Ferguson India
Website:
masseyfergusonindia.com
Company:
https://www.linkedin.com/company/ferguson-global-services-india-private-limited
Seniority: Mid-Senior level
Industries: Wholesale
Job details:
About Ferguson:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
Lead Builder, AI Studio (Low Code/No Code)
Department: AI Center of Excellence (AI CoE)
Location: Remote – Off Shore
Role Summary:
We are seeking a systems-minded, collaborative, and hands-on Lead Builder, AI Studio (Low Code/No Code) to join our AI Center of Excellence. This role is a direct report to the Senior Manager of the AI CoE.
This is not a traditional software engineering or coding role. Instead, we are looking for a systems thinker and business analyst who builds. You will design, configure, and scale intelligent agents, custom copilots, and multi-step workflows using enterprise low-code/no-code platforms, primarily Microsoft Copilot Studio and agentic building capabilities in Gemini Enterprise.
In this role, you will look at business problems through a "systems thinking" lens—understanding that an agent is not just a standalone tool, but part of a larger business process and ecosystem. You will translate ambiguous business requirements into highly structured, reliable agent behaviors.
Furthermore, you will champion and execute our standard Agentic Governance-by-Design Architecture—a repeatable methodology where data boundaries, human escalation points, safety, and compliance are built directly into the agent’s core logic from day one. As the Lead Builder, you will also coach, mentor, and establish templates for other builders across the enterprise, ensuring that our AI capabilities scale responsibly as technology changes.
Our Build Methodology:
The AI Studio operates under a structured Agentic Governance-by-Design methodology. In this approach:
- Governance is built into the agent’s architecture from the very beginning rather than reviewed only after it is built.
- Knowledge sources, connected systems, and instructions are designed to establish strict operational, data, compliance, and legal boundaries.
- The Lead Builder is expected to adopt, follow, and champion this methodology and help adapt and evolve the playbook as AI technologies and enterprise standards shift.
Key Responsibilities:
Agentic Building & Platform Delivery:
- Low-Code/No-Code Configuration: Design, build, and deploy production-ready AI agents, workflows, and multi-turn conversational experiences using Microsoft Copilot Studio, Gemini Enterprise and other agent/workflow development tools.
- Reusable Components: Partner with core engineering and IT teams to leverage and integrate enterprise-standard APIs, databases, and reusable custom connectors.
- Rapid Prototyping & Iteration: Build rapid, high-quality proof-of-concepts, utilizing a governance-first configuration model.
- Production Hardening & Observability: Extend solutions beyond prototyping by embedding observability, monitoring, and performance optimization to ensure scalable, reliable, and enterprise-ready deployments.
Business Systems Analysis (BSA) & Systems Thinking:
- Workflow Translation: Work closely with business teams to deconstruct manual processes and map out structured, logical agent behaviors.
- Systems Architecture: Analyze how an agent fits into the broader department workflow, identifying data flows, systems dependencies, and integration touchpoints.
- Guardrail Definition: Explicitly define what data an agent is allowed to access, which actions require a human-in-the-loop, and when the agent must escalate to a human operator.
Executing Governance-by-Design:
- Architect Governance: Configure agents so that their prompt structures, knowledge directories, and operational guardrails function as an active "operating model" for safety, privacy, and compliance.
- Advanced Diagnostics & Lifecycle Management: Rigorously test built agents using realistic, vague, boundary-crossing, and missing-data prompts. Diagnose failures systematically by updating the root control layers rather than stacking superficial prompt instructions.
- Compliance Alignment: Work closely with Legal, InfoSec, Privacy, and Risk teams early in the design phase to align each agent’s boundaries with corporate risk policies.
Leadership, Coaching & Enablement:
- Lead Other Builders: Serve as the lead builder and point of contact for federated, self-serve, or citizen builders across different business units.
- Enablement & Best Practices: Translate the CoE's governance methodology into actionable playbooks, templates, and lightweight self-serve checklists for lower-risk, citizen-developed agents.
- Continuous Mentorship: Coach and guide other builders on prompt configuration, system design, and platform features.
Required Qualifications:
- Systems Thinking & Business Analysis: 4+ years of experience in Business Systems Analysis (BSA), process improvement, systems thinking, or a closely related role. Must have a proven track record of mapping complex workflows and translating business needs into structured logical designs.
- Low-Code/No-Code Builder Experience: 2+ years of hands-on experience building, testing, and deploying production-grade digital solutions using low-code/no-code platforms.
- Primary Platform Expertise: Demonstrated proficiency configuring agents, copilots, and automated workflows using Microsoft Copilot Studio, Gemini Enterprise (e.g., Vertex AI Agent Builder), and complementary workflow orchestration tools such as Power Automate, n8n, or Zapier.
Agent designer:
- Governance & Risk Focus: A strong respect for and understanding of enterprise governance, data security, and privacy considerations. Experience working within governed frameworks (e.g., NIST, Secure-by-Design, or Privacy-by-Design) is highly desired.
- Adaptability: Comfort with a rapidly changing technology environment; ability to adopt new methodologies, learn new platforms quickly, and adapt build strategies as tools evolve.
- Collaboration & Communication: Outstanding communication skills. Must be highly effective at working directly with business stakeholders to extract requirements, as well as collaborating with IT, InfoSec, and compliance teams.
Preferred Qualifications:
- Experience working within an established Center of Excellence (CoE) or Shared Services model.
- Familiarity with general software development life cycle (SDLC) concepts, even if not a traditional developer.
- Experience building or deploying Generative AI use cases (e.g., RAG/Retrieval-Augmented Generation models, custom prompt engineering, or semantic search).
- Industry certifications in Microsoft Power Platform, Google Cloud, or similar low-code/no-code environments.
Click on Apply to know more.
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