Quantiphi · 1 month ago
Senior ML/AI Architect
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expQuantiphi is an award-winning Applied AI and Big Data software and services company. They are seeking a Senior ML/AI Architect to lead the architecture, design, and implementation of enterprise-grade Agentic AI solutions, ensuring they are robust, secure, and interoperable across complex environments.
Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware
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
Qualification
Required
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
Preferred
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
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
Company
Quantiphi
Quantiphi is a digital engineering company that provides data science and machine learning software and services.
1001-5000 employees
H1B Sponsorship
Quantiphi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)
Funding
Current Stage
Late StageTotal Funding
$23.41MKey Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M
Leadership Team
Asif Hasan
Co-Founder
Ritesh Patel
Co-Founder
Recent News
2025-12-05
Company data provided by crunchbase