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 Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Company Highlights: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:<ul><li>17x Google Cloud Partner of the Year awards in the last 8 years.</li><li>3x AWS AI/ML award wins.</li><li>3x NVIDIA Partner of the Year titles.</li><li>2x Snowflake Partner of the Year awards.</li><li>We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.</li><li>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.</li><li>We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.</li></ul>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: <a href="http://www.quantiphi.com/" target="_blank" rel="noopener noreferrer">Website</a> or <a href="https://www.linkedin.com/company/quantiphi/" target="_blank" rel="noopener noreferrer">LinkedIn Page</a>.Responsibilities:<ul><li>Define and design comprehensive end-to-end architecture for production-grade multi-agent systems that are reliable, well-governed and compliant with industry standards.</li><li>Establish architectural standards, patterns and best practices for multi-agent deployments.</li><li>Create technical roadmaps and architecture blue prints for enterprise-grade agentic solutions.</li><li>Standardize proof-of-concept Agent codebases into robust, scalable, production-ready solutions.</li><li>Establish testing frameworks for multi-agent system validation.</li><li>Design and implement robust deployment pipelines on AWS/Azure cloud platforms.</li><li>Ensure scalability, reliability and performance of multi-agent systems in production.</li><li>Establish monitoring, logging and alerting systems for production environments.</li><li>Implement security protocols and compliance measures for enterprise deployments.</li><li>Conduct risk assessments and develop mitigation strategies for production systems.</li><li>Ensure adherence to data privacy and regulatory requirements.</li><li>Conduct Technical Reviews and ensure code quality across all development phases.</li><li>Guide development teams on orchestration patterns, error handling, CI/CD readiness, and scalability.</li><li>Help customers with creating sustainable, enterprise-grade AI architectures that deliver measurable business value.</li><li>Serve as an advisory consultant to customers on their AI transformation Journey, collaborating with Technical specialists and Business Development teams.</li><li>Develop technical content, reference implementations, and presentations to enable customers fully leverage AI/ML and Generative AI on Azure/AWS.</li><li>Develop and execute strategic roadmaps for LLM-based solutions, including RAG (Retrieval- Augmented Generation), Agentic RAG, and Agent-driven workflows.</li><li>Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions.</li></ul>Skill Set Required:<ul><li>Proficiency in LangGraph, LangChain for agentic workflows.</li><li>Deep Technical Experience across the AI spectrum from traditional ML and deep learning to Generative AI and Agentic AI.</li><li>Hands-on experience with autonomous agent frameworks and developing multi-agent systems.</li><li>Must have experience with AWS or Azure (LLM hosting, GPU-based inference, cost optimization).</li><li>Mentoring team members for career progression & upskilling to drive better solution outcomes.</li><li>Excellent Communication, presentation & storytelling skills.</li><li>Experience managing large-scale AI projects leveraging LLMs.</li><li>Understanding of Governance frameworks (e.g., AI Ethics, Explainability, Risk Mitigation).</li></ul>What is in it for you:<ul><li>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.</li><li>Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.</li><li>Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.</li><li>Access to state-of-the-art GPU infrastructure on the cloud and on-premise.</li><li>Be part of the fastest-growing AI-first digital transformation and engineering company in the world</li></ul><div><div><div><div><div><div><div>If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div></div></div></div></div></div></div>

Architect - Machine Learning

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