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Tredence Analytics Solutions - Enterprise Architect

Tredence Analytics Solutions Private Limited
17 - 20 Years
Bangalore

Posted on: 25/03/2026

Job Description

Description :


Job Title : Enterprise 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.


- Strong 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.


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