Lead II - Product Architect

Company Name

VARITE India Private Limited

About The Client

Client is a leading digital transformation solutions provider and IT services company with over 30,000 employees across 30+ countries. Headquartered in Aliso Viejo, California, it helps Fortune 500 and Global 1000 clients with digital, cloud, AI, cybersecurity, and engineering services.

About The Job

• Client is looking for an experienced AI Architect - Data & Knowledge Graph Architecture to design and deliver enterprise-scale AI, ML, and Generative AI solutions built on modern data platforms. The ideal candidate will bridge data architecture and AI application development, enabling advanced analytics, Knowledge Graphs, GraphRAG, and LLM-powered business solutions while ensuring scalability, governance, security, and operational excellence.
• As an AI Architect, you will lead the design and implementation of AI/ML applications on top of enterprise data ecosystems, including data lakes, warehouses, and lakehouse platforms. You will define end-to-end architecture spanning data ingestion, modeling, Knowledge Graphs, AI/ML pipelines, MLOps, and GenAI applications.

Essential Job Functions

• Define and drive end-to-end architecture for AI, ML, and Generative AI solutions.
• Design and develop AI applications leveraging both structured and unstructured enterprise data.
• Architect scalable data platforms including Data Lakes, Data Warehouses, and Lakehouse architectures.
• Build and optimize data ingestion, ETL/ELT, streaming, and transformation pipelines.
• Design and implement Knowledge Graph solutions using Neo4j, AWS Neptune, or similar graph databases.
• Enable GraphRAG, RAG, LLM, and advanced analytics use cases.
• Integrate graph data platforms with enterprise lakehouse and warehouse ecosystems such as Databricks and Client Redshift.
• Design and implement MLOps frameworks for model deployment, monitoring, governance, and lifecycle management.
• Collaborate with business stakeholders, product teams, architects, and engineering teams to translate business requirements into scalable AI solutions.
• Establish data governance, security, metadata management, lineage, and quality frameworks.
• Lead architecture reviews and technology strategy discussions across AI and Data domains.
• Ensure solution scalability, reliability, observability, and performance optimization.

Qualifications

Required Skills

• AI Architecture and Machine Learning Solution Design.
• Enterprise Data Architecture.
• Data Lake, Data Warehouse, and Lakehouse Architecture.
• ETL/ELT Design and Data Pipeline Engineering.
• Python and SQL Development.
• PySpark and Distributed Data Processing.
• Apache Spark and Kafka.
• MLOps Architecture and Model Lifecycle Management.
• Generative AI, LLMs, RAG, and Vector Databases.
• Data Governance, Security, and Data Quality Frameworks.
• Data Modeling (Conceptual, Logical, and Physical).
• Relational, Dimensional, and Graph Data Modeling.
• Graph Databases (Neo4j / AWS Neptune).
• Knowledge Graph Design and Implementation.
• GraphRAG / Graph-Augmented Retrieval.
• Cloud Platforms (Azure, AWS, or GCP).
• API Design and Integration.

Desired Skills

• Ontology Design and Semantic Modeling.
• Cypher Query Language.
• RDF, OWL, and SPARQL.
• Graph Algorithms including:
• Similarity Analysis
• Community Detection
• Centrality Analysis
• Path Finding
• Databricks Lakehouse Platform.
• Client Redshift.
• Vector Search Technologies.
• Metadata, Catalog, and Data Lineage Tools.
• Unity Catalog.
• Advanced Analytics and Data Science Frameworks.
• AI Governance and Responsible AI Practices.

Education & Experience

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Master's Degree preferred.
• 12+ years of overall experience in Data, Analytics, AI/ML, or Enterprise Architecture domains.
• Extensive experience in AI/ML architecture and enterprise data architecture.
• Proven experience designing and deploying production-grade AI/ML and Generative AI solutions.
• Strong expertise in enterprise data modeling and architecture frameworks.
• Hands-on experience with graph databases and Knowledge Graph implementations.
• Experience working with cloud-native data and AI platforms.
• Experience leading large-scale enterprise transformation initiatives involving Data and AI platforms.
• Relevant Cloud, Data, AI/ML, or Graph Database certifications are highly desirable.
• Strong communication, stakeholder management, and leadership skills.

How to Apply

Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards

Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral

• 0-2 years – INR 5,000
• 2-6 years – INR 7,500
• 6+ years – INR 10,000

About VARITE

VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, Canada, and India. VARITE is currently a primary and direct vendor to leading organizations across Cloud Infrastructure, Data & AI, Software Engineering, Financial Services, Healthcare, and Digital Transformation domains.

Equal Opportunity Employer

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, disability status, or any other protected characteristic.