Enterprise & Semantic Architect (AI & Data Architecture Enablement)

Must Have Technical/Functional Skills

Experienced Enterprise / Semantic Architect to define and govern enterprise-level architecture, semantic

models, and ontology-driven solutions across platforms and domains. The role focuses on enabling

interoperability, data consistency, and semantic alignment across systems while supporting scalable,

standards-based enterprise architectures.



Roles & Responsibilities

· Define and maintain enterprise and semantic architecture frameworks aligned with business

strategy

· Design and govern semantic models, ontologies, and taxonomies for enterprise systems

· Enable data and system interoperability across platforms and domains

· Establish architecture standards, guidelines, and best practices

· Collaborate with business, product, and engineering teams to translate requirements into

architecture designs

· Review and guide solution designs to ensure semantic consistency and architectural compliance · Support integration, API, and data architecture initiatives with semantic alignment · Drive adoption of industry standards and reference models where applicable · Participate in architecture reviews, design discussions, and technical governance forums · Strong understanding of enterprise architecture frameworks and design principles · Hands‑on experience designing semantic models, ontologies, or controlled vocabularies · Knowledge of data modeling, metadata management, and information architecture · Experience with system integration, APIs, and data exchange patterns · Ability to work across business and technology teams to drive architectural alignment · Strong communication and documentation skills

Generic Managerial Skills, If any

Experience working in agile development projects and sprint deliver

Key Words to search in Resume

Enterprise Architect, Semantic Architect, Ontology, Taxonomy, Semantic Modeling, Data Architecture,

Interoperability, Architecture Governance


Pre-Screening Questionnaire

9 years as Enterprise / Semantic Architect

Experienced Enterprise / Semantic Architect to define and govern enterprise-level architecture, semantic

models, and ontology-driven solutions across platforms and domains. The role focuses on enabling

interoperability, data consistency, and semantic alignment across systems while supporting scalable,

standards-based enterprise architectures.


*What are Regulated Positions

"Regulated Positions” are those positions which requires TAG to recruit candidates with specific work

authorizations viz.
per MSA.

- ITAR (International Traffic in Arms Regulations).

- NERC CIP (NERC Critical Infrastructure Protection).

- NRC (Nuclear Regulatory Commission).

- Any other regulations as appropriate.

Roles & Responsibilities

· Define end-to-end AI solution architecture leveraging image, OCR AI and data platforms.

· Ensure architectural alignment with security, compliance, and enterprise data standards.

· Guide model integration, orchestration, and deployment patterns across AI and data layers.

· Evaluate extensibility of the solution to additional measures and use cases.

· Act as the technical authority bridging AI capabilities with enterprise platforms.

Generic Managerial Skills, If any

Experience working in agile development projects and sprint deliver

Role Descriptions: AI Architect Have hands-on experience as AI Architect role| should have designed end-to-end solution architecture
Essential Skills: AI AI Architect Have hands-on experience as AI Architect role| should have designed end-to-end solution architecture
Desirable Skills:
Keyword:
Skills: AI and Automation
Experience Required: 8-10