技术项目经理
Technical Program Manager
虽然技术是我们的业务核心，但全球多元的文化是我们成功的核心。我们热爱我们的员工，并自豪于为他们打造一个以透明、多元、诚信、学习和成长为基础的文化。
如果在鼓励你创新并不仅在职业上也在个人生活中取得卓越的环境中工作吸引你，那么你将在Quantiphi拥有精彩的职业生涯！
关于Quantiphi：
Quantiphi自2013年成立以来实现了年度同比增长2.5倍，我们不只是创新，更是引领者。总部位于波士顿，全球有4000多名Quantiphi专业人员。作为Google Cloud、AWS、NVIDIA、Snowflake等的精英/高级合作伙伴，我们获得了以下荣誉：
- 过去8年获得17次Google Cloud年度合作伙伴奖。
- 获得3次AWS AI/ML奖项。
- 获得3次NVIDIA年度合作伙伴称号。
- 获得2次Snowflake年度合作伙伴奖。
- 还获得了Gartner、ISG和Everest Group的顶级分析师认可。
- 我们提供行业领先的解决方案，涵盖医疗保健、金融服务、消费品、制造等多个领域，由尖端的生成式AI和代理式AI加速器驱动。
- 我们已连续三年被评为值得信赖的工作场所——2021年、2022年和2023年。
加入一个开创未来的团队，塑造AI、机器学习和云创新的未来。你的下一个重要机会从这里开始！
更多详情，请访问：Website或LinkedIn页面。
职位和职责：
- 定义并推动生成式AI中心（Gen AI COE）的发展路线，确保与业务目标一致。
- 制定并执行AI基础设施设置、开源大语言模型微调、问答机器人UI和自然语言查询的项目计划。
- 建立并跟踪AI驱动解决方案的KPI、SLA和成功指标。
- 确保AI项目的按时交付、范围符合和风险缓解。
- 领导跨职能团队（机器学习工程师、软件工程师、DevOps、数据科学家）以实现有效的AI执行。
- 作为企业客户的可信顾问，确保持续的价值交付和生成式AI解决方案的采用。
- 寻找扩展机会和额外的AI服务。
- 管理利益相关者关系，并明确AI项目成果的期望。
- 促进敏捷仪式，并与工程、MLOps和产品团队协作，实现无缝的AI开发。
- 与DevOps协调基础设施配置、模型部署和性能优化。
- 维护和优化AI系统的稳定性与效率。
查看英文原文
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:
- 17x Google Cloud Partner of the Year awards in the last 8 years.
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- 2x Snowflake Partner of the Year awards.
- We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
- We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
- We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
For more details, visit:WebsiteorLinkedIn Page.
Roles and Responsibilities:
- Define and drive the Gen AI COE roadmap, ensuring alignment with business objectives.
- Develop and execute project plans for AI infrastructure setup, fine-tuning open-source LLMs, Q&A bot UI, and natural language querying.
- Establish and track KPIs, SLAs, and success metrics for AI-driven solutions.
- Ensure on-time delivery, scope adherence, and risk mitigation in AI projects.
- Lead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution.
- Act as a trusted advisor to enterprise clients, ensuring continuous value delivery and adoption of Gen AI solutions.
- Identify opportunities for expansion and additional AI services.
- Manage stakeholder relationships and set clear expectations for AI project outcomes.
- Facilitate Agile ceremonies and collaborate with engineering, MLOps, and product teams for seamless AI development.
- Coordinate infrastructure provisioning, model deployment, and performance optimization with DevOps.
- Maintain and refine technical documentation, backlogs, and sprint reports.
- Oversee AI model deployment on cloud platforms (AWS, GCP, Azure) ensuring scalability, security, and cost optimization.
- Guide teams on AI pipeline automation, CI/CD for ML models, and ML governance best practices.
- Ensure regulatory compliance and data privacy adherence in AI-driven HCLS solutions.
Required Skills:
- Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related technical field.
- 10+ years in technical program management, AI/ML product delivery, or cloud-based AI solutions.
- Deep understanding of AI/ML infrastructure (training & inference).
- Proficiency in cloud AI platforms (AWS SageMaker or GCP Vertex AI or Azure ML).
- Knowledge of natural language processing (NLP), prompt engineering, RAG, and Gen AI architectures.
- Proven ability to lead large-scale AI/ML projects with cross-functional teams.
- Strong stakeholder management and ability to translate AI concepts into business impact.
- Expertise in Agile methodologies, Jira, and backlog management.
- Experience managing budgets, contracts, and vendor relationships in AI/ML projects.
- Excellent problem-solving, communication, and leadership skills.
- Ability to manage uncertainty in AI research & development.
- Strong analytical mindset with a customer-first approach.
Preferred Skills:
- Prior experience in building AI COEs or AI strategy teams.
- Scrum Master certification or PMP certification.
- Experience with LLM fine-tuning (SFT, LoRA, QLoRA) and Gen AI use cases.
- Strong grasp of MLOps best practices, AI observability, and model deployment strategies.
What is in it for you:
- Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
- Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.
- Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.
- Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Originally posted on Himalayas