Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Description:
- We are seeking an experienced AI Architect to design, build, and deploy enterprise-scale AI and LLM solutions.
- This role requires a hands-on technical leader who can architect end-to-end AI/ML platforms, develop production-grade applications, and implement advanced agentic workflows using AWS Agent Core.
- The ideal candidate will combine deep expertise in AI engineering, cloud infrastructure, and software development with the ability to mentor teams and establish best practices for scalable AI delivery.
- Key Responsibilities Design and implement end-to-end AI/ML architectures and develop production-ready solutions using modern AI frameworks and cloud-native technologies.
- Architect, provision, and manage secure, scalable, and resilient AI infrastructure on AWS using Terraform and Infrastructure as Code principles.
- Build, optimize, and deploy advanced multi-agent systems and orchestration frameworks leveraging AWS Agent Core, Amazon Bedrock Agents, and Knowledge Bases.
- Develop and maintain robust data, model, and inference pipelines that integrate LLMs, vector databases, and enterprise applications.
- Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases.
- Establish and drive best practices across AI Engineering, MLOps, and LLMOps to ensure scalable, reliable, and governed AI deployments.
- Provide technical leadership, mentor engineering teams, and collaborate with business and technology stakeholders to deliver AI initiatives successfully.
- Required Skills & Qualifications Strong experience designing and deploying AI/ML and Generative AI solutions from proof of concept through production implementation.
Skills
AWS
MLOps
Generative AI
LLM
Terraform
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