We are looking for an experienced AI Solution Architect to design, lead, and deliver end-to-end AI/ML solutions for enterprise-scale applications.

The ideal candidate will work closely with business stakeholders, data scientists, and engineering teams to translate business requirements into scalable AI architectures.

Key Responsibilities :

- Design and architect AI/ML solutions aligned with business objectives.

- Lead end-to-end AI solutioning, from requirement gathering to deployment.

- Define architecture for ML pipelines, data ingestion, model training, and inference.

- Collaborate with cross-functional teams including Data Science, Engineering, and Product.

- Evaluate and recommend AI platforms, tools, and cloud services.

- Ensure scalability, performance, security, and governance of AI systems.

- Provide technical leadership, mentoring, and best practices.

Required Skills & Experience :

- 10+ years of overall IT experience with strong architecture background.

- Proven experience as an AI / ML Solution Architect.

- Strong knowledge of Machine Learning, Deep Learning, NLP, Computer Vision.

- Hands-on experience with Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.

- Experience with cloud platforms (AWS / Azure / GCP) and AI services.

- Strong understanding of data architecture, APIs, and microservices.

- Experience working in hybrid / client-facing environments.

Good to Have :

- Experience with MLOps and CI/CD for ML models.

- Knowledge of GenAI, LLMs, and prompt engineering.

- Exposure to enterprise or industry-scale AI use cases.