Architect - Machine Learning

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