SAP Build Process Automation

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs.
Must have skills : SAP Build Process Automation
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent
Design and deliver AI native autonomous business process solutions using SAP Build Process Automation by combining deep workflow rules and automation expertise with agentic AI patterns (LLMs tools retrieval evaluation). This role focuses on moving from rule based automation to intelligent decision aware self optimizing processes that can interpret context recommend actions and execute workflows safely at enterprise scalewithout training foundation models from scratch.

Core Responsibilities
1) Intelligent Process Automation Design
Design build and deploy end to end business process automations using workflows business rules and automation components.
Model human in the loop and straight through processes aligned to enterprise policies controls and audit requirements.
Translate business requirements into scalable maintainable automation artifacts.
2) Workflow Rules & Decision Orchestration
Build workflows that orchestrate tasks approvals integrations and system interactions across SAP and non SAP landscapes.
Implement decision logic using business rules and decision tables with clear traceability and version control.
Design reusable automation components to reduce duplication and accelerate delivery.
3) Integration Aware Automation
Integrate automated processes with enterprise systems via APIs events and service calls.
Coordinate process execution with backend services integrations and data platforms to enable end to end automation.
Handle error scenarios compensating actions and retries to ensure reliable execution.
4) AI Native Process Intelligence (Agentic Automation Layer)
Build process agents that can:
oInterpret unstructured or semi structured inputs (requests descriptions exceptions).
oRecommend next steps or generate workflow paths dynamically within approved boundaries.
oTrigger tools and system actions through controlled auditable interfaces.
Implement retrieval grounded decision support by pulling from process documentation policies historical cases and outcomesensuring AI outputs are explainable and verifiable.
Enable conversational process interactions (e.g. start a request why is this stuck what s the best next step ) with clear confirmations and guardrails.
5) Quality Engineering & Evaluation Loops
Define automated testing strategies for workflows rules and integrations (happy paths edge cases and failure modes).
Establish evaluation harnesses for AI behavior: scenario simulations golden decision sets and outcome accuracy checks.
Gate releases of automation logic and AI prompts/tools using measurable quality thresholds.
6) Observability Monitoring & Continuous Optimization
Monitor process execution SLAs bottlenecks and exception patterns.
Use AI augmented insights to identify inefficiencies recurring failures and optimization opportunities.
Continuously refine workflows rules and AI prompts based on real execution data and feedback.
7) Governance Security & Responsible AI
Enforce role based access approvals and segregation of duties within automated processes.
Implement responsible AI guardrails: action boundaries data minimization explainability and audit logs.
Ensure compliance with enterprise risk control and regulatory requirements.
8) Automation Strategy & Enablement
Support automation roadmaps and identify candidates for intelligent automation and autonomy.
Collaborate with business IT integration and data teams to scale automation adoption.
Create standards templates and playbooks to enable consistent delivery across teams.

Primary Skills (AI Native Must Have)
Strong hands on expertise in SAP Build Process Automation (workflows rules and automation design).
Solid understanding of business process modeling orchestration and exception handling.
Experience integrating automated processes with enterprise systems and APIs.
AI native capability: agentic workflows retrieval grounded decisions evaluation loops and safe automation boundaries.

Secondary / Strongly Beneficial Skills
Business process analysis and optimization experience.
Exposure to low code/no code development paradigms at enterprise scale.
Familiarity with integration platforms and event driven architectures.
Strong documentation and change management practices for automated processes.

What This Role Does Not Center On
Training or fine tuning foundation AI models.
Simple task automation without governance observability or intelligence.

Value Delivered
Faster process delivery through reusable intelligent automation patterns.
Higher efficiency and better outcomes via AI guided decisioning and dynamic workflows.
Scalable compliant automation foundations that enable the transition from automation to autonomy.
Additional Information
A 15 years full time education is required