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Tech Architecture Assoc Director

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Onsite

Tech Architecture Assoc Director

Accenture Solutions Pvt Ltd

Tech Architecture Assoc Director

Skills

RKafkaAISalesforceSAP ERPServiceNowComplianceRegulatory ComplianceRisk ManagementAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


Skill required: Tech for Operations - Artificial Intelligence (AI)

Designation: Tech Architecture Assoc Director

**Qualifications:**BE/BTech/MTech

**Years of Experience:**18 to 22 years

**Language - Ability:**English(International) - Intermediate

Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

What would you do Level 5 - RDE Technical Architect AI, Agentic & GenAI PlatformRole Type - RDE Technical Architect AI, Agentic & GenAI Platform Role Title - RDE Principal / Lead Platform ArchitectReinvention Deployment Engineering (RDE) - is an approach used by Accenture to reimagine and accelerate the delivery of engineering and R&D solutions. It focuses on combining human expertise with AI-driven agents to enhance innovation velocity, streamline processes, and reduce time to market for products and services. RDE emphasizes a value-driven mindset, where humans define objectives and ethical guardrails while AI agents handle scale, speed, and data-driven executionRole Purpose:The Principal / Lead Platform Architect will define the strategic architecture vision for enterprise AI and GenAI platforms. This role is responsible for setting architecture direction, establishing enterprise standards, governing AI platform strategy, and providing executive-level oversight across large-scale client transformations.Primary Focus - Agentic AI architecture, enterprise AI platform design, integration/data architecture, security/compliance, Responsible AI, and reusable solution blueprinting.Must Have Experience:- Lead the architecture, design, and delivery of enterprise-scale Agentic AI solutions

What are we looking for

  • Required Skills:

  • Agentic AI & Enterprise Architecture - Agent Architecture & Multi-Agent Systems, Agent Orchestration, Memory, and Context Management, Tool Integration and Enterprise AI Design, Scalable and Resilient AI Solution Architecture, AI Platform Strategy and Governance

  • Enterprise AI Platform & GenAI - Large Language Models (LLMs) and Model Strategy, RAG, Embeddings, and Vector Databases, LLM Gateway and Model Routing, AI Inference Optimization, Responsible AI and AI Governance

  • Integration & Data Architecture - Enterprise Application Integration (SAP, Salesforce, ServiceNow), API Architecture and Contract Design, Event-Driven Architecture and Kafka/MSK, Data Security and Information Architecture, Enterprise Platform Connectivity

  • Security & Compliance - OAuth, Azure AD, and Identity Management, Data Privacy and Sovereignty Controls, AI Guardrails and Risk Management, Bias Detection and Auditability, GDPR, SOX, and Regulatory Compliance

  • Enterprise Blueprinting & Standards - Reference Architecture Development, Reusable AI Solution Patterns, Platform Standards and Architecture Governance, Scalable Enterprise AI Frameworks, Technology Strategy and InnovationRequired Skills:

  • Leadership & Stakeholder Management - Executive and C-Suite Engagement, Enterprise Transformation Leadership, Strategic Planning and Roadmap Definition, Stakeholder Influence and Governance, Organization-Wide Capability Building

  • Professional Skills - Enterprise Architecture Leadership, Strategic Problem Solving, Decision Making and Risk Management, Client Advisory and Consulting, Innovation and Thought Leadership, Mentoring and Talent Development

    Roles and Responsibilities:

  • Define enterprise architecture strategy for Agentic AI and GenAI platforms.

  • Approve architecture direction and establish organization-wide technical standards.

  • Drive platform modernization and scalable AI blueprint creation.

  • Govern Responsible AI, security, privacy, compliance, and risk management frameworks.

  • Oversee enterprise integration, data architecture, platform engineering, and AI governance initiatives.

  • Guide executive stakeholders on AI platform investments and transformation roadmaps.

  • Sponsor reusable architecture frameworks that accelerate delivery across programs.

  • Provide executive-level architecture leadership across client environments and innovation programs.

    Qualification BE,BTech,MTech

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