Description **AI Solutions Architect

Location: Chennai, India** Required Language: English Employment Type: Full Time **Seniority Level: Mid-Level

Travel: 10 %** Role Overview We are seeking an experienced AI Solution Architect to lead the design and execution of enterprise-wide AI solutions across both Commercial and Operations functions . This role will serve as a strategic bridge between business priorities and advanced AI capabilities, driving measurable business outcomes through scalable and integrated solutions.

The role will play a critical part in shaping the organization’s AI strategy, leveraging the Microsoft ecosystem (Azure AI, Dynamics 365, Power Platform, Teams, Outlook) alongside enterprise systems such as SAP ERP , to unlock value across revenue growth, operational efficiency, and decision intelligence.

Key Responsibilities

- Drive Revenue Growth & Commercial Excellence
- Design and deploy AI-driven capabilities such as: Lead prioritization models, Opportunity scoring and pipeline intelligence, Next-best-action recommendations
- Improve sales productivity through workflow automation and intelligent insights
- Build integrated commercial analytics across CRM, marketing, and customer datasets
- Enable visibility into pipeline health, conversion metrics, and forecast performance
- Strengthen Forecasting & Business Analytics
- Develop advanced forecasting models using historical, market, and behavioural data
- Standardize key commercial KPIs across regions and business units
- Build scalable self-service analytics layers for business teams
- Establish strong data governance frameworks ensuring accuracy, lineage, and transparency
- Optimize Supply Chain & Operations
- Implement AI-led demand planning and predictive analytics models




- Improve inventory management through optimized policies and planning parameters
- Develop simulation models for supply-demand and capacity planning
- Partner with manufacturing and supply chain teams to embed predictive insights into decision-making
- Reduce Supply Chain & Logistics Costs
- Build optimization models for: Transportation and routing; Network design and logistics planning
- Identify key cost drivers and efficiency opportunities in supply chain operations
- Implement early-warning systems for disruptions and delays
- Recommend data-driven improvements in planning cycles and network efficiency
- Architect Enterprise AI Ecosystem
- Define and govern enterprise-wide AI architecture across: Commercial systems (CRM, marketing tools); Operations systems (ERP, manufacturing platforms)
- Establish robust integration patterns across ERP, CRM, and collaboration platforms
- Design scalable, secure, and governed data pipelines
- Standardize data models, taxonomies, and semantic layers across functions
- Lead Adoption & Change Management
- Drive enterprise-wide AI adoption through: Role-based training programs; Communication strategies and playbooks
- Build and manage a network of business champions
- Track adoption metrics, value realization, and performance impact
- Partner with business leaders to drive process transformation and behavioural change

Key Stakeholders

- Growth & Innovation Teams




- IT & Digital Functions
- Commercial Leadership
- Manufacturing & Supply Chain Teams
- OpCo General Managers
- Corporate Functions (Finance, HR)

Scope

- Selection of AI models, solution architecture, and analytics approaches
- Technology stack decisions within Microsoft and Azure ecosystem
- MLOps strategy, deployment, and release cycles
- Prioritization of technical scalability and system improvements
- Business case development and AI investment decisions
- Data governance, privacy, and compliance alignment
- KPI definition and process design with commercial and operations leaders

Qualifications & Experience Education

- Bachelor’s degree in computer science, Data Science, Engineering, or related field
- Master’s degree preferred

Experience

- 10–15+ years in AI/analytics, solution architecture, or enterprise data platforms
- Proven experience in deploying AI solutions at scale in enterprise environments
- Solid exposure to Microsoft ecosystem (Azure AI, Power Platform, Dynamics 365)
- Experience working with ERP systems (SAP preferred)
- Background in manufacturing, supply chain, or operations analytics is highly desirable

Technical & Functional Expertise

- AI/ML model development and deployment
- Data modelling, integration frameworks, and automation
- Commercial analytics and sales pipeline optimization
- Supply chain analytics and optimization techniques
- Cloud architecture (Azure) and MLOps practices

Why This Role Matters This role is pivotal in transforming the organization into a data-driven, AI-enabled enterprise —unlocking value across revenue growth, customer engagement, and operational excellence while establishing a scalable and future-ready AI foundation.

📌 AI Solutions Architect (Chennai)
🏢 Buckman
📍 Chennai