AI Process Automation / Agentic Workflow Engineer & Coach IRC301639

Description

• Primary Project Objective:
  
  
  

– Company-Wide AI-First transformation: This is not a simple pilot project or an isolated experiment. The company is undergoing a massive reorganization of how work gets done.

– Paradigm shift (Agentic Workflows): The goal is NOT to use AI as a productivity add-on (e.g., an email writer or drafting assistant), but to have AI agents execute core work while humans shift to managing and governing those processes.

• Duration, format, and engagement model:
  
  
  

– Duration: 6–9 months (a medium-to-long-term engagement focused on sustainability, not a quick, surface-level delivery).

– “Embedded” Operating Model: Engineers will not work in isolation within an IT or R&D department. They will be embedded directly inside functional business units (Finance, HR, Marketing, Operations, etc.), working side-by-side with process owners.

– Non-SDLC scope: This project has no connection to traditional software engineering (Software Development Life Cycle). It focuses exclusively on operational business workflows outside of IT.

• Team architecture & collaboration model
  
  
  

– The project relies on a paired team model (Engineer + Champion):

– 1-on-1 Pairing: Each engineer will be paired directly with a designated “AI Champion”—a business-side Subject Matter Expert (SME) owning their function’s use cases.

– Mentorship & coaching: The AI Champion will be undergoing parallel training. The engineer’s role is to coach them on live, real-world use cases, taking them from early-stage adoption to full autonomy.

• Tech stack & design philosophy
  
  
  

– Technology Ecosystem: The project is anchored primarily in Claude (Anthropic)—its models, ecosystem, and agent orchestration capabilities.

– Design philosophy: Complete Reorchestration (As-Is to To-Be): Rather than taking an existing process and “bolting” AI onto the end, the workflow is deconstructed and rebuilt from scratch.

– Clear task delegation: Precise definition of what work is delegated to agents versus what is retained for human oversight (Human-in-the-Loop).

• Ultimate success metric (Primary KPI)
  
  
  

– Enablement & Self-Sufficiency: This is explicitly NOT a “build-and-walk-away” engagement. Success is not measured merely by shipping functional code or workflow builds.

– The real benchmark: Success is measured by what the AI Champion can independently do (extend, troubleshoot, and evolve the workflow) at the end of the engagement without the engineer’s help.

• Human & cultural challenges (Change Management)
  
  
  

– Skepticism and Fear: The client explicitly notes that non-technical business owners may be unfamiliar with, wary of, or hesitant about agentic AI (fear of job displacement, lack of trust in agents).

– Critical Nneed for high EQ: The project’s success hinges just as much on the engineer’s interpersonal skills (empathy, patience, coaching, trust-building) as it does on their technical prompt engineering or agent architecture skills.

Requirements

AI-First & Agentic workflows experience: Proven experience designing and implementing AI agent-based workflows (specifically within the Claude / Anthropic ecosystem or similar orchestration platforms).

Business process re-engineering: Demonstrated ability to map as-is manual/semi-automated business processes and redesign them from scratch into AI-first operating models (rather than just adding AI as a productivity plugin).

Coaching & mentorship track record: Experience training and upskilling non-technical business users (ability to teach, shadow, and effectively transfer knowledge).

Business experience & stakeholder management: Experience working directly with functional business stakeholders outside of IT/Software Engineering (e.g., Finance, HR, Operations, Marketing, Legal).

High emotional intelligence (EQ): Exceptional ability to build trust, manage change, and overcome reluctance or fear from stakeholders skeptical about agentic AI.

Engagement availability: Ability to commit to a 6–9 month embedded engagement, working closely side-by-side with designated business owners.

Soft / Interpersonal Skills

– Emotional intelligence (EQ) & empathy: Ability to actively listen, understand operational pain points, and ease anxieties around AI-driven process shifts.

– Pedagogical & coaching mindset: Patient, structured approach to breaking down complex technical concepts for non-technical users.

– Change management & relationship building: Strong influence skills to guide non-technical teams through major process transformations and build long-term trust.

– Critical thinking & problem solving: Ability to strip away AI hype and focus on building practical, high-value business solutions.

Job responsibilities

Workflow redesign & orchestration:

– Map current-state (As-Is) manual or semi-automated business processes.

– Identify what should be delegated to AI agents versus what must be retained by humans for governance and control (Human-in-the-Loop).

– Architecture and build redesigned (To-Be) agentic workflows built primarily in Claude.

AI Champion partnership:

– Partner 1-on-1 with a designated AI Champion (subject matter expert) within each business function throughout the entire lifecycle (from use-case selection to UAT).

– Co-select high-impact use cases suited for agentic transformation.

Enablement, coaching & knowledge transfer:

– Actively coach and guide the AI Champion to understand the underlying mechanics of the built workflows.

– Teach the Champion how to independently extend, troubleshoot, and evolve the workflows over time.

– Measure success by the Champion’s level of autonomy at the end of the engagement.

Testing & deployment:

– Facilitate User Acceptance Testing (UAT) sessions alongside business teams.

– Refine agents and workflows based on real-world feedback and edge cases.

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.