Highlights:
15.00 – 20.00 Years
38.00 – 62.00 INR (Lacs)/Yearly
Full-time
Pan india
Skills
AI
Roles & Responsibility
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
What would you do? Level 6 – RDE Tech Lead – AI, Agentic & GenAI Delivery
Role Type – RDE Tech Lead – AI, Agentic & GenAI Delivery
Role Title – RDE Senior Tech Lead / Delivery Co-Lead
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 Level 6 Senior Tech Lead / Delivery Co-Lead will be responsible for senior delivery governance and co-leadership across enterprise AI delivery programs. The role will support cloud-native architecture, LLM implementation, cross-workstream governance, and AI delivery co-leadership for Agentic AI and GenAI 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 Leadership – Agent Architecture Design, Multi-Agent Frameworks, Agent Orchestration & Workflow Design, Tool Calling & Integration Patterns, AI Solution Delivery Leadership
• GenAI & LLM Skills – Large Language Models (GPT, Claude, Gemini, Llama), Prompt Engineering & Optimization, Retrieval Augmented Generation (RAG), Vector Databases and Semantic Search, Responsible AI and Governance Practices
• Delivery Governance – Solution Architecture Reviews – Code Quality and Development Standards, Agile Delivery and Sprint Management, Risk and Dependency Management, Technical Design Governance
• Cloud & Platform Architecture – Azure, AWS, or GCP Cloud Platforms, Microservices and Distributed Systems, Docker and Kubernetes, API Management and Integration, CI/CD and DevSecOps Practices
• Stakeholder Management – Client Relationship Management, Business Requirement Translation, Executive Communication and Reporting, Escalation Management, Roadmap Planning and Delivery Tracking
• Professional Skills – Strategic Problem Solving, Leadership and Team Management, Cross-Functional Collaboration, Presentation and Communication Skills, Mentoring and Capability Development
• Enterprise AI delivery and GenAI implementation
• Agentic AI architecture and multi-agent systems
• LLM strategy, RAG architecture, vector databases, and prompt engineering
• Technical governance across multiple delivery workstreams
• Cloud-native architecture across AWS, Azure, or GCP
• DevSecOps, CI/CD, microservices, containers, and API gateway
• Client delivery, escalation management, and roadmap translation
• Design reviews, sprint governance, delivery quality, and risk management
Roles and Responsibilities: • Lead end-to-end delivery of enterprise Agentic AI and GenAI solutions.
• Govern technical delivery across workstreams, including code quality, architecture compliance, sprint velocity, design reviews, and risk management.
• Support LLM selection, prompt engineering standards, RAG architecture, vector database strategy, and Responsible AI guardrails.
• Provide technical leadership for agent architecture, orchestration strategy, tool-calling patterns, and multi-agent coordination frameworks
• Define and support cloud-native deployment strategies across AWS, Azure, or GCP.
• Drive implementation standards around microservices, containers, API gateway, CI/CD, DevSecOps, and production AI deployment.
• Engage with client stakeholders, manage escalations, translate business requirements into delivery roadmaps, and report solution progress.
BE,BTech,MTech
