Role & responsibilities

1. AI & Data Architecture

- Design end-to-end enterprise architectures covering AI, GenAI, ML, Data Engineering and Data Science.
• Architect LLM, RAG, Agentic AI, AI Copilots and intelligent automation solutions.
• Define architectures connecting enterprise data, AI models, applications, APIs and business workflows.
• Design scalable data platforms and AI platforms supporting production workloads.
• Define technology choices across cloud, data, AI and application layers.
• Establish architecture standards, reference architectures and technology patterns.

2. Generative AI & Emerging Technologies

- Develop enterprise GenAI strategies and solution architectures.
• Architect solutions using LLMs, RAG, vector databases, knowledge graphs and AI agents.
• Evaluate commercial and open-source foundation models.
• Define strategies for model selection, fine-tuning, prompt engineering, embeddings and model evaluation.
• Identify emerging AI technologies and assess their relevance to enterprise clients.
• Develop reusable GenAI accelerators and frameworks for the MBS AI Studio.

3. Data Engineering

- Define up-to-date data engineering architectures supporting AI and analytics.
• Architect data lakes, lakehouses, data warehouses and real-time data platforms.
• Design data ingestion, transformation, integration and processing pipelines.
• Define architectures for structured,



semi-structured and unstructured data.
• Work with Data Engineers to establish scalable and reliable data pipelines.
• Integrate enterprise data platforms with AI/ML and GenAI workloads.

4. Practice Development

A significant part of this role will be building and scaling the AI, Data Engineering & Data Science practice at MBS Global.

Responsibilities will include:

- Define the practice vision, capability roadmap and technology strategy.
• Build a portfolio of AI, Data Engineering and Data Science offerings.
• Develop industry-specific AI solutions and accelerators.
• Create reusable reference architectures, frameworks, methodologies and IP.
• Establish AI/GenAI solution blueprints that can be replicated across clients.
• Identify strategic technology partnerships with hyperscales, AI platforms and data technology providers.
• Define competency frameworks and technical career paths.
• Help recruit, mentor and develop AI Architects, ML Engineers, Data Engineers and Data Scientists.
• Build communities of practice and technical centers of excellence.
• Establish delivery standards, architecture governance and quality frameworks.
• Develop case studies and thought leadership for the AI Studio.

5. Presales

The candidate will work closely with MBS Globals sales and leadership teams to develop new AI and data-led business.

📌 AI Architect (Bengaluru)
🏢 Modern Ballistic
📍 Bengaluru