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: - 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: Website or LinkedIn Page . Responsibilities: - Define and design comprehensive end-to-end architecture for production-grade multi-agent systems that are reliable, well-governed and compliant with industry standards. - Establish architectural standards, patterns and best practices for multi-agent deployments. - Create technical roadmaps and architecture blue prints for enterprise-grade agentic solutions. - Standardize proof-of-concept Agent codebases into robust, scalable, production-ready solutions. - Establish testing frameworks for multi-agent system validation. - Design and implement robust deployment pipelines on AWS/Azure cloud platforms. - Ensure scalability, reliability and performance of multi-agent systems in production. - Establish monitoring, logging and alerting systems for production environments. - Implement security protocols and compliance measures for enterprise deployments. - Conduct risk assessments and develop mitigation strategies for production systems. - Ensure adherence to data privacy and regulatory requirements. - Conduct Technical Reviews and ensure code quality across all development phases. - Guide development teams on orchestration patterns, error handling, CI/CD readiness, and scalability. - Help customers with creating sustainable, enterprise-grade AI architectures that deliver measurable business value. - Serve as an advisory consultant to customers on their AI transformation Journey, collaborating with Technical specialists and Business Development teams. - Develop technical content, reference implementations, and presentations to enable customers fully leverage AI/ML and Generative AI on Azure/AWS. - Develop and execute strategic roadmaps for LLM-based solutions, including RAG (Retrieval- Augmented Generation), Agentic RAG, and Agent-driven workflows. - Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions. Skill Set Required: - Proficiency in LangGraph, LangChain for agentic workflows. - Deep Technical Experience across the AI spectrum from traditional ML and deep learning to Generative AI and Agentic AI. - Hands-on experience with autonomous agent frameworks and developing multi-agent systems. - Must have experience with AWS or Azure (LLM hosting, GPU-based inference, cost optimization). - Mentoring team members for career progression & upskilling to drive better solution outcomes. - Excellent Communication, presentation & storytelling skills. - Experience managing large-scale AI projects leveraging LLMs. - Understanding of Governance frameworks (e.g., AI Ethics, Explainability, Risk Mitigation). 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*!*