AI Solutions Architect

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
• Strong 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.