Solution Architect - Digital & Data/Machine Learning Platform

Job Title: Solution Architect Digital & Data/ML platform.

Location: Bangalore.

Experience: 17+ Years.

Employment Type: Full Time.

Role Overview:

We are looking for a seasoned Enterprise Architect to lead architecture strategy and execution across large-scale, multi-stream digital programs with ML and Data at the core.

This role requires a holistic enterprise view spanning Data Architecture, GenAI/DS Architecture, and Application Development Architecture, especially in complex enterprise ecosystems where most application programs now include a GenAI component.

The architect will drive strategic direction, ARB governance alignment, enterprise integration standards, Engineering effort and thought leadership while ensuring scalable, secure, and future-ready platform architecture.

Key Responsibilities:1. Enterprise & Strategic Architecture:

• Define end-to-end enterprise architecture across Experience, Data, GenAI/DS, and Application layers.

• Own architecture blueprints for multi-stream programs (Digital + Data Science + AI Engineering).

• Present and defend architecture decisions in Architecture Review Board (ARB) forums.

• Ensure alignment with enterprise standards, security policies, and integration guidelines.

• Provide strategic technology direction aligned to business transformation goals.

2. AI & Data Architecture:

• Architect enterprise-grade GenAI/ML platforms (RAG, semantic search, copilots, AI agents).

• Design LLM integration strategies, vector search patterns, model orchestration, and LLMOps.

• Establish data pipelines for structured and unstructured data ingestion.

• Define data governance, PII handling, compliance, and model observability frameworks.

• Architect evaluation pipelines for LLM accuracy, toxicity, hallucination, and drift detection.

3. Application & Platform Architecture:

• Design scalable microservices and API-first architectures.

• Apply Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).

• Define integration patterns across enterprise systems.

• Ensure high availability, resiliency, and performance optimization.

• Establish multi-cloud and hybrid deployment strategies (Azure + AWS).

4. Engineering & Delivery Governance:

• Lead CI/CD architecture (ArgoCD, automated quality gates, security scans).