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Tier-1 brand, mid-level generalist title, and metro location increase candidate competition.
Specialized ML/AI and automation skills are transferable across industries but often require domain-specific compliance knowledge.
Multiple mandatory skills (Glean, LLMs, RPA) and explicit 4+ years requirement increase filter strictness.
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Design, develop, and deploy AI-powered experiences using Glean for enterprise use cases including search, Q&A, and automation workflows.
Build and integrate complex Hyperautomation & AI solutions leveraging AI/ML, Generative AI, RPA, Process Mining, and no-code automation platforms across business functions.
Own end-to-end development, deployment, optimization and support of these AI and automation solutions ensuring enterprise standards for auditability, compliance, and reliability.
4+ years of professional experience with an advanced degree and minimum 2 years in Computer Science, Data Science, Business Analytics, or related field.
Strong programming skills in Python, JavaScript, or similar enterprise languages.
Experience with REST APIs, JSON, OAuth, authentication and authorization in enterprise IT environments with security/compliance constraints.
Deep technical expertise in Hyperautomation & AI technologies such as AI/ML, RPA (UiPath, Automation Anywhere etc.), Databricks, Snowflake, and Cloud computing platforms.
Experienced in designing and implementing sophisticated AI and automation platforms with practical knowledge of LLMs, prompt engineering, information retrieval (RAG), and unstructured enterprise data.
Hands-on builder of AI search and knowledge experiences using Glean including connectors, prompt frameworks, workflows, and security configuration.
Comfortable working across cross-functional teams communicating technical solutions to non-technical stakeholders and aligning automation initiatives with business goals.