Consultant (UiPath, Azure, AWS, Agentic AI)

ELLIOTT MOSS CONSULTING PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a professional to lead the transformation of business processes using agentic AI technologies. You will analyze current workflows, identify opportunities for improvement, and collaborate with stakeholders to design AI-embedded solutions. The ideal candidate has 5–7 years of experience in business process re-engineering, expertise in AI platforms, and a strong ability to translate complex AI capabilities into measurable business value.

Qualifications

• 5–7+ years of experience in business process re-engineering with AI initiatives.
• Expertise in agentic AI platforms and orchestration frameworks.
• Strong understanding of workflow redesign and process automation techniques.

Responsibilities

• Analyze and document current business processes to identify inefficiencies and opportunities for AI.
• Lead design thinking workshops for AI-driven process solutions.
• Define and track KPIs for process improvement and automation impact.

Skills

Ownership mindset

Translate AI capabilities

AI governance and ethics

Finance operational improvements

Education

Bachelor’s or Master’s degree in Business Administration, Engineering, Management, Computer Science

Tools

LangChain

CrewAI

AutoGen

Job description

Job Description

• The primary purpose of this role is to lead the transformation of business processes using agentic AI technologies, reimagining workflows to enhance automation, adaptability, and operational efficiency.
• The role involves analyzing existing processes, identifying opportunities for AI-driven improvements, and collaborating with stakeholders to design future-ready, AI-embedded workflows.

Key Responsibilities

• Business Process Analysis & Opportunity Identification Analyze and document current business processes to identify inefficiencies, bottlenecks, and opportunities for agentic AI integration.
• Assess processes for autonomous decision-making potential and dynamic pathway optimization.
• Work with stakeholders to translate operational challenges into AI-enabled transformation opportunities.
• AI-Enabled Workflow Redesign Lead design thinking workshops to co-create next-generation, AI-driven process solutions aligned with business goals.
• Re-engineer end-to-end workflows, shifting from linear models to adaptive, agent-based systems.
• Reduce manual interventions while improving agility, accuracy, and consistency of outcomes.
• Use Case Evaluation & Solution Frameworks Define and apply structured frameworks for assessing AI use cases—including feasibility, value realization, and risk evaluation.
• Prioritize AI initiatives based on strategic alignment, business impact, and technical readiness.
• Cross-Functional Collaboration & Implementation Support Partner with business stakeholders, product teams, and technical counterparts to embed AI, automation, and digital tools into redesigned processes.
• Support governance structures and operating models to ensure scalable, secure, and sustainable AI implementation.
• Facilitate change management to enable seamless adoption of AI-enhanced workflows.
• Performance Measurement & Continuous Improvement Define and track KPIs to measure process improvement, automation impact, and business value delivered.
• Develop continuous improvement plans to optimize AI-driven workflows and enhance performance over time.

Qualifications & Experience

• Bachelor’s or Master’s degree in Business Administration, Engineering, Management, Computer Science, or a related field.
• 5–7+ years of experience in business process re-engineering, with proven delivery of AI or automation initiatives.
• Expertise in agentic AI platforms and orchestration frameworks such as LangChain, CrewAI, AutoGen, or similar.
• Strong understanding of workflow redesign, process automation techniques, and Lean/Six Sigma methodologies.
• Experience facilitating design thinking sessions and managing multi-stakeholder engagement.
• Knowledge of cloud services and AI lifecycle management (CI/CD, MLOps) is preferred.

Required Skills

• Demonstrated ownership mindset with the ability to navigate ambiguity in AI-driven transformations.
• Ability to translate complex AI capabilities into clear business value and measurable impact.
• Familiarity with AI governance, ethics, compliance, and responsible AI frameworks.
• Experience applying agentic AI to operational improvements in finance, procurement, or technology operations is a strong advantage.