Senior ML/AI Architect

Quantiphi

12d•Remote

About The Position

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.

Requirements

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.

Responsibilities

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.

Benefits

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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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