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Bangalore metro, known enterprise brand and broad AI skill requirements increase competition modestly.
AI engineering skills transfer across industries but enterprise integration and compliance needs increase domain specificity.
Specific AI frameworks, production and cloud requirements raise filtering even though no explicit years stated.
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Own end-to-end delivery of AI-powered modernization solutions including scoping, prototyping, implementation, production rollout, adoption, and optimization.
Collaborate directly with strategic customers to translate complex business problems into practical AI and modernization technical solutions using Generative AI, Agentic AI, and cloud technologies.
Drive measurable customer outcomes by integrating AI systems with enterprise APIs, data sources, and operational workflows and acting as a trusted technical partner.
Hands-on development experience with Python or modern languages like C#, Node.js, or TypeScript.
Strong software engineering skills across SDLC, Git/GitHub, APIs, backend services, automated testing, CI/CD, and secure engineering practices.
Experience designing or integrating AI solutions using frameworks/tools such as LangChain, Semantic Kernel, or Microsoft Agent Framework.
Work Experience Required: Not explicitly mentioned in the JD.
Broad T-shaped skills combining AI/ML, cloud, data, consulting, and delivery with deep expertise in 1-2 areas relevant to AI modernization.
Ability to operate with ownership in ambiguous and fast-moving enterprise environments focused on mission-critical technology delivery.
Experience working in regulated or mission-critical environments where reliability, security, and compliance are essential.