AI工程师
AI Engineer
虽然技术是我们的业务核心,但全球多元的文化是成功的核心。我们热爱我们的员工,并自豪地为他们打造一个以透明、多样性、诚信、学习和成长为基础的文化。
如果在一个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是一家屡获殊荣的、以人工智能为核心的数字工程和咨询公司,专注于提供高影响力的解决方案和服务,帮助组织解决真正重要的问题。我们与企业合作,通过智能、可扩展且具有变革性的AI重新构想他们的业务,从而在其运营的核心实现可衡量的成果。
自2013年成立以来,Quantiphi通过结合深厚的行业专业知识、严谨的云和数据工程实践以及前沿的应用AI研究,解决了世界上最复杂的商业挑战。我们的工作以交付加速的、可量化的商业价值为核心,而不仅仅是技术本身。
总部位于波士顿,Quantiphi是一家全球性组织,拥有4000多名专业人士,服务于包括BFSI、医疗健康与生命科学、快消品、制造、TME等关键行业垂直领域。作为NVIDIA、Google Cloud、AWS和Snowflake等领先云和AI平台的精英和高级合作伙伴,我们构建并交付企业级AI服务和解决方案,创造现实世界的影响。
我们获得了以下认可:
- 过去8年中获得21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。
- 我们在医疗健康、金融服务、消费品、制造业等多个领域提供首屈一指的行业解决方案,由前沿的生成式AI和代理AI加速器驱动。
- 连续三年(2021、2022、2023)被评为“值得工作的优秀场所”。
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就在这里!
了解更多详情,请访问:Website或LinkedIn页面。
职位:AI工程师(MLE架构师 - 代理工作流与企业集成)
经验级别:5年以上
工作地点:美国(远程)
职位概述:
Quantiphi正在寻找一位经验丰富的...
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 is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
We’ve been recognized with:
- 21x 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:Websiteor LinkedIn Page.
Role:AI Engineer (MLE Architect - Agentic Workflows & Enterprise Integration)
Experience Level: 5 plus
Work Location:US (Remote)
Role Overview:
Quantiphi is seeking an experienced AI Engineer to help build a next-generation, AI-driven workflow platform leveraging agentic architecture to power intelligent, scalable solutions. This role focuses on translating inputs from customer requirements and internal product teams into robust, multi-agent workflows that drive efficiency, innovation, and business impact.
You will operate in a human-in-the-loop development model, guiding AI coding assistants and autonomous agents while owning end-to-end system design, enterprise integration, security, and scalability. Working across the full stack, Python back-end services, React front-end applications, and cloud-native (AWS) environments, you will deliver production-grade platforms that integrate seamlessly within complex enterprise ecosystems.
Key Responsibilities:
- Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns
- Translate inputs from internal product teams into scalable, AI-powered workflows and services
- Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation
- Apply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems
- Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability
- Design and operate event-driven architectures using AWS native services and messaging middleware
- Build secure Python back-end services for AI agents, workflow execution, and enterprise integrations
- Develop React-based front-end applications supporting complex, AI assisted user workflows
- Design and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems
- Build and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance
- Support customer deployments, including occasional on-site builds and integrations
- Contribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness
Basic Qualifications:
- Agentic Workflows & AI Systems
- Expert-level understanding of agentic workflow patterns, Multi-agent orchestration
- Tool-based reasoning and execution
- Human-in-the-loop controls
- Workflow state, memory, and evaluation
- Strong proficiency in Python, with hands-on experience building AI agents and workflow systems
- Expert-level experience with LangGraph or equivalent agent orchestration frameworks
- Deep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments
- Proficiency with ChatGPT tools, structured prompting, and multi-agent collaboration
- Enterprise Integration & Architecture
- Expert-level understanding of enterprise integration patterns, including:
- Event-driven and asynchronous integration
- API-based and message-based communication
- Workflow orchestration and choreography
- Integration with shared enterprise services
- Strong understanding of web architecture, distributed systems, and cloud native design
- Proven experience designing and operating multi-tenant platforms
- Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement
- Front End, Cloud & Delivery
- Advanced experience building React web applications
- Expert-level understanding of AWS, including:
- DynamoDB
- EventBridge
- Messaging systems (e.g., RabbitMQ)
- Middleware and integration services
- VPC networking, IAM, and security boundaries
- Strong experience with CI/CD pipelines and automated deployments
- Ability to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight
- Occasional travel for customer or on-site builds may be required
Other Qualifications (OQs):
- Experience in Life Sciences or Healthcare, particularly clinical or commercial platforms
- Familiarity with FHIR and HL7 standards
- Experience building customer-facing enterprise platforms
- Background in platform engineering or internal developer platforms (IDPs)
What’s in it for YOU at Quantiphi:
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Originally posted on Himalayas