Soultion Architect/ Functional Consultant -Manufacturing Ai

JOB TITLE:– Solution Architect, Manufacturing AI

Job Type: Full-Time (Hybrid)

Work Location: Hyderabad

We are growing rapidly and are looking for a Solution Architect – Manufacturing AI who will serve as the strategic bridge between customers, Product Management, UX, and Engineering—translating complex manufacturing requirements into scalable, high-impact AI/ML solutions.

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: Design high-level, commercially viable AI/ML solution architectures and workflows (e.g., predictive maintenance, batch and process optimization).

• 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: Act as the primary bridge between customer needs and technical execution by converting business requirements and operational constraints into actionable technical specifications, data requirements, and model objectives.
• 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 accurate feature engineering and model design.

III. Influence & Governance

• Product Roadmap Influence: Shape the Manufacturing AI roadmap through validated customer 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: Support high-stakes customer engagements, solution presentations, and PoC scoping as the manufacturing and AI domain expert.

Required Professional Qualifications

Education & Experience

• Education: Bachelor’s degree in Mechanical, Industrial, Manufacturing, Chemical Engineering, or a related quantitative field. A Master’s degree is a plus.
• Experience: 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, SCADA, PLCs) 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.

About NTWIST

NTWIST empowers industrial enterprises—including mining, manufacturing, metals, energy, and other resource-intensive operations—to achieve operational excellence through AI/ML-driven optimization. Our advanced products improve throughput, reduce costs, and support sustainability by lowering waste, energy usage, and emissions in continuous and discrete process environments. To know more visit www.ntwist.com

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

Job Type: Full-time

Ability to commute/relocate:

• Rangareddy, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• How would you rate your Full Stack Web Development skills — particularly in How would you rate your Full Stack Web Development skills — particularly in React, Node.js, HTML, JavaScript, and CSS — on a scale of 1 to 10

Work Location: In person