extraction), and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths. - Prototype AI-Augmented Tools & Workflows — Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction — including dashboards, data analysis, process helpers, and internal tooling; using a "vibe coding" approach to move fast and validate value early. - Apply Safety-by-Design AI Governance — Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption. - Drive Complex Technical Decisions Across Teams — Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions; sequencing risky elements to fail fast and reduce downstream program exposure. - Translate Strategy into Execution — Convert strategic platform priorities into structured, milestone-driven execution plans; operating at both breadth (big picture vision) and depth (driving granular details with engineering teams) to ensure nothing falls through the cracks. - Shape Planning & Influence Roadmaps — Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles; influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs. - Build Scalable Processes & Best Practices — Define, institutionalize, and continuously improve program management processes, frameworks, and tooling; elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale. - Drive Cross-Functional Alignment & Communication — Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal; ensuring stakeholders at all levels; from ICs to executives, have timely, accurate visibility into priorities, status, risks, and decisions. - Own Program Outcomes End-to-End — Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through; representing program interests at the highest levels of the organization. What we’re looking for: - Experienced Technical Program Manager — 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent. With a proven track record of leading and delivering complex, multi-year initiatives spanning multiple engineering teams and organizations. - AI-First Execution Mindset — Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication; starting from AI-generated drafts and applying strong judgment to validate, refine, and drive decisions rather than defaulting to manual, high-toil approaches. - Workflow Design & AI Fluency — Experience turning repeatable program work into durable, low-toil mechanisms; including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput. - Safety-by-Design AI Governance — Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability, and proactively identifying where AI use is not appropriate or requires additional controls. - ML/AI & Systems Domain Knowledge — Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles; sufficient to engage credibly with technical teams, drive meaningful tradeoffs, and identify cross-system risks. - Strategic Vision & Entrepreneurial Leadership — Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs, with an entrepreneurial spirit that thrives in ambiguity and builds programs from the ground up. - Executive Influence & Thought Leadership — Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions, and building trusted relationships across disciplines and organizations without relying on formal authority. - Analytical Problem-Solving & Risk Mitigation — Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively. - Operational Excellence at Scale — Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility, with a focus on institutionalizing repeatable mechanisms that outlast individual programs and enable teams to execute with greater consistency. - Exceptional Communication & Collaboration — Outstanding written, verbal, and interpersonal communication skills; able to distill nuanced, technical concepts for diverse audiences, build consensus across competing perspectives, and foster an inclusive, collaborative environment that reflects Pinterest's commitment to diversity and belonging. Relocation Statement: - This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: - We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. - This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. #LI-REMOTE #LI-JD3 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $145,747—$300,067 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Requisition Number: 2356023 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. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. We are seeking a self-motivated and proactive individual to drive the development and implementation of AI-based tools and workflows. You will collaborate closely with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. The ideal candidate consistently seeks opportunities to enhance system performance and contribute to organizational objectives, while upholding ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle. 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: - Design and implement AI systems for conversational search in medical content - Evaluate, debug, and improve conversational AI to ensure accuracy and efficiency - Monitor and optimize system performance for latency, cost, and reliability - Explore and apply reinforcement learning and self-improving techniques - Collaborate and communicate effectively with cross-functional teams and stakeholders to deliver scalable solutions - Ensure responsible and ethical AI practices throughout all stages of development - Stay up-to-date with advances in AI/ML and actively contribute ideas, research, or solutions to improve team and product capabilities - Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle 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: - Graduate degree in computer Science or similar fields - 4+ years of hands-on experience in AI/ML, with a solid focus on natural language processing (NLP) and Language Models - 3+ years of experience with libraries such as Langchain, OpenAI API, Hugging Face Transformers, or similar tools for finetuning and integrating LLMs - Experience with agentic frameworks such as LangGraph, AutoGen, Bedrock, or Vertex AI, demonstrated by contributing to projects involving the design of modular and scalable AI agents Preferred Qualifications: - Experience deploying agentic systems in production environments, ensuring scalability, reliability, and performance - Experience with RL training for language models - Experience working on collaborative software projects using GitHub - Proven ability to engage in AI/ML research, evidenced by peer-reviewed publications or technical reports, and by incorporating recent advances in NLP and agentic frameworks into product-led projects *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 $91,700 to $163,700 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. #OptumTechPJ

DescriptionWe are seeking an AI Engineer to design, build, and deploy AI-powered capabilities within our product. This role focuses on integrating machine learning models and large language models (LLMs) into scalable software systems and delivering reliable AI-driven features to production. The AI Engineer works at the intersection of software engineering, AI systems, and infrastructure. transforming AI technologies into practical applications. Responsibilities: - Build applications powered by machine learning and large language models (LLMs). - Implement capabilities such as intelligent assistants, semantic search, automation, and recommendation systems. - Integrate AI functionality into backend services and product workflows. - Design and implement retrieval pipelines, embedding pipelines, and inference workflows. - Build Retrieval-Augmented Generation (RAG) systems and AI-driven services. - Create scalable AI architectures capable of handling production workloads. - Package and deploy AI models as production services. - Optimize inference performance, scalability, and latency. - Monitor AI services to ensure reliability and performance. - Develop backend services and APIs that expose AI capabilities. - Integrate AI systems with databases, internal services, and external APIs. - Contribute to system architecture and microservices design. - Implement logging, metrics, and observability for AI systems. - Track model performance and system reliability in production environments. - Work closely with product managers, engineers, and data scientists. Requirements - 5+ years of programming skills in one or more modern languages (such as Python, Java, Go, or similar). - Experience building backend services and APIs. - Experience integrating machine learning models or LLMs into applications. - Understanding of microservices architecture and distributed systems. - Experience with Docker and containerized applications. - Familiarity with Kubernetes or cloud infrastructure. - Experience working with databases and data processing pipelines. Preferred Qualifications: - Experience building LLM-based applications. - Experience with RAG architectures and embeddings. - Experience with vector databases or semantic search systems. - Familiarity with model serving frameworks or inference platforms. - Experience working in production AI environments. Strong Advantage: - Experience working with local or self-hosted AI models (e.g., Llama, Mistral, or similar). - Experience deploying AI models in on-premise or private cloud environments. - Familiarity with running LLM inference locally using frameworks such as Ollama, vLLM, or Hugging Face Transformers. - Experience optimizing models for GPU/CPU inference and resource-constrained environments.

• Feedback Loop Implementation: Design and implement systems that connect trade outcomes back to strategy improvement, specifically focusing on signal selection, risk parameters, position sizing, and timing. • Evaluation Frameworks: Build frameworks to quantify which signals and market conditions accurately predict profitable trades versus noise. • Automated Strategy Generation: Develop systems to explore new configurations, backtest them against real fleet data, and surface candidates for deployment autonomously. • Market Adaptation: Build mechanisms to detect shifts in market conditions (e.g., trending vs. choppy) and adapt fleet behavior in real-time. • Fleet Monitoring: Create higher-order agents for automated monitoring to catch configuration errors and performance degradation across all concurrent agents. • Performance Attribution: Decompose trades into component drivers—signal accuracy, execution efficiency, and exit timing—to feed insights back into strategy design. • Coordination & Risk: Manage concentration risk and capital allocation across the fleet, balancing the exploration of new approaches with the exploitation of proven strategies. • Infrastructure Ownership: Transition from external LLM dependence to controlled intelligence, evaluating hosting strategies ranging from proxied external models to fine-tuned, domain-specific models. • Data Capture: Build the telemetry and data capture layer to ensure every decision and outcome is structured and queryable. • Domain-Specific Training: Determine the efficacy of domain-specific training over general-purpose prompting and build the necessary pipelines for implementation. • Inference Optimization: Optimize inference for many concurrent agents, ensuring structured decision outputs and cost-efficiency at scale.