AI SOLUTION ARCHITECT

Job Description

About the Role

We are looking for an experienced AI Solution Architect to design and implement scalable, secure, and business-focused AI/ML and Generative AI solutions. The role involves defining AI architecture, selecting the right technologies, and guiding teams from solution design to production deployment.

Key Responsibilities

Design end-to-end AI/ML and Generative AI architectures.
Define technical solutions based on business and client requirements.
Architect solutions using LLMs, RAG, AI Agents, NLP, and Machine Learning.
Select appropriate AI models, frameworks, cloud services, and technologies.
Design scalable, secure, reliable, and cost-effective AI solutions.
Guide AI/ML, Data Science, Software Engineering, and Cloud teams.
Define MLOps, deployment, monitoring, and integration strategies.
Create technical architecture documents, diagrams, and solution proposals.
Collaborate with stakeholders to translate business requirements into AI solutions.

Experience

2-5+years of experience in AI/ML, Solution Architecture, or related fields.
Strong experience designing and implementing enterprise-grade AI solutions.
Experience with cloud platforms and production AI deployments.
Required Skills
Strong knowledge of AI/ML, Generative AI, LLMs, RAG, and AI Agents.
Expertise in Python, APIs, Microservices, and Cloud Architecture.
Hands-on experience with AWS/Azure/GCP.
Knowledge of Vector Databases, MLOps, Docker, and Kubernetes.
Strong system design, problem-solving, communication, and stakeholder management skills.

Qualification

Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.