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Mid-level AI engineer in metro with broad GenAI skillset increases candidate competition.
AI engineering skills are transferable, but energy sector integrations and compliance increase domain-specific fit sensitivity.
Explicit 3+ years, 2+ years GenAI plus mandatory Azure, MLOps, security and integration skills.
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Design, develop, and deploy production-grade AI applications, copilots, and multi-agent systems aligned with business requirements using Microsoft Azure and AI tools.
Implement AI lifecycle management including development, validation, deployment, monitoring, and retirement with compliance to corporate AI governance and cybersecurity standards.
Integrate AI solutions with enterprise systems (e.g., SAP, SharePoint, Microsoft 365) and support ongoing adoption, troubleshooting, and enhancement for business impact.
Bachelor's or Master's degree in Engineering, Computer Science, Data Science, AI, Software Engineering, IT, or related field.
Minimum 3 years in software, data, or AI engineering, including at least 2 years delivering AI/ML, GenAI, Copilot or advanced analytics solutions.
Experience deploying enterprise AI solutions on Microsoft Azure cloud platform.
Location: Navi Mumbai, India with willingness for periodic travel to Europe; hybrid work with up to 2 WFH days weekly.
Strong expertise in enterprise AI engineering focusing on generative AI, LLMs, agentic AI, and AI integration using Microsoft ecosystems (Azure AI Foundry, Azure OpenAI, Copilot Studio).
Experienced in cloud-native AI product lifecycle management, CI/CD pipelines, security by design, cost monitoring, and operational governance in global matrix organizations.
Background or familiarity with Energy, EPC, industrial manufacturing, engineering or capital goods sectors preferred for domain alignment with company focus.