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Tech Architecture Sr Manager

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Onsite

Tech Architecture Sr Manager

Accenture

Tech Architecture Sr Manager

Skills

RKafkaAISalesforceSAP ERPServiceNowPerformance ManagementComplianceRegulatory 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 Sr Manager

**Qualifications:**BE/BTech/MTech

**Years of Experience:**15 to 18 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 6 RDE Technical Architect AI, Agentic & GenAI PlatformRole Type - RDE Technical Architect AI, Agentic & GenAI Platform Role Title - RDE Senior Technical 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 Senior Technical Architect will provide strategic architecture leadership for enterprise AI platforms and Agentic AI solutions. The role is responsible for cross-platform architecture design, security and compliance governance, and oversight of multiple AI transformation initiatives.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 AI Workflow Design, Enterprise AI Solution Architecture,Scalable and Resilient AI Platform Design

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

  • Integration & Data Architecture - SAP, Salesforce, ServiceNow, and Appian Integrations, API Architecture and Contract Design, Event-Driven Architecture and Kafka/MSK, Enterprise Data Architecture, Data Security and Integration Governance

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

  • Architecture Governance & Blueprinting - Reference Architecture Development, Reusable AI Solution Patterns, Platform Standards and Governance, Scalable Enterprise AI Frameworks, Architecture Reviews and Design Best Practice.Required Skills:

  • Leadership & Stakeholder Management - Client and Executive Stakeholder Engagement, Technology Strategy and Roadmap Planning, Solution Governance and Risk Management, Cross-Functional Team Leadership, Mentoring and Capability Development

  • Professional Skills - Strategic Problem Solving, Innovation and Thought Leadership, Communication and Presentation Skills, Decision Making and Influence, Collaboration and Organizational Leadership

    Roles and Responsibilities:

  • Lead architecture design across multiple AI and GenAI workstreams.

  • Govern platform standards for agent orchestration, memory management, model integration, and AI scalability.

  • Define integration and data architecture strategies across enterprise systems.

  • Ensure adherence to security, regulatory, Responsible AI, and compliance frameworks.

  • Establish enterprise-wide standards for reusable AI solution blueprints.

  • Drive architecture reviews, technical governance, and platform optimization initiatives.

  • Mentor architecture teams and provide oversight across implementation programs.

  • Collaborate with client stakeholders and leadership teams on AI platform roadmaps.

    Qualification BE,BTech,MTech

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