Job Description

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

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Location: India (Offshore)

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Experience: 17+ Years

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Employment Type: Full Time

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Role Overview

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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.

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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.

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Key Responsibilities

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? Enterprise & Strategic Architecture

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- Define end-to-end enterprise architecture across Experience, Data, GenAI/DS, and Application layers.
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- Own architecture blueprints for multi-stream programs (Digital + Data Science + AI Engineering).
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- Present and defend architecture decisions in Architecture Review Board (ARB) forums.
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- Ensure alignment with enterprise standards, security policies, and integration guidelines.
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- Provide strategic technology direction aligned to business transformation goals.
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? AI & Data Architecture

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- Architect enterprise-grade GenAI/ML platforms (RAG, semantic search, copilots, AI agents).
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- Design LLM integration strategies, vector search patterns, model orchestration, and LLMOps.
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- Establish data pipelines for structured and unstructured data ingestion.
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- Define data governance, PII handling, compliance, and model observability frameworks.
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- Architect evaluation pipelines for LLM accuracy, toxicity, hallucination, and drift detection.
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? Application & Platform Architecture

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- Design scalable microservices and API-first architectures.
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- Apply Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).
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- Define integration patterns across enterprise systems.
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- Ensure high availability, resiliency, and performance optimization.
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- Establish multi-cloud and hybrid deployment strategies (Azure + AWS).
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? Engineering & Delivery Governance

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- Lead CI/CD architecture (ArgoCD, automated quality gates, security scans).
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- Define branching strategies and DevSecOps practices.
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- Establish monitoring and observability (ELK, Dynatrace, Grafana).
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- Partner with DevOps/SRE teams for IaC-driven infrastructure provisioning.
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- Drive architecture reviews, design sign-offs, and cross-stream technical alignment.
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? Thought Leadership & Capability Building

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- Act as a platform thought leader across enterprise stakeholders.
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- Mentor architects and senior engineers.
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- Influence roadmap decisions with innovation-first thinking.
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- Drive reusable platform constructs and accelerators.
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Required Experience & Skills

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- 17+ years in enterprise architecture and large-scale application platforms.
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- Experience architecting enterprise GenAI solutions (RAG, AI agents, semantic search, LLM integration).
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- Strong background in Data Architecture + Application Architecture convergence.
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- Deep expertise in cloud-native architecture (Azure, AWS).
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- Hands-on understanding of microservices, APIs, Kubernetes, and event streaming (Kafka).
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- Experience presenting in ARB / Enterprise Governance forums.
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- Solid stakeholder communication and executive articulation skills.
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- Proven ability to operate in strategic, cross-functional environments.
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- Experience working on varierty of design patterns with knowledge on System design, Evolutionary architecture to achieve highly performant, scalable systems.
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- 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.
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📌 Solution Architect (Bengaluru)
🏢 Tredence
📍 Bengaluru