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](https://himalayas.app/companies/quantiphi-com)! ### 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__!_ Originally posted on [Himalayas](https://himalayas.app)