AI Solutions Architect

Job Description:

Responsibilities

• Lead the architecture and design of AI/ML-powered solutions across multiple domains: NLP, Computer Vision, Predictive Analytics, and Generative AI.
• Collaborate with stakeholders to define AI-driven strategies aligned with business goals.
• Select appropriate models, frameworks, and platforms (TensorFlow, PyTorch, OpenAI, Azure AI, etc.).
• Design end-to-end AI workflows: data pipelines, model training, evaluation, deployment, and monitoring.
• Provide technical leadership and mentorship to AI developers, engineers, and data scientists.
• Ensure model performance, scalability, and maintainability through best practices.
• Integrate AI systems with APIs, microservices, and cloud infrastructure.
• Promote ethical and responsible AI use, including bias detection and governance.

Qualification & Experience

• B.E./B.Tech/M.Tech in Computer Science, Data Science, or related field.
• Certifications in AI/ML architecture or cloud AI (AWS, Azure, GCP) preferred.
• Proven experience in designing and deploying AI/ML solutions at scale.
• Deep understanding of ML lifecycle, model evaluation, and feature engineering.
• Hands-on expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of Generative AI, LLMs, LangChain, RAG, and vector databases.
• Strong experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• Data engineering and pipeline skills (Airflow, Spark, Kafka).
• Strong system architecture and integration experience (REST APIs, microservices, Docker, Kubernetes).
• Excellent communication and stakeholder management skills.
• Prior experience as ML/AI Lead or Senior Data Scientist.
• Knowledge of enterprise data governance and compliance.
• Industry expertise in retail, fintech, healthcare, or other AI-intensive sectors.
• 2-3 Years (with at least 1 year in AI/ML solution architecture),