Staff Engineer, Intelligent Automation & Process Excellence
Rakuten Symphony · Bangalore, India
About this role
The Staff Engineer for Intelligent Automation & Process Excellence will serve as a bridge between strategic process architecture and next-generation AI implementation. This role involves leading transformation initiatives by combining advanced BPM methodologies and process mining with cutting-edge Agentic-AI to optimize complex, fragmented legacy workflows into automated, AI-driven ecosystems.
Responsibilities
Design and architect enterprise-grade, end-to-end business processes.
Act as a strategic advisor to cross-functional units to translate operational challenges into scalable process frameworks.
Conduct rigorous process audits and benchmark internal KPIs against global industry standards like APQC.
Lead process mining initiatives to ingest event log data, discover operational realities, and identify bottlenecks or compliance deviations.
Architect and deploy Agentic-AI solutions to solve specific problems across telecom domains, including log analysis, code debugging, protocol troubleshooting, and performance monitoring.
Evaluate workflows for automation readiness, calculating ROI and feasibility before orchestrating pipelines using RPA and workflow engines.
Provide technical support for DevOps infrastructure and contribute to the development of automated tools to improve support efficiency.
Required qualifications
Bachelor’s degree in Electronics/Comm, IT, or a related field.
Overall 6 to 8 years of core experience in BPM, process mining, and AI/Automation development.
Proven, hands-on track record of deploying Agentic-AI solutions in production environments.
Technical expertise in process mining and workflow platform tools.
Proficiency in Agentic frameworks such as LangChain, AutoGen, CrewAI, or Haystack.
Experience implementing RAG, ReAct patterns, function calling, and long-term memory management for AI agents.
Strong technical stack proficiency including SQL, Python/R, RPA tools, Kubernetes, Docker, and Jenkins.
Solid understanding of Telecom Network architectures (OSS/BSS).
Strong interpersonal and stakeholder management skills.
For full details about this role, click “Apply on company site” to view the employer’s original posting.
A focused preparation guide, built around this job’s responsibilities and requirements.
✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01
Understand the role
What matters most
Architecting Agentic-AI for Telecom Workflows
The primary objective is to design and deploy production-grade AI agents capable of handling complex telecom-specific tasks like log analysis, protocol troubleshooting, and code debugging. You must demonstrate proficiency in frameworks such as LangChain, AutoGen, or CrewAI, specifically focusing on RAG, ReAct patterns, and memory management.
Bridging Process Mining with Automation
You are expected to lead process mining initiatives to ingest event logs, identify bottlenecks, and translate these findings into automated, high-ROI workflows. This requires a strong foundation in BPM methodologies and the ability to use SQL, Python, or R to extract actionable insights from operational data.
Cross-Functional Stakeholder Advisory
As a Staff Engineer, you must act as a strategic advisor to cross-functional units. You will need to translate operational challenges into scalable frameworks while driving the adoption of new automation technologies across the organization.
Likely challenges to think through
Balancing Legacy Systems with Modern AI
A significant challenge involves integrating cutting-edge Agentic-AI into fragmented legacy telecom workflows. Prepare by being ready to discuss how you evaluate automation readiness and calculate ROI for complex, non-standardized environments.
Ensuring Reliability in Autonomous Agents
Deploying agents in production requires robust error correction and reasoning models. You should prepare to explain your approach to handling agent hallucinations, tool-use failures, and maintaining system stability within critical telecom infrastructure.
Driving Adoption in High-Pressure Environments
Implementing process excellence often meets resistance. You will need to demonstrate strong interpersonal skills to manage stakeholders and drive cultural change, ensuring that your automated solutions are actually adopted and utilized by the teams they are intended to support.
03
Practice your answers
Technical practice
Architecting Agentic-AI for Telecom Workflows
What to coverExplain your approach to designing AI agents for complex tasks like protocol troubleshooting or log analysis. Focus on how you integrate reasoning models, handle tool-use, and implement error correction mechanisms in production environments.
Implementing RAG and ReAct Patterns
What to coverDescribe your experience implementing Retrieval-Augmented Generation and ReAct patterns within agentic frameworks. Discuss how you manage long-term memory for agents to ensure consistency across multi-step telecom operational tasks.
Process Mining and Bottleneck Identification
What to coverDetail your methodology for ingesting event log data to discover operational realities. Explain how you translate these findings into actionable automation strategies while benchmarking against standards like APQC.
Orchestrating Pipelines with RPA and Workflow Engines
What to coverDiscuss the criteria you use to evaluate a legacy workflow for automation readiness and ROI. Explain how you integrate RPA tools with modern AI-driven pipelines to optimize fragmented processes.
Agentic Framework Proficiency
What to coverCompare the strengths and use cases for frameworks like LangChain, AutoGen, or CrewAI. Suggestion: Be prepared to discuss a specific project where you selected one of these frameworks and why it was the optimal choice for the task.
DevOps Infrastructure for AI Solutions
What to coverHow do you manage the deployment and scaling of AI-driven automation tools using Kubernetes and Docker? Explain your experience with Jenkins for CI/CD in the context of maintaining high-availability telecom support infrastructure.
Data Transformation for Process Discovery
What to coverDescribe how you utilize Python, R, or SQL to prepare raw data for process mining. Focus on how you handle data quality issues and ensure the resulting insights accurately reflect complex OSS/BSS network architectures.
Telecom Domain Knowledge Integration
What to coverHow does your understanding of OSS/BSS architectures influence the way you design automated solutions? Provide an example of how domain-specific knowledge is critical when debugging network protocols or monitoring performance.
Behavioural practice
Driving Cross-Functional Adoption
What to coverDescribe a situation where you had to convince cross-functional stakeholders to adopt a new automated process. Focus on how you managed resistance and communicated the business value of the transformation.
Applying the Rakuten Shugi Principles
What to coverShare an example of how you have applied the 'Hypothesize-Practice-Validate-Shikumika' cycle to solve a problem in an unknown or complex territory. Explain the steps you took to validate your hypothesis and ensure long-term success.
Managing High-Pressure Transformation Initiatives
What to coverTell me about a time you led a transformation initiative under tight deadlines. How did you prioritize tasks, maintain quality, and ensure the final output met the needs of the end-user?
Balancing Strategic Architecture with Hands-on Execution
What to coverAs a Staff Engineer, you are expected to be both an architect and a builder. Provide an example of how you balanced high-level strategic advisory work with the hands-on development of models or pipelines.
02
Sharpen your knowledge
Topics to prepare
Agentic-AI Architecture and Reasoning Patterns
The role requires deep knowledge of ReAct patterns, function calling, and long-term memory management. Prepare by reviewing how to design agents that can reason through multi-step telecom troubleshooting tasks, handle tool-use errors, and maintain state across complex workflows.
Process Mining and BPM Methodologies
You must be able to translate operational challenges into scalable frameworks using APQC standards. Practice mapping a legacy telecom workflow, identifying bottlenecks from event logs, and justifying the ROI of automating specific process segments.
Skills to revise
Agentic Framework Proficiency
Gain hands-on experience with LangChain, AutoGen, CrewAI, or Haystack. Build a prototype agent capable of performing a specific task like log analysis or code debugging to demonstrate your ability to implement these frameworks in production.
DevOps and Infrastructure Automation
The role involves supporting DevOps infrastructure. Ensure you are comfortable deploying and managing containerized applications using Docker and Kubernetes, and orchestrating CI/CD pipelines with Jenkins to support automated tool development.
Telecom Domain Knowledge (OSS/BSS)
Familiarize yourself with the architecture of Operations Support Systems (OSS) and Business Support Systems (BSS). Being able to discuss how AI agents can specifically optimize these systems is critical for this role.
04
Your preparation checklist
Prepare an Agentic-AI Project Walkthrough
Document a production-grade project where you deployed an AI agent. Be ready to explain your choice of framework (e.g., LangChain, AutoGen), how you implemented ReAct patterns or function calling, and your approach to long-term memory management and error correction.
Map Process Mining to Telecom Use Cases
Prepare to discuss how you have used process mining to ingest event logs and identify bottlenecks. Specifically, relate this to telecom domains like OSS/BSS, explaining how you would audit a legacy workflow and benchmark it against industry standards like APQC.
Demonstrate DevOps and Infrastructure Proficiency
Review your experience with Kubernetes, Docker, and Jenkins. Prepare examples of how you have integrated these tools into automated pipelines to support AI-driven workflows or improve operational efficiency.
Formulate Strategic Questions for the Interviewer
Prepare questions regarding the current maturity of their process mining initiatives, the specific telecom legacy workflows they are prioritizing for AI automation, and how they measure ROI for Agentic-AI deployments.
Align with Rakuten Shugi Principles
Reflect on your professional history to provide concrete examples of the 'Hypothesize-Practice-Validate-Shikumika' cycle and how you have maintained speed and quality while driving cross-functional transformation.
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