Senior Technical Architect – GenAI

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

Artificial Intelligence • Enterprise • Education

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• As Senior Technical Architect - GenAI 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.

🎯 Requirements

• 10+ 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. • Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents. • Develop and maintain Model Context Protocol (MCP) implementations. • Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. • Familiarity with LLM tool use, prompt templating, vector stores, and context management. • 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.

🏖️ Benefits

• 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.