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).

- Define branching strategies and DevSecOps practices.

- Establish monitoring and observability (ELK, Dynatrace, Grafana).

- Partner with DevOps/SRE teams for IaC-driven infrastructure provisioning.

- Drive architecture reviews, design sign-offs, and cross-stream technical alignment.

5. Thought Leadership & Capability Building:

- Act as a platform thought leader across enterprise stakeholders.

- Mentor architects and senior engineers.

- Influence roadmap decisions with innovation-first thinking.

- Drive reusable platform constructs and accelerators.

Required Experience & Skills:

- 14+ years in enterprise architecture and large-scale application platforms.

- Experience architecting enterprise GenAI solutions (RAG, AI agents, semantic search, LLM integration).

- Strong background in Data Architecture + Application Architecture convergence.

- Deep expertise in cloud-native architecture (Azure, AWS).

- Hands-on understanding of microservices, APIs, Kubernetes, and event streaming (Kafka).

- Experience presenting in ARB / Enterprise Governance forums.

- Strong stakeholder communication and executive articulation skills.

- Proven ability to operate in strategic, cross-functional environments.

- Experience working on variety of design patterns with knowledge on System design, Evolutionary architecture to achieve highly performant, scalable systems.

Tech Stack: Python, Microservices, Event-Driven Architecture, Kafka, API Development, Kubernetes, Vector DB, Azure, AWS, CI/CD (ArgoCD), Monitoring (ELK, Dynatrace, Grafana), IaC (Terraform/Bicep), Generative AI, NLP, LLMs, RAG, LangGraph, Integration experience/understanding with Databricks, snowflake & similar Data source/stack.