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

Location: India (Offshore)

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

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.

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.

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).

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.

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

- 17+ 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. - Solid stakeholder communication and executive articulation skills. - Proven ability to operate in strategic, cross-functional environments. - Experience working on varierty 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.

📌 Solution Architect (Bengaluru)
🏢 Tredence
📍 Bengaluru