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

Designation: AI/ML Computational Science Manager

Qualifications:Any Graduation

Years of Experience:13 to 18 years

What would you do
You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides cutting-edge and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions.,Tech for Operations involves using technology to improve and streamline business operations. This role includes implementing software solutions, automating processes, and managing IT systems that support operational activities. It also involves analyzing data to optimize performance and ensure efficiency. The goal is to enhance productivity and operational effectiveness through the effective use of technology. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively.

What are we looking for
Delivery Leadership:Lead a team of AI engineers to prototype, test, and deploy solutions in agile sprints.Agile Project Management:Manage the AI Project using Agile methodology, Build Epics, Stories, Use cases and sprints.



Stakeholder Engagement:Collaborate with business leaders to identify high-impact automation use cases (e.g., Finance, Customer Success).Governance Ethics:Ensure AI safety, implementing guardrails for bias detection, cost containment, and output auditability.Strategy Architecture:Design end-to-end agentic architectures (single/multi-agent) using LangChain, LangGraph, AutoGen, or CrewAI.Experience:10+ years in AI/ML, with 2+ years focused on GenAI/LLM application management and understanding of agentic workflows.Management skills:Project Management, Stakeholder communication, Governance, Finance Management, Risk Management, AI-ML Solution DevelopmentLeadership:Experience leading technical teams and driving AI initiatives.Framework Knowledge:Deep understanding of LangChain, AutoGen, or similar frameworks.Technical Proficiency:Strong Python skills, experience with vector databases (Pinecone, Chroma), and cloud platforms (Azure, AWS).

Roles Responsibilities:

In this role you are required to identify and assess complex problems for area of responsibilityThe person would create solutions in situations in which analysis requires an in-depth evaluation of variable factorsRequires adherence to strategic direction set by senior management when establishing near-term goalsInteraction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approachSome latitude in decision-making in involvedyou will act independently to determine methods and procedures on new assignmentsDecisions individual at this role makes have a major day to day impact on area of responsibilityThe person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within AccenturePlease note that this role may require you to work in rotational shifts
QualificationAny Graduation

📌 AI/ML Computational Science Manager (Bengaluru)
🏢 Accenture
📍 Bengaluru