AI Engineer – Agentic AI & Enterprise Automation

Job Summary

Key Responsibilities

• Design and implement enterprise agentic AI solutions across key functions, including manufacturing, finance, HR, procurement, supply chain, sales, customer service, and industrial operations.
• Develop AI assistants, copilots, autonomous agents, and workflow automation using:

+ Azure OpenAI Service

• + Anthropic Claude ecosystem
• + LLM APIs and orchestration frameworks
• Lead enterprise data lake and AI-ready platform architecture, integrating ERP, CRM, manufacturing, IoT, and operational systems.
• Partner with stakeholders to identify, evaluate, prioritize, and implement AI use cases with measurable ROI.
• Build secure AI frameworks aligned with cybersecurity, governance, compliance, and enterprise standards.
• Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.
• Design AI agents for autonomous decision support, workflow execution, predictive analysis, and recommendations.
• Establish AI governance standards, responsible AI practices, model monitoring, and prompt engineering standards.
• Collaborate with infrastructure, cloud, cybersecurity, and application teams to deploy scalable AI environments.
• Run AI innovation workshops, enable users, and build internal AI capabilities.
• Support executive leadership in defining enterprise AI strategy and the product roadmap.

Technical Skills & Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
• 3+ years of experience in AI/ML engineering, enterprise automation, or digital transformation.
• Strong hands-on experience with:

+ Azure OpenAI Service

• + Anthropic Claude ecosystem
• + LLM integration and prompt engineering
• + AI orchestration and autonomous agents
• Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.
• Understanding of data lake architecture, ETL pipelines, structured/unstructured processing, and enterprise integrations.
• Experience integrating AI solutions with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM, and industrial systems.
• Familiarity with Microsoft Azure, AWS, or Google Cloud.
• Knowledge of industrial/manufacturing environments, IoT data, predictive maintenance, and operational analytics is highly preferred.
• Experience with AI governance, cybersecurity, compliance, and enterprise architecture.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience in manufacturing or industrial sectors.
• Experience with AI agents, multi-agent frameworks, and autonomous workflow systems.
• Knowledge of Power Platform, Power Automate, Fabric, Databricks, and enterprise analytics platforms.
• AI certifications from Microsoft, OpenAI, or other leading AI platforms are an advantage.