Technical Architect - ML - GenAI

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 !