Senior AI Engineer

Key Responsibilities

• Develop and maintain Generative AI reference architectures, focusing on LLMs, RAG, AI agents, and integration components.
• Translate complex business use cases into scalable GenAI solution architectures, ensuring they meet enterprise standards.
• Create reusable components for prompt management, embeddings, and model gateways to streamline AI solution development.
• Evaluate and integrate foundation models and GenAI platforms across cloud and on-premises environments for seamless interoperability.
• Support architecture reviews and technical feasibility assessments, providing insights for informed technology selection decisions.
• Build prototypes and production-grade GenAI solutions that align with enterprise architecture standards, ensuring high performance and reliability.
• Define and implement GenAI deployment, monitoring, evaluation, security, and governance practices for enterprise-scale operations.
• Collaborate with enterprise architects, data teams, and cybersecurity experts to accelerate GenAI adoption and integration within the organization.

Overview

• The Senior AI Engineer position at a major telecom operator is integral to innovating Generative AI solutions in the telecom sector.
• Working from Hyderabad or remotely, this role is essential in designing scalable AI architectures that adhere to enterprise standards.
• The position requires expertise in AI technologies and the ability to translate business needs into advanced AI solutions.
• This role is crucial for driving AI adoption and ensuring alignment with the organization’s strategic goals.
• As a Senior AI Engineer, you will be at the forefront of developing cutting-edge Generative AI architectures, focusing on scalability and integration within enterprise environments.
• Your work will involve collaboration with cross-functional teams to deliver AI solutions that enhance the telecom sector’s capabilities.
• You’ll play a pivotal role in shaping the AI strategy and its implementation across various platforms.
• This position demands a deep understanding of AI and ML technologies, with a particular emphasis on Generative AI and its application in telecom.
• You will be tasked with creating innovative AI solutions that meet the rigorous demands of enterprise clients, ensuring seamless integration and robust security measures.
• The role offers an exciting opportunity to work on the development and deployment of AI solutions that can revolutionize telecom services.
• You will lead efforts in AI architecture design, focusing on performance, reliability, and adherence to industry best practices.

Requirements

• 3-6 years of experience in AI/ML engineering or solution architecture, with a focus on Generative AI technologies.
• Strong proficiency in building and deploying LLMs, RAG, and AI agents, with a solid understanding of GenAI architecture patterns.
• Extensive hands-on experience with Python, APIs, cloud platforms, containers, and MLOps/LLMOps.
• In-depth understanding of enterprise integration, security, scalability, and responsible AI principles tailored for telecom applications.
• Proven experience in developing scalable AI solutions and architectures that meet enterprise standards.
• Effective collaboration skills with cross-functional teams including data scientists, enterprise architects, and cybersecurity experts.
• Ability to conduct comprehensive architecture reviews and technical feasibility assessments, ensuring alignment with business goals.