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Tier-1 brand, metro location, and a popular mid-level AI engineering role increase competition.
Role requires specialized ML/LLM and enterprise integration skills, but technologies are transferable across industries.
Explicit 5+ years plus mandatory ML/LLM, cloud, and RPA skills create strict screening filters.
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Lead end-to-end AI automation architecture including ingestion, orchestration, model inference, human-in-the-loop, and monitoring.
Design and build AI automation solutions leveraging Microsoft Power Platform and AWS Bedrock with secure, scalable deployments across Azure and AWS.
Develop APIs, microservices, integrate AI with RPA platforms (Power Automate, UiPath), lead design and security reviews, and document operational runbooks.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
5+ years of software engineering experience with hands-on AI, frontend, and backend development.
Experience building AI/ML or LLM-based production applications.
Familiarity with Azure services (Azure OpenAI, Functions, AKS), AWS services (Bedrock, Lambda), RPA tools (Power Automate, UiPath), cloud security, and container orchestration.
Experienced in integrating AI automation with enterprise systems like ERP, CRM, and ITSM to improve operational efficiency and business agility.
Skilled in secure AI system design including privacy, governance, and threat modelling in multi-cloud environments.
Proficient in collaborating cross-functionally to define automation roadmaps and metrics in fast-paced, innovative settings.