Quantiphi

Quantiphi

Technical Architect - ML - GenAI

USA - Remote · Senior

Sponsorship not specifiedDetected 1 day ago
Backend DevelopmentVector DatabasesAWSCI/CDMachine LearningDeep LearningAirflowNLPLLMsRAGAgentic AIAI OrchestrationExcelLeadershipCommunication

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • The ideal candidate will be a hands-on architect who can define solution architecture, guide teams, and actively contribute to development while ensuring performance, scalability, and cost efficiency.

Responsibilities

  • Design and implement GenAI solutions using AWS Bedrock and Agentcore
  • Develop and orchestrate agentic AI workflows, enabling multi-step reasoning, tool usage, and task automation
  • Build and manage RAG pipelines, including embeddings, retrieval mechanisms, and vector databases
  • Design and optimize prompt engineering strategies for accuracy, relevance, and performance
  • Collaborate with application, data, and platform teams for end-to-end solution delivery
  • 8+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.

Requirements

  • Proven experience using AWS Sagemaker and Bedrock leveraging different types of data sources, Training jobs, real-time and batch applications.
  • Hands-on experience with Amazon AgentCore for building, deploying, and scaling production-grade agentic AI applications, including agent memory management, tool registry, and observability.
  • 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.
  • 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

Nice to have

  • 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.
  • If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.