Artificial Intelligence Architect (Hyderabad)

Artificial Intelligence Architect (Hyderabad)

30 Sep
|
Datagaps
|
Hyderabad

30 Sep

Datagaps

Hyderabad

AI Lead / AI Architect JD

Position: AI Lead / AI Architect

Experience: 10+ Years

Location: Hyderabad

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.

Automated Data Lineage Extractor for Legacy Code
- Extraction of lineage from legacy ETL systems (Informatica, DataStage, Ab Initio, PL/SQL, COBOL, SSIS, etc.).
- AI/NLP-based parsing of source code and SQL scripts.
- Automatic source-to-target mapping generation.
- Metadata extraction and lineage visualization.

Additional Preferred Enterprise AI Projects
- Natural Language to SQL
- Intelligent Data Quality Monitoring
- AI-powered Metadata Management
- Automated Test Case Generation using AI
- Data Catalog & Governance Automation
- AI Copilot for Data Engineers
- AI-based Impact Analysis Platform
- Enterprise Knowledge Assistant using RAG

Responsibilities
- Define AI and Data Architecture strategy.
- Lead end-to-end design of AI-powered enterprise solutions.
- Drive implementation of GenAI, RAG, NLP, and ML initiatives.
- Collaborate with business, data, and engineering teams.
- Build scalable AI platforms and reusable frameworks.
- Establish AI governance, security, and responsible AI practices.
- Mentor architects, leads, and development teams.
- Conduct architecture reviews and technology evaluations.
- Engage with clients and provide technical leadership.

Preferred Qualifications
- Bachelor's/Master's in Computer Science, AI, Data Science, or related field.
- Certifications in Azure AI, AWS AI/ML, Databricks, Snowflake, or Cloud technologies.
- Experience leading enterprise-scale AI transformation programs.
- Strong stakeholder management and client-facing experience.

📌 Artificial Intelligence Architect (Hyderabad)
🏢 Datagaps
📍 Hyderabad

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