Job Description

Key Responsibilities:

In this role you will

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Own end to end AI automation architectures: ingestion orchestration model inference human in the loop monitoring & feedback loops.

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Design and implement AI automation solutions leveraging Microsoft Power Platform and AWS Bedrock, including defining RAG patterns, tool/function calling, prompt management, evaluation frameworks, and selecting services and reference designs across Azure and AWS for secure, scalable deployments.

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Develop APIs, microservices, and integration layers for enterprise systems (ERP, CRM, ITSM).

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Integrate AI solutions with RPA platforms (Power Automate, UiPath) and business applications.

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Contribute to internal frameworks, reusable components, and coding standards.

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Lead design reviews, threat modelling, and post incident reviews.

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Document architectures, runbooks, and knowledge articles; enable Ops for smooth handover.

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Collaborate with Product/Business to identify automation opportunities and shape roadmaps and success metrics.

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Establish guardrails, safety, privacy, and governance (PII handling, data minimization, prompt/content safety, model versioning, auditability).

Skill Requirements:

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Bachelor s or Master s degree in computer science,



Engineering, or a related technical field.

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5+ years of software engineering experience, with hands-on development in AI, frontend and backend technologies.

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Experience building AI/ML or LLM-based applications in production.

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Robust knowledge of Azure services (Azure OpenAI, Functions, AKS, API Management) and AWS services (Bedrock, Lambda, API Gateway).

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Familiarity with RPA tools (Power Automate, UiPath) and enterprise integrations.

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Understanding of cloud security, identity management, and data privacy.

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Proficiency in CI/CD pipelines, Docker, and container orchestration.

Additional Skills:

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Experience with Power Platform (Power Automate, Power Apps)

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Knowledge of subscription lifecycle management, supply chain, services, billing systems, and customer retention strategies.

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Exposure to AI/ML-driven alerting or anomaly detection systems.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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