Process Engineer (AI Process Optimization & Automation) (Noida)

Visionet Systems

Dadri

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Visionet Systems is seeking a Process Engineer with 5–7 years of experience to lead AI-driven process optimization and automation initiatives. You will collaborate with Architecture, Engineering, Operations, Security, and Applications teams to analyze, document, and standardize enterprise processes and design intelligent workflows.

The role involves developing Markdown templates, enabling AI-enabled automation, and ensuring governance-aligned documentation across multiple business functions.

Qualifications

Bachelor's degree in Engineering, Computer Science, IT, or related field.
5–7 years in Process Engineering, BPM, or Digital Transformation.
Strong knowledge of process mapping (BPMN, flowcharts, SIPOC).
Experience facilitating stakeholder workshops & requirement gathering.
Proficient in creating process documentation and MD/Markdown.
Understanding of AI, Generative AI, intelligent automation concepts.
Experience with cross-functional enterprise teams.
Strong analytical, problem-solving, and communication skills.
Experience with UAT planning, execution and defect tracking.

Responsibilities

Lead AI-driven optimization and automation initiatives.
Facilitate cross-functional workshops to map and improve processes.
Analyze current processes to identify inefficiencies and design future-state workflows.
Design cross-platform integrations enabling AI actions and automation.
Document onboarding processes across teams and functions.
Convert process docs into Markdown templates and maintain repositories.
Collaborate with AI/automation teams to create AI-enabled workflows.
Maintain reusable process templates, SOPs, and knowledge artifacts.
Define process requirements and success criteria with stakeholders.
Support UAT by preparing test scenarios and coordinating defects.
Ensure documentation aligns with governance and compliance.
Identify opportunities for simplification and standardization.

Skills

Process engineering

Business process management

Process improvement

Digital transformation

Stakeholder workshops

Education

Bachelor's degree in Engineering/CS/IT or related field

Tools

Microsoft Visio

Lucidchart

Miro

Confluence

Jira

Job description

Process Engineer (AI Process Optimization & Automation) | Experience - 5 7 Years

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

Bachelors degree in Engineering, Computer Science, Information Technology, Business, or a related field.
5 7 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