Solution Architect/ Functional consultant- manufacturing AI

About the Role

As the Solutions Architect, Manufacturing AI, you are the highly specialized Subject Matter Expert (SME) responsible for translating complex, real-world manufacturing challenges into viable, high-value AI/ML solutions. You will act as the crucial strategic link between our industrial customers' operational needs and our internal Product and Development teams.Your primary mission is to deeply understand manufacturing processes, rigorously validate customer requirements, and define the technical blueprint for solutions that maximize ROI and drive the strategic direction of our SaaS AI/ML product in the industrial sector. This is an influential, autonomous, individual

contributor role.

Key Strategic & Professional Responsibilities

I. Manufacturing Domain Mastery & Customer Engagement

• Deep Operational Expertise: Serve as the definitive SME on manufacturing processes (discrete & concrete), operational workflows, equipment, and industrial data (MES, SCADA, Historians).
• Strategic Requirement Gathering: Conduct in-depth operational walkthroughs and workshops with senior client stakeholders to rigorously validate pain points and define unmet needs.
• KPI Translation: Expertly capture, analyze, and translate operational KPIs (OEE, throughput, yield,quality variability, downtime) into clear, measurable business outcomes and solution success criteria.
• Industry Trends: Advise the CPO and Product teams on emerging trends in Industry 4.0, IIoT, and AI applications to ensure our solutions maintain a market-leading advantage.

II. AI Solution Architecture & Internal Translation (The Bridge)

Solution Architecture:

• Requirements & Specifications: Translate operational insights into structured BRDs, functional

specifications, user stories, and clear success criteria for Product and Engineering teams.

• Value & ROI Modeling: Build quantified ROI models and business cases for AI features, enabling informed product investment and strong value articulation for Sales.

Business–Technical Translation:

• Cross-Functional & UX Collaboration: Partner closely with Product, UX Designers, ML Research, and Engineering teams throughout sprint planning and development to ensure workflows, dashboards,and insights align with real manufacturing processes and user personas.
• Manufacturing Data Context: Provide deep guidance on industrial data realities—including

historians, sensor quality, data gaps, batching anomalies, and operational nuances—to support

ac curate feature engineering and model design.

III. Influence & Governance

Product Roadmap Influence

requirements, feasibility assessments, and market insights.

• Solution Governance & Validation:

  Participate in design reviews, technical scoping, solution

validation, and UAT to ensure alignment with operational needs and committed business value.

Sales & Pre-Sales Enablement:

Required Professional Qualifications

Education & Experience

• Bachelor’s degree in Mechanical, Industrial, Manufacturing, Chemical Engineering, or a related quantitative field. A Master’s degree is a plus.
• 8–12+ years of professional experience, with a heavy emphasis on 5+ years in

Manufacturing Operations, Process Engineering, or industrial Digital Transformation.

• Solution Experience: Proven track record in a Solutions Architect, Senior Business Analyst, or

Solutions Consultant role, defining and scoping technical solutions (ideally AI/ML or Advanced

Analytics) for SaaS or Enterprise software clients.

Technical & Domain Skills

• Manufacturing Systems: Deep working knowledge of standard industrial systems (MES, ERP

integration) and the data generated from them.

AI/ML Product Lifecycle: Strong understanding of the end-to-end AI/ML product lifecycle, including model governance, MLOps, and the specific challenges of deploying models in a cloud-to-edge industrial environment.

• Technical Documentation: Expertise in creating clear, structured, and detailed BRDs, functional

specifications, and process flow diagrams.

Leadership & Soft Skills

• Communication & Influence: Executive-level communication with the ability to simplify AI for

operational users.

• Analytical Thinking: Structured, rigorous problem-solving and requirements analysis.
• Ownership: Operates autonomously with strong decision-making and accountability.

Interested candidates are invited to share their CVs at: grachaa@ntwist.com