Senior ML/AI Architect

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.

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 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.

Experience Level: 10+ years of experience  

Work Location: USA (Remote)

About the Role:

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.

What Success Look Like:

• 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, toolchains, 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.

Essential Skills/Qualifications:

• 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 (LangChain, Azure AI Agents, OpenAI Agents, Amazon Bedrock Agents, etc.), Model fine-tuning, prompt engineering, and safety guardrails

• Expertise across ML infrastructure and MLOps (Kubeflow, Airflow, Vertex AI, Azure ML, Sagemaker, etc.).
  Strong background in distributed computing, microservices, vector databases, and modern data platforms.

• Hands-on experience with Python, cloud-native architectures, Kubernetes, and API-driven integration.

• Proven ability to build secure, reliable, and scalable AI solutions for large enterprises.

• Deep understanding of compliance, data security, observability, and responsible AI frameworks.

• Ability to create clear architectural documents, diagrams, and technical strategies.

Nice to haves: 

• Experience building production-grade agentic AI systems with real-world constraints.

• Experience in multi-tenant AI platforms, knowledge systems, and enterprise automation.

• Exposure to GenAI frameworks like Azure AI Studio, Amazon Bedrock, Anthropic, or OpenAI ecosystem.

• Excellent leadership, communication, and stakeholder management skills.

• Ability to operate in fast-moving environments and drive clarity amid ambiguity.

• Strong mentoring mindset and cross-functional collaboration abilities.

What We Offer:

• Join a high-growth, AI-first digital engineering and transformation company

• Work with Fortune 500 clients and cutting-edge market disruptors

• Collaborate with a talented, dynamic, and driven team

• Gain exposure to the latest technologies in AI, ML, cloud, and data engineering