BENGALURU · FULLTIME
Data Engineering AI Architect
Infosys
Bengaluru · onsite · Posted 44d ago
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Undisclosed8–13 yrsfulltimeBengaluru
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Section · 01
About this role
Educational Requirements
Bachelor of Engineering
Service Line Infosys Quality Engineering
Responsibilities - Data Architecture for AI: Architect AI data foundations including ingestion, transformation, enrichment, and serving layers
- Design data architectures supporting RAG, embeddings, feature stores, and training data pipelines
- Define standards for data quality, lineage, versioning, and governance for AI workloads
- Ensure data platforms support scalability, performance, and low latency AI use cases
- Data Quality Assurance: Architect data validation and testing frameworks for AI and analytics systems
- Enable automated validation for data correctness, drift, bias, and completeness
- Define test strategies for data migration, data transformation, and AI readiness
- Collaborate with QE teams to embed data assurance into pipelines and platforms
- Platform Integration: Integrate data platforms with AI services and analytics tools
- Define secure access patterns for data used in training, inference, and evaluation
- Enable observability for data pipelines and AI data consumption
- Guide teams on best practices for AI enabled BI and data driven systems
- Core Platforms, Frameworks Tooling: LLM and foundation model platforms (e.g., AWS Bedrock, Azure OpenAI, Vertex AI)
- Agentic AI and orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, Google ADK or equivalent)
- CI/CD and MLOps tooling for AI pipelines (GitHub Actions, Azure DevOps, Jenkins)
- Data ingestion and processing platforms (Spark, Kafka, cloud native ETL/ELT frameworks)
- Data quality and validation frameworks (Great Expectations, Amazon Deequ, custom reconciliation frameworks)
- Feature stores and embedding pipelines (Feast, embedding generation pipelines, vector databases)
- Data drift, bias, and consistency monitoring tools (Evidently, statistical data quality monitors)
- Metadata, lineage, and governance platforms (DataHub, Apache Atlas, cloud data catalogs)
- AI enabled analytics and Generative BI platforms (Power BI with Copilot, semantic layers, NLQ enabled BI)
- Cloud native data platforms and storage (object storage, distributed query engines, data lakehouses)
- Client Orientation Leadership: Partner with product and engineering teams to identify Data for AI opportunities and shape roadmaps
- Support client workshops, RFPs, and solution presentations
- Mentor engineers on AI/ML/Gen AI best practices and emerging technologies
- Translate complex AI concepts into business-friendly narratives
- Must Have Qualifications: 13+ years of experience in software engineering with 3+ years in AI with strong architecture ownership
- Strong expertise in data engineering, data quality, and data governance
- Experience supporting AI use cases such as RAG, feature engineering, and model training
- Proficiency with data platforms, cloud services, and distributed data systems
- Solid understanding of QE practices related to data validation and testing
- Experience with Generative BI or AI assisted analytics
- Knowledge of metadata management, lineage tools, and data observability
- Exposure to AI ethics and bias in data sets
- Cloud data certifications
- Technology->Architecture->Architecture - ALL
- Technology->ETL Data Quality->IBM Infosphere Datastage->IBM Infosphere Datastage - Datastage
- Technology->Data Management->Data Architecture->Data Architecture - Metadata Management
- Technology->Enterprise Architecture->Digital Architecture
- Technology->AI-AI Engineering->AI/ML Solution Architecture and Design
- Technology->Data Engineering->Databricks
- Technology->AI-Data science->Databricks Machine Learning
- Technology->AI-AI Engineering->Databricks AI Engineering Services
- Technology->AI-AI Engineering->LLMOps
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Section · 02
Skills
InformaticaApache SparkHivedata architectureamazon web servicesERwinApache HadoopOracle DBData EngineeringPythonTableauPLSQLSQLData WarehousingETLMicrosoft AzureData ModelingBusiness IntelligenceSQL ServerBig DataMachine Learning
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
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