Quantiphi is looking for a Senior ML/AI Architect to lead the architecture, design, and implementation of enterprise-grade Agentic AI solutions. We are a company where a global and diverse culture is the heart of our success, built on transparency, diversity, integrity, learning, and growth.
What You'll Do
- 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.
What We're Looking For
- 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.
- Strong experience with workflow orchestration (LangChain, Azure AI Agents, OpenAI Agents, Amazon Bedrock Agents, etc.).
- Strong experience with 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 Have
- 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.
Technical Stack
- Python, Kubernetes, Kubeflow, Airflow
- Vertex AI, Azure ML, Sagemaker
- LangChain, Azure AI Agents, OpenAI Agents, Amazon Bedrock Agents
Team & Environment
Collaborate with a talented, dynamic, and driven team. Guide data scientists, ML engineers, and developers.
Benefits & Compensation
- Join a high-growth, AI-first digital engineering and transformation company.
- Work with Fortune 500 clients and cutting-edge market disruptors.
- Gain exposure to the latest technologies in AI, ML, cloud, and data engineering.
Work Mode
This is a local-country position. The location for this role is USA.
Quantiphi is an equal opportunity employer.
