About Us:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights:
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:
- 17x 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!
Responsibilities
- Design and own end-to-end architecture for Machine Learning and Agentic AI systems in production environments.
- Build and orchestrate autonomous AI agents capable of multi-step reasoning, planning, and task execution.
- Define patterns for integrating LLMs with tools, APIs, memory, and external data sources.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and contextual reasoning systems.
- Lead the design of multi-agent systems and coordination strategies across agents.
- Ensure scalability, reliability, and performance of AI systems across real-time and batch workloads.
- Establish frameworks for agent evaluation, monitoring, observability, and continuous improvement.
- Guide model selection, fine-tuning, and integration of classical ML and deep learning models.
- Collaborate with engineering, product, and data teams to translate business requirements into AI solutions.
- Implement best practices for AI governance, safety, guardrails, and responsible AI usage.
- Mentor engineers and drive architectural standards across AI/ML initiatives.
Required Skills
- Strong expertise in Machine Learning fundamentals (supervised, unsupervised, deep learning).
- Hands-on experience building Agentic AI systems (autonomous agents, tool-using LLMs, multi-step workflows).
- Proficiency with LLM frameworks such as LangChain, LlamaIndex, or similar ecosystems.
- Solid experience with Large Language Models (LLMs), prompt engineering, and RAG architectures.
- Experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow).
- Experience designing scalable, distributed systems and deploying AI solutions on cloud platforms (AWS, GCP, or Azure).
- Understanding of MLOps / LLMOps, including CI/CD, monitoring, and model lifecycle management.
- Knowledge of AI evaluation techniques, observability, and performance optimization.
- Familiarity with AI safety, guardrails, and risk mitigation strategies.
- Strong system design, problem-solving, and technical leadership capabilities.
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