Job Description
Job Title: Enterprise Architect – Data & AI
Location: Bangalore
Experience: 12+ Years
Job Summary
We are seeking a seasoned Enterprise Architect – Data & AI to design and drive scalable, secure, and business-aligned data and AI architectures. This role will work closely with business leaders and cross-functional technology teams to guide enterprise-wide AI initiatives, ensure strong governance, and enable modern cloud-based data platforms.
Key Responsibilities
Architecture & Strategy
- Align enterprise data and AI architecture with business strategy, security, and compliance requirements.
- Collaborate with infrastructure, security, and application teams to define solution architectures and technology roadmaps.
- Evaluate and recommend platforms, tools, and frameworks based on scalability, performance, and cost efficiency.
- Provide architectural leadership and drive key technical decisions across multiple programs.
AI & Data Architecture
- Define and guide AI architecture, including model hosting, inference strategies, scalability, and performance optimization.
- Ensure AI solutions comply with responsible AI principles, data privacy, and ethical standards.
- Enable seamless integration of AI and data solutions into existing enterprise systems and business workflows.
Cloud & Platform Expertise
- Design and implement cloud-based data and AI solutions using Azure, AWS, or GCP, with a strong focus on native AI and data services.
- Drive adoption of DevOps / MLOps practices, CI/CD pipelines, and automation best practices across teams.
Governance & Security
- Establish and enforce architecture governance, design reviews, and design assurance practices.
- Embed security, privacy, and compliance controls (IAM, data protection, regulatory standards) into data and AI architectures.
Technical & Professional Skills
- Strong foundation in enterprise and IT architecture frameworks such as TOGAF or equivalent.
- Solid understanding of AI/ML concepts, including ML models, NLP, Generative AI, model training, and inference.
- Deep expertise in data architectures, including ETL, data pipelines, feature stores, data lakes, and analytics platforms.
- Hands-on experience with APIs, microservices, and enterprise integration patterns.
- Excellent ability to translate business requirements into scalable technical architectures.
- Strong stakeholder communication skills across technical and non-technical audiences.
Location: Bangalore
Experience: 12+ Years
Job Summary
We are seeking a seasoned Enterprise Architect – Data & AI to design and drive scalable, secure, and business-aligned data and AI architectures. This role will work closely with business leaders and cross-functional technology teams to guide enterprise-wide AI initiatives, ensure strong governance, and enable modern cloud-based data platforms.
Key Responsibilities
Architecture & Strategy
- Align enterprise data and AI architecture with business strategy, security, and compliance requirements.
- Collaborate with infrastructure, security, and application teams to define solution architectures and technology roadmaps.
- Evaluate and recommend platforms, tools, and frameworks based on scalability, performance, and cost efficiency.
- Provide architectural leadership and drive key technical decisions across multiple programs.
AI & Data Architecture
- Define and guide AI architecture, including model hosting, inference strategies, scalability, and performance optimization.
- Ensure AI solutions comply with responsible AI principles, data privacy, and ethical standards.
- Enable seamless integration of AI and data solutions into existing enterprise systems and business workflows.
Cloud & Platform Expertise
- Design and implement cloud-based data and AI solutions using Azure, AWS, or GCP, with a strong focus on native AI and data services.
- Drive adoption of DevOps / MLOps practices, CI/CD pipelines, and automation best practices across teams.
Governance & Security
- Establish and enforce architecture governance, design reviews, and design assurance practices.
- Embed security, privacy, and compliance controls (IAM, data protection, regulatory standards) into data and AI architectures.
Technical & Professional Skills
- Strong foundation in enterprise and IT architecture frameworks such as TOGAF or equivalent.
- Solid understanding of AI/ML concepts, including ML models, NLP, Generative AI, model training, and inference.
- Deep expertise in data architectures, including ETL, data pipelines, feature stores, data lakes, and analytics platforms.
- Hands-on experience with APIs, microservices, and enterprise integration patterns.
- Excellent ability to translate business requirements into scalable technical architectures.
- Strong stakeholder communication skills across technical and non-technical audiences.
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