Process Engineer (AI Process Optimization & Automation)

Visionet Systems Inc.; Mumbai; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Visionet Systems Inc. in Mumbai seeks a highly motivated Process Engineer with experience in process engineering, business process improvement, and AI-driven automation initiatives. The role partners with Architecture, Engineering, Operations, Security, and Application teams to map current-state processes and identify automation opportunities.

You'll design AI-enabled workflows, create reusable SOPs, support UAT, and help standardize enterprise processes across functions.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Technology, Business, or a related field.
• 57 years of experience in Process Engineering, Business Process Management, Process Improvement, or Digital Transformation.
• Strong understanding of process mapping techniques (BPMN, flowcharts, SIPOC, value stream mapping).
• Experience facilitating stakeholder workshops and requirement-gathering sessions.
• Strong documentation skills and Markdown formatting.
• Understanding of AI, Generative AI, Intelligent Automation, or workflow automation concepts.
• Experience working with cross-functional enterprise teams; strong analytical and communication skills.
• Experience with UAT planning, execution, defect tracking, and validation.

Responsibilities

• Lead process discovery and process engineering initiatives with a focus on AI-driven optimization and automation.
• Facilitate cross-functional workshops with Architecture, Engineering, Operations, Security, and Application teams to identify improvement opportunities.
• Analyze current business and operational processes to identify inefficiencies and propose optimized future-state workflows.
• Design and manage cross-platform integrations enabling AI agents to perform actions and automate tasks programmatically.
• Document end-to-end onboarding processes across multiple teams and functions.
• Convert process documentation into Markdown templates and maintain repositories.
• Collaborate with AI and automation teams to transform manual processes into AI-enabled workflows.
• Design and maintain SOPs and knowledge artifacts for AI-enabled operations.
• Work with stakeholders to define process requirements, success criteria, and automation opportunities.
• Support UAT by preparing test scenarios, validating AI use cases, and coordinating defect resolution.
• Ensure documentation is accurate, standardized, and governance-aligned.
• Identify opportunities for process simplification and standardization.

Skills

Process engineering

BPMN

Documentation

Analytical skills

Communication skills

Education

Bachelor's degree in Engineering, Computer Science, Information Technology, Business, or a related field

Tools

Markdown MD

Confluence

Jira

Job description

Process Engineer (AI Process Optimization & Automation) | Experience - 57 Years

Job Summary

We are seeking a highly motivated Process Engineer with experience in process engineering, business process improvement, and AI-driven automation initiatives. The ideal candidate will work closely with Architecture, Engineering, Operations, Security, and Application teams to analyze, optimize, and standardize enterprise processes. This role focuses on documenting current-state processes, identifying automation opportunities, and collaborating with AI teams to enable intelligent, scalable workflows.

Key Responsibilities

Lead process discovery and process engineering initiatives with a focus on AI-driven optimization and automation.

Facilitate cross-functional workshops with Architecture, Engineering, Operations, Security, and Application teams to understand existing processes and identify improvement opportunities.

Analyze current business and operational processes, identify inefficiencies, and recommend optimized future-state workflows.

Design and manage cross-platform integrations that enable AI agents to perform actions and automate tasks programmatically Document end-to-end application onboarding processes across multiple teams and business functions.

Convert process documentation into standardized Markdown (MD) templates and maintain process repositories.

Collaborate with AI and automation teams to transform manual processes into AI-enabled workflows and intelligent automation solutions.

Design and maintain reusable process templates, knowledge artifacts, and standard operating procedures (SOPs) for AI-enabled operations.

Work with stakeholders to define process requirements, success criteria, and automation opportunities.

Support User Acceptance Testing (UAT) by preparing test scenarios, validating AI-enabled use cases, documenting results, and coordinating defect resolution.

Ensure process documentation is accurate, standardized, and aligned with organizational governance and compliance requirements.

Continuously identify opportunities for process simplification, standardization, and operational excellence.

Required Skills & Qualifications

Bachelor's degree in Engineering, Computer Science, Information Technology, Business, or a related field. 57 years of experience in Process Engineering, Business Process Management, Process Improvement, or Digital Transformation initiatives. Strong understanding of process mapping techniques (BPMN, flowcharts, SIPOC, value stream mapping, etc.). Experience facilitating stakeholder workshops and requirement-gathering sessions. Strong documentation skills with experience creating process documentation and knowledge articles. Experience converting documentation into Markdown (MD) format. Understanding of AI, Generative AI, Intelligent Automation, or workflow automation concepts. Experience working with cross-functional enterprise teams. Strong analytical, problem-solving, and communication skills. Experience with UAT planning, execution, defect tracking, and validation.

Preferred Skills

Exposure to AI/ML-based process automation platforms. Experience with Microsoft Visio, Lucidchart, Miro, Confluence, Jira, or similar collaboration tools. Familiarity with Agile/Scrum delivery methodologies. Knowledge of process mining tools and workflow automation platforms. Experience with enterprise application onboarding or IT operations processes. Certification in Lean, Six Sigma, BPM, or Process Excellence is an added advantage.

Key Competencies

Process Engineering Business Process Analysis Process Documentation AI Process Enablement cross-platform integrations Process Standardization Stakeholder Management Workshop Facilitation Business Analysis UAT Coordination Continuous Improvement Knowledge Management Cross-functional Collaboration Problem Solving Communication & Presentation Skills Process Engineer (AI Process Optimization & Automation) | Experience - 57 Years

Job Summary

We are seeking a highly motivated Process Engineer with experience in process engineering, business process improvement, and AI-driven automation initiatives. The ideal candidate will work closely with Architecture, Engineering, Operations, Security, and Application teams to analyze, optimize, and standardize enterprise processes. This role focuses on documenting current-state processes, identifying automation opportunities, and collaborating with AI teams to enable intelligent, scalable workflows.

Key Responsibilities

Lead process discovery and process engineering initiatives with a focus on AI-driven optimization and automation. Facilitate cross-functional workshops with Architecture, Engineering, Operations, Security, and Application teams to understand existing processes and identify improvement opportunities. Analyze current business and operational processes, identify inefficiencies, and recommend optimized future-state workflows. Design and manage cross-platform