Tech Architecture Assoc Director

Tech Architecture Assoc Director

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
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and 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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Level 5 - RDE Technical Architect – AI, Agentic & GenAI Platform Role Type - RDE Technical Architect – AI, Agentic & GenAI Platform Role Title - RDE Principal / Lead Platform Architect Reinvention 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 execution Role 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 Innovation Required 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.