Lead II - Product Architect

UST; Bengaluru; Vor Ort; INR 3.500.000 - 7.000.000; Vollzeit

Zusammenfassung

UST is seeking 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. You will bridge data architecture and AI application development to enable advanced analytics, Knowledge Graphs, GraphRAG, and LLM‑powered business solutions while ensuring governance, security, and scalability.

You will lead end‑to‑end architecture across data ingestion, modeling, knowledge graphs, AI/ML

Qualifikationen

• Bachelor's or Master's in Computer Science, Engineering, Information Technology, Data Science, or a related discipline.
• 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.
• Strong communication, stakeholder management, and leadership skills.

Aufgaben

• 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 graph databases.
• Enable GraphRAG, RAG, LLM, and advanced analytics use cases.
• Integrate graph data platforms with enterprise lakehouse and warehouse ecosystems.
• Design and implement MLOps frameworks for model deployment, monitoring, governance, and lifecycle management.
• Collaborate with business stakeholders to translate requirements into scalable AI solutions.

Kenntnisse

AI Architecture

Graph Databases

Knowledge Graphs

Data Lakes/Warehouses/Lakehouse

Python

SQL

Cloud Platforms

MLOps

GenAI

Neo4j

Ausbildung

Bachelor's or Master's in CS/Engineering

Tools

Neo4j

AWS Neptune

Databricks

Redshift

Jobbeschreibung

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees across 30+ countries, we build for boundless impact, touching billions of lives in the process. Visit us at www.ust.com.

Role Description

We’re 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.

The Opportunity

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.

Key Roles & Responsibilities

• 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 Amazon 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.

What you need

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related discipline.


• 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.


• Strong communication, stakeholder management, and leadership skills.

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


• Amazon Redshift


• Vector Search Technologies


• Metadata, Catalog, and Data Lineage Tools


• Unity Catalog


• Advanced Analytics and Data Science Frameworks


• AI Governance and Responsible AI Practices

Qualification

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related field.


• Master's Degree preferred.


• 12+ years of overall experience in Data, Analytics, AI/ML, or Enterprise Architecture domains.


• Experience leading large‑scale enterprise transformation initiatives involving Data and AI platforms.


• Relevant Cloud, Data, AI/ML, or Graph Database certifications are highly desirable.

What we believe

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.

Humility

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity

Through business, we will better the lives of those less fortunate than ourselves.

Integrity

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.


• Comply with all Company policies and procedures.

Skills

Cloud Data Warehousing, Data Governance, Data Modeling