Senior Enterprise AI Architect

Confidential Client; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Confidential Client in Bengaluru seeks an experienced Senior Enterprise AI Architect to define enterprise-wide AI strategy and architecture roadmaps. You will lead scalable AI ecosystems, governance, security, and regulatory compliance across the organization.

You will collaborate with executive leadership and engineering teams to modernize AI platforms, enable data lakehouse architectures, and advance GenAI, MLOps, and AI risk management initiatives in highly regulated industries.

Qualifications

• Experience designing enterprise AI platforms and data lakehouse architectures.
• Strong in cloud-native architectures and distributed systems.
• Proficient with AI governance, security, and regulatory compliance.
• Experience with MLOps, CI/CD, DevSecOps and enterprise integration.
• Leadership and stakeholder management experience.
• Exposure to AI compliance frameworks and ethical AI governance.

Responsibilities

• Define enterprise AI architecture strategy and roadmap.
• Lead design of scalable AI ecosystems and platforms.
• Establish AI governance, security, and operational standards.
• Architect AI integration with enterprise systems and data platforms.
• Define reference architectures for AI/ML, GenAI, and analytics workloads.
• Collaborate with executive leadership, security, and engineering teams.
• Ensure AI solutions comply with risk, privacy, and regulatory standards.
• Evaluate emerging AI technologies and adoption frameworks.
• Mentor architecture and engineering teams on AI best practices.
• Drive modernization initiatives using AI technologies.

Skills

Enterprise AI architecture

Cloud-native architecture

Distributed systems

AWS

Azure

GCP

Kubernetes

Docker

API architecture

AI governance

Security architecture

Regulatory compliance

Data governance

MLOps

DevSecOps

CI/CD

Enterprise integration

Generative AI

LLM architecture

Responsible AI

AI risk management

Databricks

Snowflake

Vector databases

Knowledge graphs

TOGAF

Data Mesh

Data lakehouse

Event-driven architecture

Tools

Databricks

Snowflake

Vector databases

Knowledge graphs

Job description

Senior Enterprise AI Architect

We are seeking an experienced Senior Enterprise AI Architect with 8–12 years of expertise in defining enterprise-wide AI strategies, scalable AI architectures, governance frameworks, and secure AI ecosystems. The ideal candidate should have deep experience in AI platform modernization, enterprise integration, cloud-native AI architecture, and regulatory compliance. This role involves leading enterprise AI transformation initiatives and defining architecture roadmaps aligned with organisational goals.

Key Responsibilities

• Define enterprise AI architecture strategy and roadmap.
• Lead design and implementation of scalable AI ecosystems and platforms.
• Establish AI governance, compliance, security, and operational standards.
• Architect AI integration with enterprise systems and data platforms.
• Define reference architectures for AI/ML, GenAI, and analytics workloads.
• Collaborate with executive leadership, security, and engineering teams.
• Ensure AI solutions align with enterprise risk, privacy, and regulatory standards.
• Evaluate emerging AI technologies and define adoption frameworks.
• Mentor architecture and engineering teams on AI best practices.
• Drive enterprise modernization initiatives using AI technologies.

Requirements

• Mandatory Skills:
• Strong expertise in enterprise AI architecture, cloud-native architecture, and distributed systems.
• Experience with AWS, Azure, GCP, Kubernetes, Docker, and API architecture.
• Strong understanding of AI governance, security architecture, regulatory compliance, and data governance.
• Knowledge of MLOps, DevSecOps, CI/CD, and enterprise integration frameworks.
• Experience designing AI platforms, data lakehouse architectures, and scalable enterprise AI systems.
• Strong stakeholder management and leadership capabilities.
• Preferred Skills:
• Expertise in Generative AI, LLM architecture, Responsible AI, and AI risk management.
• Experience with Databricks, Snowflake, vector databases, and knowledge graphs.
• Familiarity with TOGAF, Zachman, event-driven architecture, and Data Mesh.
• Exposure to AI compliance frameworks and ethical AI governance.
• Experience in BFSI, Healthcare, or highly regulated industries is preferred.

Work Arrangements

• Location: Bengaluru, Karnataka, India
• Type: Full-Time
• Remote: Not specified