AI ML Computational Science Assoc Mgr

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

Designation: AI/ML Computational Science Assoc Mgr

Qualifications:Any Graduation

Years of Experience:10 to 14 years

About Accenture

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 784,000 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? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative 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 Automation Understanding 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?

• AI Governance Framework Development: Create policies for secure AI development, deployment, and maintenance, ensuring alignment with standards like NIST AI RMF and ISO 27001.
• Agentic Risk & Security Management: Identify, assess, and mitigate risks unique to agents (autonomous actions, data privacy, adversarial threats). Implement runtime guardrails, prompt governance, and secure Agent-to-Agent (A2A) or Agent-to-Process (A2P) communication protocols.
• Regulatory Compliance: Ensure AI initiatives comply with legal and ethical standards, translating regulations into technical controls.
• Operational Oversight: Manage the lifecycle of AI agents, maintaining a registry of deployments, and defining human-in-the-loop (HITL) approval thresholds.
• Collaboration & Advisory: Work with engineering, product, and data science teams to embed "Secure-by-Design" principles.
• Incident Response & Monitoring: Develop AI-specific incident response plans and establish continuous monitoring for behavioral drift Skills:
• Experience: 7-10 years in IT security, with 3+ years specifically in [GenAI/Agentic AI governance](0.4.2, 0.4.16), risk management, or compliance.
• Technical Knowledge: Deep understanding of AI/ML, LLMs, and agentic frameworks (e.g., LangChain, AutoGen). Familiarity with OWASP Top 10 for LLM.
• Skills: Expertise in security auditing, threat modeling, and data privacy.
• Education: Bachelor’s or Master’s in Information Security, Computer Science, or equivalent. Roles and Responsibilities:
• In this role you are required to do analysis and solving of moderately complex problems
• Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures
• The person requires understanding of the strategic direction set by senior management as it relates to team goals
• Primary upward interaction is with direct supervisor or team leads
• Generally interacts with peers and/or management levels at a client and/or within Accenture
• The person should require minimal guidance when determining methods and procedures on new assignments
• Decisions often impact the team in which they reside and occasionally impact other teams
• Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
• Please note that this role may require you to work in rotational shifts