AI LLM Technology Architecture Manager (Bengaluru)

AI LLM Technology Architecture Manager (Bengaluru)

15 Sep
|
Accenture
|
Bengaluru

15 Sep

Accenture

Bengaluru

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

Designation: AI LLM Technology Architecture Manager

Qualifications:BE/BBA/Master of Business Administration

Years of Experience:13 to 18 years

Language - Ability:English(International) - Intermediate

What would you do Level 7 - RDE Techno-Functional Consultant Human Resources
Role Type - RDE Techno-Functional Consultant Human Resources
Role Title - RDE Techno-Functional HR Consultant
Reinvention Deployment Engineering (RDE) - is an approach used by Accenture to reimagine and accelerate the delivery of engineering and RD 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 Techno-Functional HR Consultant will serve as the bridge between HR operations and AI solution teams, translating HR business processes into AI-enabled workflows. The role focuses on Hire-to-Retire (H2R), payroll, learning, talent management, workforce planning, and workforce analytics use cases.

Primary Focus - Hire-to-Retire, payroll, learning, talent, workforce analytics, HR service desk automation, personalized learning, attrition prediction, skill gap analysis, and HR reporting automation

What are we looking for Required Skills

- Hire-to-Retire (H2R) - Recruitment and Talent Acquisition Processes,



Employee Onboarding and Offboarding, Performance Management and Employee Development, Employee Lifecycle Management, HR Operations and Workforce Administration, H2R Process Improvement and Automation

- Payroll - Payroll Process Management, Payroll Controls and Compliance, Time, Attendance, and Payroll Integration, Payroll Exception Handling and Resolution, Payroll Automation and Process Optimization, Compensation and Benefits Administration

- Learning Talent Management - Learning and Development Programs, Talent Management and Succession Planning, Personalized Learning Path Design, Skills Development and Capability Building, Employee Experience and Engagement Solutions, Learning Transformation Initiatives

- Workforce Analytics - Workforce Planning and Forecasting, HR Analytics and Reporting, Attrition Analysis and Prediction, Skill Gap Assessment and Workforce Insights, Talent Data Analysis and Decision Suppor, HR Reporting and Dashboard Automation

Required Skills:

- AI Translation for HR - HR Process to AI Workflow Mapping, Agentic AI Use Case Identification, GenAI-Based HR Solution Design, Intelligent Automation for HR Processes, AI-Driven Employee Experience Transformation,



Automation Opportunity Assessment and Prioritization

- Stakeholder Management - Client and Business Stakeholder Engagement, HR Transformation Consulting, Business Requirement Translation, Executive Communication and Reporting, Escalation and Risk Management, Roadmap Planning and Delivery Tracking

- Qualified Skills - Strategic Problem Solving, Cross-Functional Collaboration, Team Leadership and Mentoring, Communication and Presentation Skills, Change Management and Transformation Support, Innovation and Continuous Improvement, HR Process Advisory, Business Acumen and Decision Making

Roles and Responsibilities:
- Provide domain expertise across Hire-to-Retire processes, including recruitment, onboarding, performance management, employee lifecycle management, separation, and payroll administration.

- Translate HR process requirements into Agentic AI and GenAI-enabled workflow solutions.

- Support AI and technical teams in designing HR service desk automation and self-service HR experiences

- Design AI-enabled use cases for personalized learning, talent management, attrition prediction, skill gap analysis, and workforce analytics.

- Define business rules, process variants, validation criteria, user journeys, and exception handling requirements for HR-focused AI solutions.

- Collaborate with RDE POD teams to ensure business requirements are accurately translated into scalable HR automation solutions.

Qualification BE,BBA,Master of Business Administration

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

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