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

Designation: AI LLM Technology Architecture Manager

Qualifications:BE/BTech/MTech

Years of Experience:12 to 16 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 7 - RDE Tech Lead AI, Agentic & GenAI DeliveryRole Type - RDE Tech Lead AI, Agentic & GenAI DeliveryRole Title - RDE Tech Lead / Delivery LeadReinvention 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 7 Tech Lead / Delivery Lead will lead hands-on delivery across Agentic AI and GenAI programs, with ownership of AI delivery at POD or workstream level. This role will guide technical teams, ensure architecture compliance, and support client-facing execution for production-grade AI solutions.Primary 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 Agentic AI & GenAI Leadership
- Agent Architecture & Multi-Agent Systems, Agent Orchestration and Workflow Automation, Tool Calling & AI Integration Frameworks, Large Language Models (GPT, Claude, Gemini, Llama), Prompt Engineering, RAG, and Vector Databases, Responsible AI and AI GovernanceSolution & Delivery Leadership
- AI Solution Architecture and Design Reviews, Agile Delivery and Program Governance, Code Quality and Engineering Best Practices, Risk, Issue, and Dependency Management, Technical Leadership and Decision MakingCloud & Platform Engineering
- Azure, AWS, and GCP Cloud Platforms, Microservices and Distributed Architectures, Docker, Kubernetes, and Containerization, API Integration and Platform Engineering, CI/CD, DevSecOps, and Production DeploymentStakeholder & Client Management
- Executive and Client Engagement, Business Requirements Translation, Escalation and Delivery Governance, Roadmap Planning and Progress Reporting, Cross-Functional CollaborationProfessional Skills
- Strategic Thinking and Problem Solving, Team Leadership and People Development, Communication and Presentation Skills, Mentoring and Capability Building,



Innovation and Continuous Improvement.
- Agentic AI delivery and GenAI solution implementation
- LLMs, prompt engineering, RAG architecture, vector databases, and Responsible AI
- AI technical delivery leadership at POD or workstream level
- Cloud AI delivery across AWS, Azure, or GCP
- Microservices, containerization, API gateway, CI/CD, and DevSecOps
- Architecture compliance, code quality, sprint tracking, and risk management
- Client stakeholder coordination and solution progress reporting
- Team guidance and hands-on technical delivery management

Roles and Responsibilities:
- Lead delivery of Agentic AI and GenAI solutions at POD or workstream level.
- Support end-to-end design of AI solutions, including agent architecture, orchestration strategy, tool-calling patterns, and multi-agent coordination.
- Drive implementation of LLM selection, prompt engineering standards, RAG architecture, vector database strategy, and Responsible AI guardrails.
- Ensure code quality, architecture compliance, design review participation, sprint velocity tracking, and delivery risk management.
- Support cloud deployment across AWS, Azure, or GCP, including microservices, containerization, API gateway, CI/CD, and DevSecOps practices.
- Work with client stakeholders to understand requirements, convert business needs into technical roadmaps, and provide solution progress updates.
- Guide and mentor technical teams to deliver scalable, production-ready AI solutions with quality and speed.

Qualification BE,BTech,MTech

📌 AI LLM Technology Architecture Manager (Bengaluru)
🏢 Accenture
📍 Bengaluru