Technical Project Manager(AI Automation Solutions)

 About the job 

Technical Project Manager – AI Automation Solutions & Client Delivery

About the Role: We are looking for an experienced Technical Project Manager to lead the delivery of AI Automation Solutions for global enterprise clients. This role demands a blend of technical acumen, client-facing delivery expertise, and strong project management skills to ensure successful execution of Conversational AI, Generative AI, and automation projects as Technical SME.

You will work closely with internal technical teams (Solution Architects, Business Analysts, Developers), client stakeholders, and vendor partners to deliver high-impact AI solutions that transform customer and employee experiences.

Qualifications:

• 7+ years of experience in Technical Project Management delivering enterprise technology solutions.
• 2+ years of experience managing projects in AI Automation (Conversational AI, Generative AI, RPA, Intelligent Automation) is highly preferred.
• Strong understanding of platforms like Kore.ai, Google Dialogflow, Microsoft Azure AI, IBM Watson, UiPath, Automation Anywhere, or equivalent.
• Experience working with global enterprise clients across diverse industries (Retail, BFSI, Healthcare, Manufacturing, etc.).
• Background in consulting services delivery from MNCs/SIs is a strong plus.
• Solid knowledge of Agile, Scrum, or Hybrid project delivery frameworks.
• Exceptional stakeholder management and communication skills (both technical and business-facing).
• Strong problem-solving, decision-making, and conflict resolution capabilities.
• Ability to manage multiple projects in parallel and deliver under tight deadlines.
• PMP, CSM, or equivalent certifications are a plus.

✅ Preferred:

• Exposure to AI Solution Architecture and Conversational Design.
• Experience working with multi-regional delivery teams (onshore/offshore model).
• Familiarity with security, compliance, and data privacy requirements in AI implementations.

Key Responsibilities:

• Manage end-to-end project delivery for AI automation solutions (Conversational AI, Generative AI, Agent AI, Automation AI) across multiple global clients.
• Lead project planning, resource allocation, risk management, and execution to meet scope, timeline, and budget commitments.
• Serve as the primary client point of contact, ensuring clear communication and excellent relationship management throughout the project lifecycle.
• Collaborate with Business Analysts, Solution Architects, and Developers to align project goals with technical solutions.
• Facilitate regular status meetings, workshops, and steering committees with client stakeholders and internal teams.
• Identify project risks and issues proactively; develop and execute mitigation plans.
• Track project KPIs (delivery milestones, performance metrics, adoption targets) and report progress to internal leadership and client executives.
• Ensure all project documentation (SOWs, change requests, meeting notes, post-implementation reviews) is up to date and complete.
• Drive continuous improvement initiatives and capture lessons learned for future projects.
• Stay informed of the latest trends in Conversational AI, Generative AI, and automation technologies to provide insights and guidance to clients.

Key Deliverables:

• ✅ Project Plan: Comprehensive plan with detailed timelines, milestones, and resource allocation.
• ✅ RAID Logs (Risks, Assumptions, Issues, Dependencies): Regularly updated risk management logs.
• ✅ Status Reports: Weekly/bi-weekly reports shared with internal and client stakeholders.
• ✅ Meeting Agendas & Minutes: Organized documentation of key discussions and decisions.
• ✅ Change Requests: Document and manage scope changes with clear impact analysis.
• ✅ Quality & Performance Reviews: Ensure AI solutions meet client SLAs and performance metrics.
• ✅ Project Closure & Post-Implementation Review: Capture lessons learned and document success metrics.
• ✅ Client Satisfaction Surveys: Gather and analyze client feedback post-project delivery.

Preparation

 

Que1-

Can you describe your experience with RPA tools like Automation Anywhere and UiPath?

Ans-

Throughout my 13.5 years in IT, I have accumulated extensive experience in Robotic Process Automation (RPA), particularly with Automation Anywhere and UiPath. I have spent the last 8 years focusing on RPA, where I have developed a deep understanding of various RPA tools, including Automation Anywhere v11, A2019, and A360, as well as UiPath and Pega Robotics. My expertise is not limited to just using these tools; I have been involved in end-to-end automation processes, which include feasibility studies, designing architectures, development, testing, and deployment of automation solutions. 

In my current role as a Senior Specialist in Robotics at Sunlife Financial, I have led multiple projects that utilized Automation Anywhere. For instance, I was responsible for automating case creation processes that involved integrating various applications and databases. This required me to work closely with business stakeholders to understand their needs and identify automation opportunities. I also designed bot architectures, coded solutions, and provided production support, ensuring the bots operated efficiently and met business requirements. 

My experience with UiPath includes automating complex workflows in various domains, including BFSI and Life Sciences. I have successfully implemented RPA solutions that reduced manual effort and improved accuracy in processes such as invoice processing and data extraction. My ability to troubleshoot and debug automations has been crucial in maintaining high performance and reliability in the bots I manage. 

Additionally, I have obtained certifications in Automation Anywhere, which have further solidified my knowledge and skills in RPA. I am passionate about leveraging RPA technology to drive digital transformation and improve operational efficiency across organizations.

Que2-How do you approach designing an RPA solution architecture?

Ans+Designing an RPA (Robotic Process Automation) solution architecture requires a structured and strategic approach to ensure scalability, maintainability, security, and performance. Here’s a step-by-step approach you can follow as an RPA Solution Architect:

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🔶 1. Understand the Business Process

• Engage stakeholders to gather end-to-end process knowledge.
• Document the AS-IS process, identifying systems, users, decision points, exceptions.
• Analyze process complexity, volume, frequency, and ROI potential.

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🔶 2. Assess Feasibility for Automation

• Check for rule-based logic, structured inputs, and standardized steps.
• Perform a process assessment (e.g., PDD – Process Design Document).
• Evaluate technical feasibility (integration with legacy apps, Citrix, etc.).

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🔶 3. Define Automation Scope and Goals

• Identify in-scope and out-of-scope components.
• Clarify business objectives: time savings, error reduction, SLA compliance.
• Determine success metrics (e.g., FTE savings, cycle time reduction).

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🔶 4. Select the Right RPA Tool

• Choose tools like Automation Anywhere, UiPath, Power Automate, Blue Prism based on:
  • Integration needs
  • Licensing model
  • Governance and analytics capabilities
  • Bot scalability and control room features

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🔶 5. Design Solution Architecture

a. High-Level Design

• Define bot types:
  • Attended Bots (user-assisted)
  • Unattended Bots (fully autonomous)
• Identify:
  • Orchestrator/Control Room setup
  • Bot runners (VMs, desktops, cloud)
  • Database and credential vaults
• Create a component diagram:
  • RPA bots, apps, APIs, queues, databases

b. Low-Level Design (Bot-level)

• Break the process into modular sub-tasks/workflows
• Define reusable components
• Handle:
  • Exception Management
  • Logging and Audit
  • Retry mechanisms
• Use Queue-based processing for high-volume transactions

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🔶 6. Security and Compliance

• Use Credential Vaults (CyberArk, AA Credential Manager)
• Ensure role-based access control (RBAC)
• Enable bot activity logging for audit trails
• Apply data encryption at rest and in transit

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🔶 7. Infrastructure Planning

• Define:
  • Number of bots and virtual machines (based on workload)
  • Development, Test, UAT, and Production environments
  • Network/firewall requirements
  • Load balancing and scalability strategy

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🔶 8. Deployment and Monitoring Strategy

• Use orchestration tools (like AA Control Room or UiPath Orchestrator)
• Set up:
  • Scheduling
  • Bot health monitoring
  • Alert/notification system
• Define rollback and failover mechanisms

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🔶 9. Governance and CoE Involvement

• Set development standards and naming conventions
• Implement version control and code review policies
• Involve RPA Center of Excellence (CoE) for best practices and reusability

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🔶 10. Documentation and Handover

• Prepare:
  • Solution Design Document (SDD)
  • Deployment Guide
  • User Guide
• Conduct:
  • UAT with business users
  • Knowledge transfer to operations/maintenance teams

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Would you like a visual architecture diagram or a template (SDD/PDD)? I can prepare those based on your domain or preferred RPA tool.

GenPact - Blue Prism Interview Question

Q1. Tell me about yourself

Answer:
(Provide a brief professional summary highlighting your experience with RPA, Blue Prism, and relevant skills. Example below)
"I am an RPA developer with [X] years of experience in Blue Prism, specializing in designing, developing, and deploying automation solutions. I have expertise in process automation, work queue management, exception handling, and integrating Blue Prism with various applications. I have successfully automated [mention key processes] and optimized workflows to improve efficiency."

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Q2. Blue Prism Architecture

Answer:
Blue Prism follows a client-server architecture with the following components:

1. Application Server – Hosts the Blue Prism database (SQL Server) and manages sessions.

2. Runtime Resources (Bots) – Execute processes on virtual machines (VMs).

3. Control Room – Monitors and manages bots, work queues, and schedules.

4. Development Studio – Used to design automation processes.

5. Release Manager – Handles bot deployment.

6. Database Server – Stores configurations, logs, and work queue items.

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Q3. Why You Use Application Server

Answer:
The Application Server centralizes process execution, manages database connections, and ensures secure communication between Blue Prism components. It allows multiple bots to access shared resources and work queues efficiently.

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Q4. How You Will Manage Work Queue

Answer:

• Adding Items: Use "Add to Queue" action in Blue Prism.

• Processing Items: Bots fetch items using "Get Next Item" based on priority.

• Status Updates: Mark items as Pending, Completed, or Exception.

• Exception Handling: Use "Defer" or "Exception" status for failed items.

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Q5. How You Will Define Global Variable

Answer:

• In Process Studio, right-click on "Data" → "Add Global".

• Define Name, Data Type, Initial Value, and Exposure (if needed for external use).

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Q6. How You Will Manage Work Queue Priority

Answer:

• Assign Priority (1=Highest, 5=Lowest) when adding items.

• Use "Get Next Item" with Priority Order to fetch high-priority items first.

• Adjust dynamically using "Set Priority" action if needed.

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Q7. Scenario: Same Excel File Opened by Multiple Bots on Different VMs

Answer:

• Option 1: Use "Read Range" to load data into a Collection and close the file.

• Option 2: Implement file locking (check if file is in use before opening).

• Option 3: Split the Excel into multiple files for parallel processing.

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Q8. Scenario: Managing Work Queue Priority Across Multiple Machines

Answer:

• Ensure Work Queue is centralized (same database).

• Bots fetch items based on priority order (highest first).

• Use "Tagging" to assign specific items to specific bots if needed.

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Q9. Scenario: High Volume Requests with Limited Bots (24x7 Running)

Answer:

• Optimize Bot Speed: Reduce delays, improve efficiency.

• Increase Concurrent Sessions: If VM resources allow.

• Adjust Work Queue Priority: Process critical items first.

• Use Resource Pooling: Share bots efficiently.

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Q10. What is Global Variable?

Answer:
A Global Variable is accessible across multiple processes in Blue Prism. Defined in Process Studio, it retains value throughout the session.

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Q11. What is Environment Variable?

Answer:
An Environment Variable is a system-level variable used to store configurations (e.g., file paths, URLs). Accessed via "Get Environment Variable" action.

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Q12. What is Resource Pooling?

Answer:
Resource Pooling allows multiple processes to share a set of bots (runtime resources) dynamically, improving efficiency and load balancing.

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Q13. Can You Create Parent-Child Process?

Answer:
Yes, in Process Studio:

• A Parent Process can call a Child Process using "Start Process" action.

• Data can be passed via Input/Output parameters.

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Q14. What is Priority Data Type in Work Queue?

Answer:
Priority is an integer (1-5) where:

• 1 = Highest Priority

• 5 = Lowest Priority

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Q15. How You Will Deploy Bot in Blue Prism?

Answer:

1. Export the process as a Release Package (.bprelease).

2. Use Release Manager to import and deploy to the Control Room.

3. Schedule or trigger execution via Control Room.

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Q16. What is Extension of Blue Prism Bot Package?

Answer:
The Blue Prism bot package has the extension .bprelease.

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Final Tips for Interview:

• Be ready for practical scenarios (e.g., exception handling, queue management).

• Explain real-life projects where you used Blue Prism.

• Mention best practices (logging, error handling, secure credentials).

Would you like any answers explained in more detail? 😊

yes provide below questions answer Be ready for practical scenarios (e.g., exception handling, queue management). Explain real-life projects where you used Blue Prism. Mention best practices (logging, error handling, secure credentials).

Certainly! Below are detailed answers to your additional Blue Prism interview questions, covering practical scenarios, real-life project examples, and best practices.

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1. Practical Scenarios (Exception Handling, Queue Management)

Scenario 1: Exception Handling in Blue Prism

Problem: A bot fails while processing a work queue item due to an application crash.
Solution:

• Use Recovery & Resume: Implement Recovery Stages in the process to retry or log exceptions.

• Exception Work Queue: Mark failed items as "Exception" and notify support teams.

• Logging: Capture screenshots and logs using "Log Exception" action.

• Retry Logic: Use "Defer" status to retry later.

Scenario 2: Work Queue Deadlock (Multiple Bots Stuck on Same Item)

Problem: Two bots try processing the same queue item simultaneously.
Solution:

• Use "Lock Item" → Ensures only one bot processes an item at a time.

• Tagging: Assign specific items to specific bots.

• Database-Level Locks: Configure SQL to prevent duplicate processing.

Scenario 3: High-Priority Item in Work Queue

Problem: Urgent requests must be processed before others.
Solution:

• Set Priority (1=Highest, 5=Lowest) when adding items.

• Use "Get Next Item" with Priority Order → Fetches high-priority items first.

• Dynamic Priority Adjustment: Use "Set Priority" action mid-process if needed.

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2. Real-Life Projects Using Blue Prism

Project 1: Invoice Processing Automation

Objective: Automate extracting invoice data from emails/PDFs into SAP.
Solution:

• Used OCR (ABBYY/Blue Prism’s Decipher) for PDF extraction.

• Work Queue managed pending/completed invoices.

• Exception Handling for mismatched data (logged in Excel).
  Result: Reduced processing time by 80%, eliminated manual errors.

Project 2: HR Employee Onboarding

Objective: Automate creating user accounts in Active Directory & HRMS.
Solution:

• Input from Excel → Validate → Create AD Account → Send Welcome Email.

• Work Queue tracked pending onboarding requests.

• Error Handling for duplicate entries (auto-notified HR).
  Result: Onboarding time reduced from 2 days to 30 mins.

Project 3: Banking Transaction Reconciliation

Objective: Match bank statements with internal records.
Solution:

• Blue Prism fetched data from Excel & Core Banking System.

• Fuzzy Matching for minor discrepancies.

• Exception Queue for unresolved mismatches (reviewed manually).
  Result: 99.5% accuracy, saved 200+ hours/month.

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3. Best Practices in Blue Prism

A. Logging & Auditing

✔ Use "Log Message" for tracking bot actions.
✔ Capture Screenshots on Errors for debugging.
✔ Store logs centrally (SQL DB/Elasticsearch).

B. Error Handling

✔ Use Recovery Stages for retry logic.
✔ Classify Exceptions (Business vs. System Errors).
✔ Notify Teams via email/Slack on critical failures.

C. Secure Credentials

✔ Use Credential Manager (never hardcode passwords).
✔ Encrypt Sensitive Data in Global/Environment Variables.
✔ Limit Access to Control Room based on roles.

D. Work Queue Optimization

✔ Set Proper Priority (1-5) for urgent tasks.
✔ Use Tags to assign tasks to specific bots.
✔ Monitor Queue Health (pending vs. completed ratio).

E. Performance & Maintenance

✔ Avoid Infinite Loops (use loop counters).
✔ Close Applications Properly after use.
✔ Schedule Regular Maintenance (DB cleanup, log rotation).

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SSD interview questions answers

Here are some common interview questions on Solution Design Document (SDD) along with sample answers:

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1. What is a Solution Design Document (SDD)?

Answer:

A Solution Design Document (SDD) is a detailed document that outlines the architecture, components, workflow, and implementation details of a solution. It serves as a blueprint for developers, testers, and stakeholders to understand the solution's design before implementation.

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2. What are the key components of an SDD?

Answer:

A typical SDD includes:

1. Project Overview – Brief description of the project and business problem.

2. Solution Architecture – High-level design, including system components and interactions.

3. Process Flow – End-to-end workflow diagrams.

4. Infrastructure Requirements – Hardware, software, and network specifications.

5. Security Considerations – Authentication, authorization, and data encryption.

6. Exception Handling – Error handling and recovery mechanisms.

7. Assumptions & Constraints – Limitations and conditions of the solution.

8. Deployment & Maintenance – Steps for implementation and support.

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3. Why is an SDD important in solution design?

Answer:

An SDD is important because:

It provides clarity and alignment between stakeholders.

It ensures consistency and standardization in development.

It serves as a reference for future maintenance and upgrades.

It reduces risks by identifying potential challenges early.

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4. How do you create an SDD?

Answer:

To create an SDD:

1. Gather business and technical requirements.

2. Define architecture and solution components.

3. Design workflow diagrams for process understanding.

4. Document infrastructure, security, and exception handling.

5. Review and validate the document with stakeholders.

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5. What tools do you use to create an SDD?

Answer:

Common tools include:

Microsoft Word/Google Docs – For documentation.

Visio/Lucidchart/Draw.io – For process and architecture diagrams.

Confluence – For collaboration and version control.

JIRA/Trello – For tracking design updates and implementation.

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6. How do you ensure the SDD meets business and technical requirements?

Answer:

Stakeholder reviews – Conduct periodic discussions with business and IT teams.

Validation checkpoints – Cross-check design with business use cases.

Traceability matrix – Map requirements to solution components.

Prototyping/Pilot testing – Validate feasibility before full implementation.

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7. What challenges do you face while creating an SDD?

Answer:

Some challenges include:

Incomplete requirements – Business stakeholders may not provide full details.

Technical constraints – System limitations might impact the design.

Stakeholder alignment – Different teams may have conflicting expectations.

Changing requirements – Scope changes can impact the design.

To overcome these, I ensure continuous communication, proper documentation, and agile iterations.

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8. Can you explain a real-time scenario where you created an SDD?

Answer:

(Provide a relevant example from your experience.)

"In one of my projects in the BFSI sector, we were automating a claims processing workflow. The SDD covered the bot architecture, integrations with third-party APIs, security requirements (data encryption), and exception handling (manual review for failed cases). We ensured compliance with industry regulations and validated the solution through stakeholder reviews before implementation."

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9. What are the best practices for writing an effective SDD?

Answer:

Keep it clear and concise – Avoid unnecessary complexity.

Use diagrams and visuals – Helps in better understanding.

Maintain version control – Track changes to avoid confusion.

Align with standards – Follow organization/industry best practices.

Review with stakeholders – Ensure accuracy and completeness.

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10. How do you handle changes in an existing SDD?

Answer:

Assess the impact – Check how changes affect existing components.

Update the document – Clearly mention revisions with a change log.

Communicate with stakeholders – Get approvals before implementation.

Version control – Maintain historical versions for reference.

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