Senior enterprise architect - AI

Job Description: Senior Enterprise Architect – Data & AI

Company: erpOI
Location: Remote – Europe or India
Engagement: Full-time | Immediate Start

Role Overview

We are looking for a Senior, technology-agnostic Enterprise Architect with strong expertise in enterprise data architecture, AI strategy, and digital transformation. The candidate will define enterprise-wide architecture roadmaps, modern data platforms, and AI-enabled business solutions aligned with business objectives.

Key Responsibilities

Define enterprise architecture vision, principles, target-state architecture, and transformation roadmaps with a strong focus on Data & AI.
Design enterprise data architectures covering data platforms, data products, data governance, data fabric, data mesh, and real-time data integration.
Identify and architect AI, generative AI, agentic AI, and automation use cases that deliver measurable business value.
Define integration and interoperability strategies across cloud platforms, enterprise applications, APIs, and legacy systems.
Evaluate technologies and platforms independently, selecting solutions based on business value, scalability, security, and total cost of ownership.
Establish architecture governance, data management standards, AI governance, and responsible AI practices.
Collaborate with business leaders, data scientists, engineering teams, and technology partners to translate business strategy into implementable solutions.
Assess existing technology landscapes and develop pragmatic modernization and AI adoption roadmaps.

Required Skills & Experience

Extensive experience in enterprise architecture, solution architecture, or technology strategy in complex enterprise environments.
Strong expertise in data architecture, data engineering concepts, cloud data platforms, analytics, and enterprise integration.
Good understanding of AI/ML, LLMs, RAG, AI agents, vector databases, and AI solution architecture.
Experience defining enterprise data governance, metadata management, data quality, security, and privacy frameworks.
Strong understanding of cloud-native architectures, APIs, microservices, event-driven architecture, and distributed systems.
Ability to assess emerging technologies objectively without dependency on a single vendor or platform.
Excellent communication skills, executive stakeholder management, and ability to connect business outcomes with technology decisions.

Good to Have

Experience with platforms such as AWS, Microsoft Azure, Google Cloud, Databricks, Snowflake, and modern data integration tools.
Exposure to SAP landscapes, SAP BTP, SAP Datasphere, and integration of enterprise data from SAP and non-SAP systems.
Knowledge of enterprise architecture frameworks such as TOGAF, ArchiMate, or similar.
Experience with AI governance frameworks, MLOps, LLMOps, and enterprise AI operating models.
Experience in large-scale enterprise transformation, business capability mapping, and application portfolio rationalization.

Benefits:

• Flexible schedule
• Internet reimbursement
• Paid sick time
• Work from home

Experience:

• Enterprise architecture: 5 years (Required)

Work Location: Remote