AI Architect Leader

This is a senior position in our Solutions group, focusing on the Incedo Lighthouse TM platform. The successful candidate will provide architectural and algorithmic leadership to evolve AI and GenAI driven problem discovery, root cause analysis and action recommendation modules within Incedo LighthouseTM.

Main Responsibilities:

• Advance AI and GenAI for Problem Discovery, RCA and Action Recommendation: Lead data scientists, GenAI developers and ML engineers to develop pipelines autonomously discovering problems, identifying root causes and recommending actions in real-time and batch processing scenarios. Ensure models are interpretable, scalable and optimized for performance in production environments at big data scale.
• Gen-AI-Powered Analysis and Insights Generation: Create and fine-tune Generative AI models assisting in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance relevance and accuracy of insights.
• Reference Architectures: Evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures supporting connected data and ML pipeline executions in real-time. Adapt reference architectures operationalizing AI and Gen-AI models optimally in both batch and real-time modes.
• Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines ensuring data quality, integrity and accessibility for model training and inference. Establish robust MLOps and LLMOps practices, including automated model monitoring, retraining triggers and performance benchmarking.
• Development of Use Cases: Lead and support development of use cases on the platform for various vertical specific problem statements. Support platform demonstration meetings by participating and leading discussions around explanation of platform capabilities and fitments.
• Leadership and Collaboration: Lead and mentor data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies and coding standards. Collaborate closely with product managers, data engineers and business analysts to align AI solutions with platform goals and user requirements in accordance with the platform roadmap.
• Pre-sales: 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. Contribute to developing proposals, POVs and other POC read-outs. Support pilot deployments at clients and strive for conversion into full programs.

Requirements:

• Deep conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI along with significant hands-on development experience in these areas.
• Able to understand nuances of business problems in various domains, quickly grasp problem discovery analysis and modelling imperatives and translate those into AI model requirements.
• Significant exposure to proprietary & open-source cloud-based Machine Learning platforms.
• Experience in leveraging open-source LLMs and prompt engineering, RAG based training and SLM model development.
• Hands-on with excellent ML programming skills in Python using open-source libraries.
• Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies.
• 12-18 years of Machine Learning model development and application experience.
• Experience in building cloud-based products that implement GenAI and ML modelling as a service.