Job Description
We are looking for an AI/ML Associate Architect to design, develop, and guide the implementation of scalable AI and machine learning solutions. The role combines hands-on technical expertise with solution architecture, enabling teams to build reliable, secure, and production-ready AI/ML applications.
The ideal candidate will have strong experience in machine learning, generative AI, cloud platforms, data engineering, and MLOps, along with the ability to translate business requirements into practical AI solutions.
Key Responsibilities
Design end-to-end AI/ML architectures for enterprise applications and business use cases.
Evaluate and select appropriate ML models, frameworks, cloud services, and AI technologies.
Develop and review architectures for Generative AI, LLM, NLP, computer vision, predictive analytics, and intelligent automation solutions.
Design RAG-based applications, AI agents, prompt engineering workflows, model evaluation, and LLM integration patterns.
Define data pipelines, feature engineering, model training, deployment, monitoring, and retraining strategies.
Establish MLOps/LLMOps practices covering CI/CD, model/version management, experiment tracking, observability, and governance.
Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud to design scalable AI/ML solutions.
Assess AI/ML solutions for performance, scalability, reliability, security, privacy, and cost.
Create architecture diagrams, technical design documents, PoCs, and implementation guidelines.
Collaborate with data scientists, ML engineers, software engineers, DevOps engineers, security teams, and business stakeholders.
Conduct technical reviews and provide guidance to development teams.
Identify opportunities to improve existing applications through AI/ML and GenAI capabilities.
Stay current with developments in LLMs, foundation models, AI agents, vector databases, model serving, and responsible AI.
