Back
Metro Bangalore mid-level AI enablement role with common cloud/LLM skills, moderate applicant competition.
Requires AI, cloud, and enterprise SaaS experience so fit is moderately industry-specific and transferable.
Explicit 5+ years plus 2+ years AI experience and platform/architecture requirements make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead AI solution design, architecture, and implementation guidance from concept through delivery across engineering, product, and business teams.
Develop and maintain reusable AI reference architectures, enablement materials, and contribute to AI governance, security, compliance, and responsible AI standards.
Support AI initiative architecture reviews and promote best practices including operational readiness, scalability, monitoring, and team enablement through training and workshops.
5+ years experience in software engineering, architecture, cloud architecture, or enterprise architecture.
2+ years experience designing, implementing, or enabling AI and/or machine learning solutions with strong exposure to Generative AI, LLMs, and prompt engineering.
Experience with AI platforms such as Azure AI Services, OpenAI, AWS Bedrock, or Google Vertex AI.
Strong knowledge of AI security, privacy, compliance, DevOps/MLOps, and responsible AI principles.
Experienced in leading AI transformation or enablement initiatives across large organizations and implementing AI Centers of Excellence.
Skilled in developing enterprise standards, governance frameworks, and delivering AI training or technical enablement materials.
Familiarity with enterprise SaaS products, cloud platforms (Azure/AWS), and optionally ERP, supply chain, manufacturing or enterprise business applications.