[Hiring] AI Architect @Inficare Technologies

Role Description

The AI Architect is responsible for defining, designing, and governing end-to-end AI and GenAI solutions that are scalable, secure, and aligned with business strategy. This role bridges business needs, data engineering, ML engineering, and cloud platforms to deliver production-grade AI systems across the enterprise.

Qualifications

• Strong experience in AI architecture, machine learning, and deep learning concepts.
• Hands-on knowledge of Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with GenAI and LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, open-source models).
• Expertise in MLOps tools and practices (CI/CD, model registries, monitoring).
• Experience with data platforms (Data Lakes, Snowflake, BigQuery, Databricks).
• Knowledge of API-based AI integration, MCP, microservices, and event-driven architectures.

Requirements

• Strong experience with at least one major cloud platform: Azure, AWS, or GCP.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Understanding of infrastructure-as-code and DevSecOps practices.
• 8-12+ years of overall IT experience, with 3-5+ years in AI/ML solution or platform architecture roles.
• Proven experience delivering AI solutions into production at scale.