Job
Description
About The Role
Skill required: Tech for Operations - Technology Architecture
Designation: AI LLM Technology Architecture Manager
Qualifications:Any Graduation
Years of Experience:13 to 18 years
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 699,000 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?
Lead efforts to design, build, and configure applications, acting as the primary point of contact. Collaborate with various teams to ensure application solutions meet business needs. Oversee the application development process. Provide guidance and mentorship to team members. Engage in discussions to align project goals with organizational objectives. Troubleshoot issues arising during development and implement solutions to enhance application performance and user experience. Collaborate and manage the team to perform and make team decisions. Engage with multiple teams and contribute to key decisions. Provide solutions to problems within the immediate team and across multiple teams. Facilitate knowledge sharing sessions to enhance team capabilities.
What are we looking for? Minimum 7.5 years of experience in Tech Solution Architecture. Proficiency in Tech Solution Architecture. Strong understanding of application design principles and best practices. Experience with cloud-based solutions and architecture. Ability to analyze and optimize application performance. Familiarity with various programming languages and frameworks. At least 15 years of full-time education.
Roles and Responsibilities: Serve as a Subject Matter Expert (SME). Collaborate and manage the team to perform effectively. Be responsible for team decisions. Engage with multiple teams and contribute to key decisions. Provide solutions to problems for the immediate team and across multiple teams. Facilitate knowledge sharing to improve team skills. Monitor project progress and ensure timely delivery of milestones.Core Technical Skills (Supporting Responsibilities): Software Architecture and System Design:microservices and modular architecture; event-driven and message-passing systems; scalability, reliability, and fault tolerance design. AI and LLM Foundations:understanding large language models and multimodal models; prompt engineering; fine-tuning, embeddings, and retrieval-augmented generation. Agentic Orchestration:frameworks like LangChain, Crew AI, Semantic Kernel, Langgraph; multi-agent coordination strategies; workflow orchestration. Tool Integration:API design and integration for agent tooling; connecting agents with databases, APIs, and enterprise systems; knowledge of vector databases. Infrastructure and MLOps:deployment and scaling on cloud platforms (AWS, Azure, GCP); containerization and orchestration (Docker, Kubernetes); serverless and edge AI architectures. Monitoring and Observability:logging, tracing, monitoring agent behavior; feedback loops for continuous improvement; guardrails, evaluation frameworks, human-in-the-loop systems. Security and Governance:AI safety and risk management; guardrails against hallucinations, prompt injection, data leakage; access control and role-based permissions; compliance with GDPR, SOC2, AI Act.
Qualification Any Graduation
