- Posted 19 days ago
- Be among the first 10 applicants
Job Description
Hiring | AI & Data Architect
Location: Bangalore
Experience: 12+ Years
Key Skills: AI Architecture, Generative AI, Agentic AI, Machine Learning, Azure, Azure OpenAI, Databricks, PySpark, RAG, LLMs, Data Architecture, MLflow, MLOps
We are looking for an experienced AI & Data Architect to join our IT Services team and work on a high-impact AI project for a global manufacturing client.
This is a senior architecture role for a professional who can bridge AI strategy, data architecture, cloud platforms, and business requirements to design and deliver scalable, secure, production-ready AI solutions.
Key Responsibilities
AI Architecture & Strategy
- Partner with the AI Lead and business stakeholders to translate strategic ideas into AI architectures, technical roadmaps, and execution plans
- Evaluate incoming AI use cases and assess technical feasibility, business value, ROI, risks, and scalability
- Design end-to-end architectures for Generative AI, Agentic AI, Machine Learning, and traditional AI solutions
- Define solution architecture from PoC through production deployment
- Design enterprise solutions leveraging LLMs, RAG, Fine-Tuning, and Agentic AI frameworks
- Establish Responsible AI, security, governance, cost management, and monitoring
Data Architecture
- Design scalable data architectures supporting AI and ML workloads
- Work with Databricks, PySpark, Delta Lake, MLflow, and Unity Catalog
- Define data pipelines, integration patterns, data quality, governance, and security
- Collaborate with Data Engineering and Data Science teams to make enterprise data AI-ready
Azure & Cloud Architecture
- Design and implement AI solutions across Microsoft Azure and Databricks
- Hands-on experience with Azure OpenAI, Azure ML, Azure Functions, Azure Cosmos DB / Vector Stores
- Define cloud architecture, integration patterns, security controls, and deployment strategies
- Work with DevOps/MLOps teams on CI/CD, Docker, Kubernetes, and AI/ML monitoring
Stakeholder Management
- Act as a trusted technical advisor to business and technology stakeholders
- Communicate complex AI and data architecture concepts clearly to senior leadership
- Drive alignment across IT, Data Engineering, Security, and Business Operations
Required Skills
AI / GenAI
- Generative AI & LLMs
- RAG & Fine-Tuning
- Agentic AI
- Machine Learning & Deep Learning
- LangChain / AutoGen / CrewAI / Semantic Kernel
Azure
- Azure OpenAI Service
- Azure ML
- Azure Functions
- Azure Cosmos DB / Vector Stores
Data & Databricks
- Databricks
- PySpark
- Delta Lake
- MLflow
- Unity Catalog
- Data Architecture & Data Engineering
DevOps / MLOps
- CI/CD
- Docker
- Kubernetes
- AI/ML monitoring and deployment
Experience & Qualifications
12+ years of experience across AI, Data, Data Science, Machine Learning, Data Engineering, or Solution Architecture
Strong experience in AI & Data Architecture and enterprise solution design
3+ years of hands-on experience designing and deploying GenAI / Agentic AI solutions
Strong hands-on experience with Microsoft Azure and Databricks
Proven experience taking AI solutions from concept / PoC to production
Excellent communication, consulting, analytical, and stakeholder-management skills
Nice to Have
- Manufacturing domain experience
- Knowledge of supply chain, predictive maintenance, quality control, or plant operations
- Multi-cloud exposure
- Experience with enterprise AI governance and Responsible AI
Interested candidates can share their CV or DM me for more details.
#Hiring #AIArchitect #DataArchitect #AIDataArchitect #GenAI #ArtificialIntelligence #AgenticAI #MachineLearning #Azure #AzureOpenAI #Databricks #DataArchitecture #MLOps #LLM #RAG #TechHiring #HiringNow
More Info
Key Skills
LLMs
AI Architecture
MLflow
Azure OpenAI
CI CD
RAG
Agentic AI
Generative AI
About Company
