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.