Senior ML​/AI Architect

About Quantiphi

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!

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.

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, we are 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.
• Top analyst recognitions from Gartner, ISG, and Everest Group.
• First‑in‑class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting‑edge Generative AI and Agentic AI accelerators.
• 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 Linked In Page.

Experience Level: 10+ years of experience

Work Location: USA (Remote)

We are seeking a highly experienced Senior ML/AI Architect who will lead the architecture, design, and implementation of enterprise‑grade Agentic AI solutions that are strategic, robust, secure, and interoperable across complex environments. This role requires deep expertise in AI/ML system design, multi‑agent orchestration, LLM‑based architectures, and scalable enterprise platforms.

• Architect and design enterprise‑scale agentic AI platforms, frameworks, and multi‑agent workflows.
• Create modular, interoperable, and future‑ready AI architectures that integrate seamlessly with existing enterprise systems.
• Lead design of LLM‑based applications, RAG systems, multi‑agent planning, and autonomous process automation.
• Establish architectural standards, design patterns, and reusable components for AI/ML workloads.
• Oversee end‑to‑end implementation of AI/ML and agentic systems, including data pipelines, model training, evaluation, and deployment.
• Work closely with engineering teams to ensure delivery of high‑performance, scalable, and cost‑optimized AI workloads.
• Provide technical leadership for model fine‑tuning, orchestration, guardrails, and inference optimization.
• Design secure, compliant, and policy‑aligned AI systems with strong guardrails, monitoring, and fallback mechanisms.
• Integrate AI agents and LLM‑driven solutions into enterprise applications, APIs, workflow engines, and automation tools.
• Define governance frameworks for model lifecycle management, reliability, safety, and performance tracking.
• Work with business and technology leaders to translate strategic goals into actionable AI roadmaps.
• Advise on platform choices, tool chains, and cloud/edge deployment patterns.
• Prepare technical documents, architectural blueprints, and decision frameworks for leadership.
• Guide data scientists, ML engineers, and developers on solution design, implementation, and best practices.
• Conduct reviews, coach teams, and ensure adherence to ML engineering and MLOps standards.

• 10–15+ years of experience in ML/AI engineering, with 4+ years in architect‑level roles.
• Strong experience designing LLM‑centric systems, including multi‑agent architectures, RAG and knowledge‑grounded reasoning, workflow orchestration (Lang Chain, Azure AI Agents, OpenAI Agents, Amazon Bedrock Agents, etc.), model…