AI Solutions Architect

Jobvite, Inc.; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Jobvite, Inc. seeks an experienced AI Solution Architect to lead enterprise-wide AI initiatives across Commercial and Operations functions. You will bridge business priorities with Azure AI, Dynamics 365, Power Platform, and SAP ERP to drive measurable outcomes.

You will shape AI strategy, design scalable data pipelines, and govern analytics across CRM, ERP, and collaboration platforms, enabling data-driven decision making and value realization.

Qualifications

• 10–15+ years in AI/analytics, solution architecture, or enterprise data platforms.
• Proven experience 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).

Responsibilities

• Design and deploy AI-driven capabilities across Commercial and Operations functions.
• Strengthen forecasting and business analytics with advanced models.
• Optimize supply chain and operations using AI-led insights.
• Define and govern enterprise-wide AI architecture across CRM, ERP, and collaboration platforms.

Skills

AI/ML model development

Data integration

Azure cloud architecture

ERP systems knowledge

Education

Bachelor's degree in Computer Science/Data Science/Engineering or related field

Tools

Azure AI

Power Platform

Dynamics 365

SAP ERP

Job description

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

• 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

2. 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

3. 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

4. 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
• 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
• 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

• IT & Digital Functions
• 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

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.