Chief AI Strategy Officer

2 days ago

Nellore, Andhra Pradesh, India beBeeArchitecture Full time ₹ 1,20,00,000 - ₹ 2,01,00,000

Lead AI Architect

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  • The role of an AI Lead Architect is a key position within the organization, focusing on AI and GenAI driven problem discovery, root cause analysis, and action recommendation modules. This individual will provide architectural leadership to evolve AI and GenAI models to solve critical business problems at scale.

  • Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation: The Lead Architect will lead a team in developing and deploying advanced LLM, SLM, and RAG based models, along with classical machine learning models, including anomaly detection, predictive analytics, causal inferencing, and action recommendation models. These models will autonomously discover problems, identify root causes, and recommend actions in real-time and batch processing scenarios.

  • Gen-AI-Powered Analysis and Insights Generation: The Lead Architect will lead data scientists in creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery. These models will translate complex data patterns and root cause findings into actionable, natural language insights for stakeholders. The Lead Architect will implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights.

  • Reference Architectures: The Lead Architect will work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. They will adapt reference architectures that operationalize AI and Gen-AI models optimally in both batch and real-time modes.

  • Client Deployments of the Platform: The Lead Architect will consult and provide guidance for creating automated data pipelines for raw data and engineered features, ensuring data quality, integrity, and accessibility for model training and inference. They will help establish robust MLOps and LLMOps practices, including automated model monitoring, retraining triggers, and performance benchmarking, including assessment of model accuracy and drift parameters and the business impact.

  • Development of Use Cases: The Lead Architect will lead and support development of use cases on the platform for various vertical-specific problem statements. They will support platform demonstration meetings by participating and leading discussions around explanation of platform capabilities and fitments.

  • Leadership and Collaboration: The Lead Architect will lead and mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies, and coding standards. They will collaborate closely with product managers, data engineers, and business analysts to align AI solutions with organizational goals and user requirements in accordance with the roadmap.

  • Pre-sales: The Lead Architect will support pre-sales, marketing hyper-scaler partnerships, and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of engagements. They will contribute to developing proposals, POVs, and other POC read-outs to support client development efforts.

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