Lead - AI Engineering, Automation & Digital Transformation

We are seeking a visionary and hands-on Lead - AI Engineering, Automation & Digital Transformation to drive enterprise-wide AI adoption, intelligent automation, and digital transformation initiatives from strategy through execution. This role demands a seasoned leader with deep expertise in AI/ML engineering, agentic AI, and process automation, with proven experience in transforming business operations and managing high-performing teams. The ideal candidate will work closely with CxO’s office, GM IT and Senior Directors and business teams to embed AI-driven decision-making, operational efficiency, and innovation across the organization.

Description

• Lead and manage a cross-functional team of AI engineers, automation developers, and digital transformation specialists, fostering technical excellence and collaboration.
• Architect, implement, and scale AI/ML solutions and agentic AI platforms using Azure OpenAI, AWS Bedrock, Databricks, and modern LLM frameworks.
• Design and deploy intelligent automation solutions (RPA, workflow orchestration, document intelligence) using platforms such as Power Automate, UiPath, and Azure AI services.
• Build, fine-tune, and operationalize machine learning and GenAI models - including forecasting, recommendation, NLP, and computer vision use cases - with robust MLOps practices.
• Drive the digital transformation roadmap: identify high-impact use cases, build business cases, and deliver measurable ROI through AI and automation initiatives.
• Establish and enforce Responsible AI and governance practices including model documentation, bias monitoring, explainability, security, and access controls.
• Collaborate with stakeholders to translate business needs into AI-powered solutions, reengineering processes end-to-end rather than automating inefficiencies.
• Oversee integration of AI agents and copilots into enterprise systems (ERP, CRM, BI platforms), ensuring multi-level data security and governance.
• Lead automation and AI use cases (e.g., chatbots, AI agents, predictive models, intelligent document processing) to reduce operational effort and cost.
• Present insights, use-case pipelines, and strategic recommendations to executive leadership including CEO, Chairman, and Directors.

Qualifications, Experience, & Skills

Required Experience & Skills:

• 6+ years of hands-on experience across AI/ML engineering, automation, and digital transformation.
• Proven leadership in managing AI/automation teams and delivering enterprise-scale solutions.
• Expertise in Python, LLM frameworks (LangChain/LangGraph), Azure OpenAI, AWS Bedrock, and API/microservices integration.
• Strong proficiency in RPA and workflow platforms (Power Automate, UiPath), Azure AI services, and MLOps tooling.
• Deep understanding of GenAI, agentic AI architectures, prompt engineering, and model lifecycle management.
• Strong communication, stakeholder engagement, and program management skills.
• Experience in use-case discovery, business-case development, and delivering high-impact, ROI-driven solutions.
• Demonstrated success in scaling AI and automation use cases for operational efficiency, cost reduction, and forecasting.

Preferred Qualifications

• Bachelor’s or master’s degree in computer science, AI/Data Science, Engineering, or related field.
• Certifications in Azure AI or AWS ML; RPA (UiPath/Power Platform) certifications are a plus.
• Experience in FMCG/Food manufacturing industries