Technical Architect - ML - GenAI

Quantiphi, Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Quantiphi, Inc. is seeking a GenAI Architect (AWS) to design scalable enterprise GenAI solutions using Bedrock, AgentCore, and RAG pipelines. You will lead architecture, guide teams, and contribute to development for high-performance, cost-efficient AI systems.

The role emphasizes hands-on engineering, model evaluation, and collaboration with data, platform, and application teams to deliver secure, scalable AI-powered applications in a remote US setting.

Qualifications

• 8+ years of hands-on experience in cloud ML on AWS.
• Hands-on AWS services experience.
• Experience with AWS SageMaker and Bedrock.
• Design agentic AI architectures with LangChain/Strand Agents.
• Experience with Amazon AgentCore for production AI apps.
• Architect and deploy scalable AI solutions on AWS (Lambda, Bedrock, Step Functions).
• Proficiency with LLM APIs and multi-model orchestration.
• Hands-on fine-tuning/optimizing LLMs.

Responsibilities

• Design GenAI solutions using AWS Bedrock and Agentcore.
• Define architectures for LLM-based apps, including RAG pipelines and workflows.
• Develop agentic AI workflows for multi-step reasoning and tool usage.
• Build and manage RAG pipelines with embeddings and vector databases.
• Integrate LLM capabilities into enterprise apps via APIs and backends.
• Optimize prompts for accuracy, relevance and performance.
• Collaborate with cross-functional teams for end-to-end delivery.
• Establish security, governance and responsible AI practices.

Skills

Cloud ML experience

AWS expertise

LLM integration

RAG pipelines

AgentCore experience

LangChain/Agent frameworks

Vector databases

Model evaluation

Tools

AWS Bedrock

SageMaker

Lambda

Step Functions

S3

API Gateway

LangChain

AgentCore

SageMaker Pipelines

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Gen AI Architect (AWS) Experience Level: 8+ Years Work location: Remote (US)

Job Overview

We are looking for a Generative AI Architect / Lead to design and deliver enterprise-grade GenAI solutions using AWS Bedrock and Agentcore. This role focuses on building scalable applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI workflows. 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.

Key Responsibilities

• Design and implement GenAI solutions using AWS Bedrock and Agentcore
• Define architecture for LLM-based applications, including RAG pipelines and agentic workflows
• 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
• Integrate LLM capabilities into enterprise applications via APIs and backend services
• Design and optimize prompt engineering strategies for accuracy, relevance, and performance
• Work with structured and unstructured data sources to enable knowledge-driven AI applications
• Ensure model evaluation, monitoring, and optimization for latency, cost, and response quality
• Collaborate with application, data, and platform teams for end-to-end solution delivery
• Define best practices for security, governance, and responsible AI usage
• Troubleshoot and resolve issues in production GenAI systems
• Provide technical leadership and mentor team members while remaining hands-on

Must have

• 8+ 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., enabling autonomous task planning, decision-making, and multi-step reasoning.
• Hands-on experience with Amazon AgentCore for building, deploying, and scaling production-grade agentic AI applications, including agent memory management, tool registry, and observability.
• 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), 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.
• 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.
• Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems.
• 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.
• Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models, tokenization, embeddings.

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!

Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.