Introduction The founding of Metropolitan dates to as early as 1898 and Momentum traces its roots to being established in 1966. Momentum Group was formed from the merger of Metropolitan and Momentum, two sizeable and diverse insurance-based financial services companies in South Africa and was listed on the Johannesburg Stock Exchange on 1 December 2010.

In order to grow its international footprint and diversify its revenue streams, Momentum Group actively pursues financially viable opportunities across the world. Aditya Birla Health Insurance Company Limited, a joint venture with Aditya Birla Capital Limited, was incorporated in 2015 and was our first expansion into India.

Having experienced India first-hand as a hub of both talent and opportunity, we set up Momentum Services in 2017, a wholly-owned Mumbai-based global in-house centre to leverage IT, ITES and Business support services to all our businesses worldwide.

Role Purpose

Define, govern and evolve the organisation's Enterprise AI Architecture strategy,

standards and roadmap. Provide architecture leadership across Artificial Intelligence,

Machine Learning, Generative AI, agentic AI, intelligent automation, cloud AI platforms and data ecosystems.

Duties & Responsibilities

KEY ACCOUNTABILITIES/KRAs/KPIs

- Own and maintain the Enterprise AI Architecture Strategy, Roadmap, Standards and Reference Architectures.
- Provide architecture leadership across GenAI, ML, LLMOps, MLOps, RAG, Vector

Databases, Embeddings, Agentic AI, Copilots and Intelligent Automation solutions.

- Assess AI use cases based on business value, data readiness, architecture fit,

security, compliance, scalability and cost effectiveness.

- Define architecture guardrails, reusable patterns and implementation standards for enterprise AI adoption.
- Guide selection and implementation of AI platforms, foundation models,



cloud AI services, vector databases, automation platforms and vendor solutions.
- Define production readiness criteria including evaluation processes, monitoring,

observability, auditability and operational support standards.

- Ensure compliance with Responsible AI, security, privacy, governance and regulatory requirements.
- Support architecture governance forums and maintain architecture decision records.
- Review solution designs and provide architecture assurance across AI initiatives.
- Drive enterprise-wide reuse of AI capabilities and minimise fragmented AI experimentation.
- Mentor architects, engineers and delivery teams on AI architecture best practices.
- Partner with business, engineering, data, cloud, cyber security, compliance and procurement teams to deliver scalable AI capabilities.
- Evaluate technology trends and emerging AI innovations to support strategic planning and continuous improvement.

Requirements

- Minimum 8-10 years of experience in Enterprise Architecture, Solution

Architecture, AI/ML Architecture, Data Architecture, Software Engineering or

Platform Architecture.

- Experience with Machine Learning, Generative AI, Intelligent Automation and

Analytics solutions.

- Experience designing cloud-based AI and data architectures across AWS, Azure or

GCP.

- Robust experience with MLOps, LLMOps, model lifecycle management,

monitoring and production support frameworks.

Competencies

Mandatory Skills

- Enterprise AI Architecture and Solution Design
- Artificial Intelligence, Machine Learning and Generative AI
- LLMOps, MLOps and Model Lifecycle Management
- Cloud Architecture (AWS, Azure and/or GCP)
- AI Security, Privacy, Prompt Security and Data Protection
- Enterprise Architecture Frameworks and Governance
- Architecture Roadmaps, Standards and Reference Architectures
- Cost, Performance and Scalability Optimization

📌 Enterprise AI Architect (Navi Mumbai)
🏢 Momentum Group
📍 Navi Mumbai