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 global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page
Role: Principal Architect - Gen AI/Practice Lead - Gen AI
Experience Level: 10+ years
Employment type: Full Time
Location: Remote (Canada/USA)
What you will do:
As Principal Architect : Gen AI/ Practice Lead - Gen AI at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.
Basic Qualifications (BQ):
10+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
Hands-on experience on AWS services. Proven experience using AWS Sagemaker and Bedrock leveraging different types of data sources, Training jobs, real-time and batch applications.
Design and implement agentic AI architectures using frameworks such as LangChain, Strand Agents etc., enabling autonomous task planning, decision-making, and multi-step reasoning.
Hands-on experience with Amazon AgentCore for building, deploying, and scaling production-grade agentic AI applications, including agent memory management, tool registry, and observability.
Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
Proficiency in working with LLM APIs (e.g., Claude, Nova, and other third-party LLM providers), including API integration,and multi-model orchestration strategies.
Hands-on experience fine-tuning or optimizing large language models (LLM)
Familiarity with LLM tool use, prompt templating and context management.
Strong expertise in Vector Databases, including indexing strategies, embedding generation, similarity search, and integration with RAG architectures.
Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
Experience implementing secure, scalable APIs and integrating with 3rd-party data sources and tools
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models, tokenization, embeddings.
Other Qualifications (OQ):
Experience with software development, exposure to frontend backend frameworks and communication protocols
Experience working on Infrastructure as Code (IaC) and CI/CD pipelines
Experience with NLP concepts: syntactic/semantic analysis, NER etc.
What is in it for you:
Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 10+ years hands-on experience implementing and developing cloud ML solutions on AWS
- Hands-on experience with AWS Machine Learning services and AWS SageMaker (data sources, training jobs, real-time and batch inference, processing jobs)
- Experience with deep learning concepts: Transformers, BERT, Attention models
- Strong programming skills in Python
- Experience with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, or Stanford NLP
- Strong understanding of NLP concepts: tokenization, embeddings, parsing, NER, coreference
- Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents
- Architect and deploy scalable AI solutions on AWS using Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker
- Develop and maintain Model Context Protocol (MCP) implementations for state, context windows, memory, and prompt orchestration
- Integrate agentic workflows with LLMs via Bedrock (Titan, Nova, Cohere, Claude, etc.) ensuring multi-model support
- Hands-on experience fine-tuning large language models and Generative AI, specifically LLama2
- Familiarity with LLM tool use, prompt templating, vector stores (OpenSearch, Pinecone, Elasticsearch, Bedrock KB), and context management
- Model evaluation and optimization experience: zero-shot/few-shot evaluation, hyperparameter tuning, model interpretability
- Experience with at least one workflow orchestration tool: Airflow, Step Functions, SageMaker Pipelines, or Kubeflow
- Experience implementing secure, scalable APIs and integrating with third-party data sources and tools
- Ability to collaborate with Developers, QA, Project Managers, and other stakeholders
- Experience working on EdTech customer workloads and use cases
- Experience with software development
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Flexible Benefits — Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
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Healthcare Strength — U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
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Parental & Family Support — Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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