AI Lead/AI Architect
- Compensation
- Not disclosed
- Location
- India
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Full time
- Experience
- 8+ years
- Category
- Architecture
- Posted
Skills
Full description
AI Lead / AI Architect JD:Position: AI Lead / AI Architect
Experience: 8+ Years
Total Experience: 8-13 years
Location: India / Hybrid
Employment Type: Full-Time
Job Summary:
We are looking for an experienced AI Lead / AI Architect with a strong background in designing and delivering complex AI-driven data engineering solutions. The ideal candidate must have hands-on experience building enterprise-scale platforms such as Self-Healing ETL Pipelines, Automated Data Lineage Extraction for Legacy Systems, Intelligent Data Quality frameworks, NLP-based automation, and Generative AI solutions, NL to SQL. The candidate should be capable of leading architecture discussions, engaging with business stakeholders, mentoring teams, and driving AI innovation across data platforms.
Required Skills:AI & Machine Learning:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Generative AI
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- NLP (Natural Language Processing)
- Prompt Engineering
- AI Agents & Autonomous Workflows
Data Engineering:
- ETL/ELT Architecture
- Databricks
- Snowflake
- Data Warehousing
- Data Lakehouse Architecture
- Apache Spark
- Data Governance
- Data Quality Frameworks
Programming:
- Python
- SQL
- PySpark
- REST APIs
- Microservices Architecture
Cloud Platforms:
- Azure / AWS / GCP
- Azure OpenAI / OpenAI Services
- Cloud-native AI Solutions
Mandatory Complex Project Experience:
The candidate should have successfully designed or delivered one or more of the following:
Self-Healing ETL Pipelines:
- AI-driven ETL monitoring and anomaly detection.
- Automated root cause analysis.
- Self-correcting data pipeline failures.
- Predictive failure detection and remediation.