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Tech Architecture Assoc Director

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Onsite

Tech Architecture Assoc Director

Accenture

Tech Architecture Assoc Director

Skills

Google Cloud PlatformDockerDevOpsMicroservicesRAIAWSKubernetesComplianceRisk 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 Tech Lead AI, Agentic & GenAI DeliveryRole Type RDE Tech Lead AI, Agentic & GenAI DeliveryRole Title RDE AI Delivery Director / Senior Delivery Leader 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 executionRole Purpose:The Level 5 AI Delivery Director / Senior Delivery Leader will provide overall delivery direction, executive-level technical oversight, and strategic alignment across AI, Agentic AI, GenAI, and client transformation outcomes. This role is expected to set delivery direction, guide senior stakeholders, and ensure enterprise-scale AI solutions deliver measurable business and productivity impactPrimary Focus - Agentic AI leadership, GenAI/LLM strategy, technical delivery governance, cloud/platform architecture, and stakeholder/client management.Must Have Experience:- Lead the end-to-end technical delivery of Agentic AI solutions.

  • Drive/knowledge the implementation of Agentic AI frameworks and technologies.

    What are we looking for

  • Required Skills:

  • Agentic AI Leadership - Enterprise Agent Architecture Design, Multi-Agent Systems & Orchestration, Agent Workflow Design and Automation, Tool Calling & Function Integration, Agent Communication and Coordination Frameworks

  • GenAI & LLM Strategy - Large Language Models (GPT, Claude, Gemini, Llama), Prompt Engineering & Prompt Governance, Retrieval Augmented Generation (RAG), Vector Databases (Pinecone, Weaviate, Azure AI Search, Chroma), Responsible AI, Security & Compliance Frameworks

  • Delivery Governance - AI Solution Architecture Reviews, Technical Delivery Governance, Code Quality & Best Practices, Agile Delivery & Sprint Management, Risk, Dependency & Issue Management

  • Cloud & Platform Architecture - Azure, AWS, and GCP Cloud Platforms, Microservices & Distributed Architecture, Containerization (Docker, Kubernetes), API Management & Integration, CI/CD and DevSecOps Practices for AI Solutions

  • Stakeholder & Program Leadership - Executive Client Engagement, Strategic Roadmap Development, Business-to-Technology Translation, Escalation & Risk Management, Program Governance and Delivery Reporting

  • Required Skills:

  • Professional Skills - Strategic Thinking and Decision Making, Leadership and Team Mentoring, Communication and Executive Presentation Skills, Cross-Functional Collaboration, Client Relationship Management

    Roles and Responsibilities:

  • Define and drive the overall delivery strategy for enterprise Agentic AI and GenAI programs.

  • Provide executive-level technical oversight across AI solution design, delivery governance, cloud architecture, and implementation quality.

  • Set direction for agent architecture, orchestration strategy, multi-agent coordination, LLM strategy, RAG architecture, and Responsible AI guardrails.

  • Govern delivery across multiple workstreams, ensuring architecture compliance, risk management, delivery quality, and business outcome alignment.

  • Partner with senior client stakeholders to manage strategic discussions, escalations, roadmap alignment, and transformation outcomes.

  • Guide leadership teams on cloud AI strategy across AWS, Azure, or GCP, including DevSecOps, CI/CD, microservices, API gateway, and production AI readiness.

  • Ensure delivery teams support productivity improvement objectives and scalable AI delivery models.

    Qualification BE,BTech,MTech

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