Architect ML Engineer

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, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with: 21x 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 offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. 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 . Preferred Location: Cambridge, MA (USA) The successful candidate will visit client sites, and travel to Cambridge/Pittsburgh will be required. Experience Level: 8+ years As an Architect MLE at Quantiphi, you will be a senior technical leader responsible for governing the quality, design, and strategic direction of our most critical AI initiatives. This is a highly visible, client-facing architectural role where you will spend 25% to 50% of your time on hands-on prototyping, writing code for complex scenarios, and guiding the engineering team through technical uncertainty. You will design enterprise-grade, highly scalable, and secure AI/ML platforms that span Generative AI, Agentic systems, traditional ML, and Computer Vision. You will act as the primary technical advisor for strategic client accounts, collaborating with VPs, CTOs, and Chief AI Officers. You will establish practice-wide architectural standards, lead pre-sales solutioning and proposals, and mentor Associate Architects and senior engineers to drive technical excellence at scale. Responsibilities: Enterprise AI Architecture: Design and govern large-scale, mission-critical AI platforms meeting 99.99%+ availability, security, scalability, and compliance requirements in the healthcare and life sciences domain. Client Leadership & Solution Pitching: Act as the primary technical contact for strategic accounts. Lead pre-sales efforts, design high-impact solutions, write technical proposals, and pitch them to stakeholders. Hands-on Prototyping & Escalation: Maintain active hands-on involvement (25% to 50% of time). Build multi-agentic prototypes, design core frameworks, and step in to write production code or debug complex system issues when the team faces blockers. Generative AI & Agentic Platform Design: Architect enterprise-grade agentic systems, multi-agent platforms, autonomous workflow orchestrations, and advanced memory/context management systems leveraging the Model Context Protocol (Server, Client, Gateway). Standards & Practice Governance: Establish comprehensive LLMOps and MLOps standards (including prompt versioning, automated evaluation, CI/CD, drift detection, and production monitoring). Define reference architectures and reusable frameworks to accelerate project delivery. AI Security & Compliance: Design AI security architectures for regulated industries, ensuring strict compliance with HIPAA, HITRUST, GDPR, SOC 2, and OWASP LLM Top 10 security requirements. Mentorship & Practice Growth: Mentor Associate Technical Architects, senior engineers, and delivery teams. Conduct architectural reviews and manage technical debt across engagements. Required Skills: Must Have: Experience: 8+ years of progressive experience in AI/ML engineering, with at least 3+ years in a technical leadership or architectural role. Enterprise Architecture & System Design: Deep expertise in system integration, legacy modernization, cloud-native design, and API gateway architectures. Proven ability to visually represent complex, multi-system architectures and explain technical trade-offs with deep, structured reasoning. Advanced ML & Deep Learning Foundations: Mastery of statistical ML, deep learning base architectures (Transformers, CNNs, RNNs), and Computer Vision platforms. Proficiency in Python and frameworks such as PyTorch or TensorFlow. Generative AI & Agentic Platform Architecture: Deep understanding of the entire agent development lifecycle, multi-agent system design, and A2A (Agent-to-Agent) communication protocols. Hands-on experience with Agentic AI frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain). Proven experience with Model Context Protocol (MCP), prompt engineering strategies (Chain of Thought, Tree of Thoughts), and LLM optimization (PEFT, SFT, QLoRA, DPO). Practical implementation of Vector Databases (e.g., Pinecone, Milvus, Qdrant, OpenSearch). Robust MLOps & LLMOps: Experience designing end-to-end ML lifecycles (data ingestion, feature store, registry, deployment, monitoring, drift detection). Strong SQL and data transformation experience using BigQuery, Snowflake, Databricks, or Spark. AI Security & Regulatory Compliance: Proven experience designing secure, compliant architectures aligned with major enterprise regulatory frameworks (e.g., SOC 2, GDPR, ISO 27001). Good to Have: Cloud Expertise: Professional Cloud Architect and Machine Learning Engineer certifications on AWS or GCP. Thought Leadership: Publications, technical blogs, or conference presentations in Agentic/Generative AI or Enterprise Architecture. Behavioural Skills: Technical Reasoning & Probing: Exceptional ability to justify architectural choices, explain complex technical decisions under deep probing, and evaluate alternative tooling stacks. Stakeholder Presence: Exceptional presentation and communication skills. Proven ability to pitch proposals, influence decision-makers, and build strong relationships with key stakeholders. Willingness to Walk the Talk: A hands-on leader who leads by example, stepping in to write code, build prototypes, and guide engineers through technical uncertainty. Strategic Mentorship: Passion for coaching Associate Architects and senior engineers, establishing standards, and fostering a culture of technical excellence. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud If