Quantiphi Visa Sponsorship USA
Quantiphi is an AI-first technology company with a consistent track record of sponsoring international talent across data science, machine learning, and cloud engineering. For F-1 and H-1B holders targeting the applied AI space, Quantiphi is a recognized sponsor worth pursuing.
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Get Access To All JobsAbout 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 have been recognized with:
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms.
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!
Role: Architect - Machine Learning
Experience Level: 7+ years
Employment type: Full Time
Location: Remote - USA
Description: As an Architect - Machine Learning Engineer 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.
Must have skills:
- 7+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
- Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
Natural Language Processing:
- Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models.
- Strong programming skills in Python and experience with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, or Stanford NLP.
- Strong understanding of NLP concepts: tokenization, embeddings, syntactic and semantic parsing, named entity recognition, and coreference.
Agentic AI:
- Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents, enabling autonomous task planning, decision-making, and multi-step reasoning.
- Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
- Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
- Integrate agentic workflows with LLMs (Titan, Nova, Cohere, Claude, etc.) via Bedrock, ensuring high-availability and multi-model support.
- Must have Hands-on experience fine-tuning large language models (LLM) and Generative AI (GAI), specifically LLama2.
- Familiarity with LLM tool use, prompt templating, vector stores (e.g., Opensearch, Pinecone, Elasticsearch, Bedrock KB), and context management.
- 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.
- 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.
Good to have skills:
- Experience of working for customers/workloads in the Edtech domain with use cases.
- Experience with software development.
What is in it for you:
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
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 have been recognized with:
- 3x AWS AI/ML award wins.
- 3x NVIDIA Partner of the Year titles.
- Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms.
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!
Role: Architect - Machine Learning
Experience Level: 7+ years
Employment type: Full Time
Location: Remote - USA
Description: As an Architect - Machine Learning Engineer 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.
Must have skills:
- 7+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
- Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
Natural Language Processing:
- Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models.
- Strong programming skills in Python and experience with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, or Stanford NLP.
- Strong understanding of NLP concepts: tokenization, embeddings, syntactic and semantic parsing, named entity recognition, and coreference.
Agentic AI:
- Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents, enabling autonomous task planning, decision-making, and multi-step reasoning.
- Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
- Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
- Integrate agentic workflows with LLMs (Titan, Nova, Cohere, Claude, etc.) via Bedrock, ensuring high-availability and multi-model support.
- Must have Hands-on experience fine-tuning large language models (LLM) and Generative AI (GAI), specifically LLama2.
- Familiarity with LLM tool use, prompt templating, vector stores (e.g., Opensearch, Pinecone, Elasticsearch, Bedrock KB), and context management.
- 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.
- 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.
Good to have skills:
- Experience of working for customers/workloads in the Edtech domain with use cases.
- Experience with software development.
What is in it for you:
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Job Roles at Quantiphi Companies
How to Get Visa Sponsorship in Quantiphi Visa Sponsorship USA
Target AI and data-heavy roles
Quantiphi's sponsorship activity is concentrated in technical roles tied to artificial intelligence, machine learning, and cloud infrastructure. Focusing your application on these areas gives you the strongest alignment with where the company actively hires international talent.
Understand the H-1B lottery timeline
H-1B registrations open in March for an October 1 start date. If you're targeting Quantiphi for H-1B sponsorship, align your offer and onboarding conversations with that window well in advance to avoid gaps in work authorization.
Highlight applied technical skills in your application
Quantiphi works with clients across healthcare, financial services, and media on AI-driven projects. Demonstrating hands-on experience with specific tools, frameworks, or industry verticals makes your profile stand out in a competitive technical hiring pool.
Verify sponsorship history before applying
Not every job posting at a tech company reflects real sponsorship willingness. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm Quantiphi's track record before investing time in the application process.
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Get Access To All JobsFrequently Asked Questions
Does Quantiphi sponsor H-1B visas?
Yes, Quantiphi sponsors H-1B visas and has an established history of doing so for technical roles. The company's focus on AI, machine learning, and cloud solutions means most sponsored positions fall within engineering and data science functions. If you're targeting H-1B sponsorship, roles in these departments represent your strongest path in.
What visa types does Quantiphi sponsor?
Quantiphi sponsors H-1B visas and supports F-1 OPT and CPT for students and recent graduates. The company also sponsors TN visas for eligible Canadian and Mexican nationals. This range of visa types makes Quantiphi accessible to international talent at multiple career and immigration stages.
Which roles at Quantiphi are most likely to receive visa sponsorship?
Sponsorship at Quantiphi is concentrated in technical positions across artificial intelligence, data science, machine learning engineering, and cloud architecture. Client-facing consulting roles with deep technical specialization are also commonly sponsored. Roles that require domain-specific expertise and advanced degrees tend to have the clearest path to H-1B support.
How do I find open visa-sponsored jobs at Quantiphi?
Migrate Mate lists verified visa-sponsoring employers including Quantiphi, allowing you to filter by company and visa type in one place. This removes the guesswork of determining whether a company will sponsor before you apply. Browse Quantiphi's open roles on Migrate Mate to find positions aligned with your visa category and technical background.
How do I time my application to Quantiphi around the H-1B lottery?
The H-1B lottery registration window typically opens in early March, with a start date of October 1 for approved petitions. To meet this timeline, most employers need to have your offer finalized well before March. If you're interviewing with Quantiphi in late fall or winter, communicate your H-1B needs early so the company can prepare the necessary petition filings without delays.
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