Senior AI Architect

Job Summary

Senior AI Architect, will be responsible for designing, developing, and deploying advanced AI solutions across a variety of business domains.

This role will work on projects that include Generative AI, document and voice intelligence, predictive maintenance, and Agentic AI.

This is a hands-on, technical role where you'll be building end-to-end AI systems that are both powerful and scalable, ensuring they solve real-world business problems with a focus on autonomy, efficiency, and innovation.

You will leverage your expertise in machine learning, deep learning, and AI system architecture to create intelligent systems capable of making autonomous decisions, improving business processes, and optimizing operations.

You will also collaborate across multiple teams to integrate these solutions into broader business workflows.

Responsibilities (Specific tasks, duties, essential functions of the job)



* Advanced AI Architecture and Development:
+ Architect and build end-to-end AI solutions, focusing on machine learning (ML) and deep learning (DL) models, ensuring compliance with data privacy and security best practices when handling sensitive data.
+ Integrate privacy-preserving techniques such as differential privacy in model development to protect user information during training without compromising model performance.


* Generative AI and Deep Learning Expertise:
+ Develop and deploy advanced Generative AI models (e.g., transformers, GANs) for business applications, ensuring that the models adhere to security guidelines to prevent vulnerabilities like data poisoning or adversarial attacks.
+ Implement secure practices in Synthetic Data Generation, ensuring models can be trained on non-sensitive data when needed, addressing privacy concerns.


* Predictive and Prescriptive Analytics:
+ Build and optimize predictive maintenance models using advanced techniques such as time-series forecasting and anomaly detection, while ensuring sensitive data remains encrypted and handled according to privacy regulations.
+ Design prescriptive analytics solutions that recommend actions to improve efficiency, ensuring that all data processing adheres to internal data security standards.


* Autonomous Systems and Agentic AI:
+ Lead the design of autonomous AI systems (including reinforcement learning and multi-agent systems) with robust security measures to prevent unauthorized access or manipulation of the system’s decision-making process.
+ Ensure compliance with data protection regulations while developing autonomous agents that analyze sensitive business data for decision-making.


* AI-Driven Natural Language Processing (NLP):
+ Innovate in document intelligence and NLP solutions, applying privacy-preserving techniques to ensure that personal data in documents, emails, or voice interactions is not exposed during analysis.
+ Implemen...