Quantiphi

Quantiphi

Architect ML Engineer

US MA Boston · Senior

Sponsorship not specifiedDetected 6 days ago
PythonSQLElasticsearchBigQuerySnowflakeDatabricksVector DatabasesAWSGCPCI/CDMachine LearningDeep LearningPyTorchData EngineeringNLPComputer VisionLLMsAgentic AILLMOpsMLOpsLangGraphComplianceExcelHIPAA

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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!

Responsibilities

  • 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).
  • 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.
  • Deep expertise in system integration, legacy modernization, cloud-native design, and API gateway architectures.
  • 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.
  • 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.
  • Lead pre-sales efforts, design high-impact solutions, write technical proposals, and pitch them to stakeholders.
  • Maintain active hands-on involvement (25% to 50% of time).

Requirements

  • Proven experience with Model Context Protocol (MCP), prompt engineering strategies (Chain of Thought, Tree of Thoughts), and LLM optimization (PEFT, SFT, QLoRA, DPO).
  • Experience designing end-to-end ML lifecycles (data ingestion, feature store, registry, deployment, monitoring, drift detection).
  • Proven experience designing secure, compliant architectures aligned with major enterprise regulatory frameworks (e.g., SOC 2, GDPR, ISO 27001).
  • Required Skills:

Nice to have

  • 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.
  • 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:
  • If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
  • Cambridge, MA (USA) The successful candidate will visit client sites, and travel to Cambridge/Pittsburgh will be required.

Skills

  • 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
  • Enterprise Architecture & System Design:
  • 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:
  • Hands-on experience with Agentic AI frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain).
  • Practical implementation of Vector Databases (e.g., Pinecone, Milvus, Qdrant, OpenSearch).
  • Robust MLOps & LLMOps:

Benefits

  • 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.
  • 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.
  • You will design enterprise-grade, highly scalable, and secure AI/ML platforms that span Generative AI, Agentic systems, traditional ML, and Computer Vision.

Company info

  • Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
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This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.