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Adobe brand and Bangalore location increase competition, but senior specialized AI architect role reduces applicant density.
Role requires deep GenAI, LLM and MLOps expertise, making cross-industry transfers harder.
Explicit 10+ years plus mandatory AI, cloud, and MLOps skills enforce strict shortlisting.
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Lead end-to-end design, architecture, and delivery of production-grade conversational and agentic AI platforms with focus on scalability, security, and performance.
Own solution architecture from business problem framing through prototype, deployment, and operational readiness, actively coding and unblocking teams in complex GenAI engagements.
Establish AI best practices including data governance, model management, MLOps, and ensure compliance with regulatory and ethical standards.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.
10+ years in software architecture with at least 3 years focused on AI/ML solution design and implementation.
Strong proficiency in Python, SQL, JavaScript, AI/ML frameworks (TensorFlow, PyTorch, etc.), and cloud/container technologies (Azure, AWS, GCP, Docker, Kubernetes).
Ability to travel domestically or internationally for customer engagements as required.
Experienced technical leader who actively codes and supports complex AI/GenAI delivery projects end-to-end, not just advisory.
Deep expertise in designing and implementing Agentic AI and LLM applications with strong skills in MLOps and AI orchestration frameworks.
Comfortable collaborating with cross-functional and multicultural teams, and mentoring technical teams in AI adoption and deployment best practices.