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Pioneering AI-first solutions, solving complex business challenges through expertise, cloud, data engineering, and AI.
Principal Architect – GenAI
Location
Canada
Posted
5 days ago
Salary
0
Seniority
Lead
Job Description
Principal Architect – GenAI
Quantiphi
• 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.
Job Requirements
- 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.
- Hands-on experience with Amazon AgentCore for building, deploying, and scaling production-grade agentic AI applications.
- 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).
- 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.
- Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities.
- Develop and maintain Model Context Protocol (MCP) implementations.
- Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow.
- 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.
- Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models, tokenization, embeddings.
- 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.
Benefits
- 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.
- Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.
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