Quantiphi
Technical Architect - ML - GenAI
USA - Remote · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
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.