Tredence - 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.