Senior AI Engineer / Developer
Lonza Biologics Inc. (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 25–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and operate scalable end-to-end AI applications, agents, and services addressing prioritized business opportunities in an enterprise environment.
- Own technical solutions from prototype through production and operational support, ensuring performance, reliability, security, and compliance in regulated settings.
- Develop and contribute reusable AI assets, MLOps pipelines, automated testing frameworks, and AI lifecycle management tools to accelerate enterprise AI adoption.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, AI, Data Science, Software Engineering, or related field.
- Proven experience designing and deploying AI/ML/Generative AI solutions in enterprise environments including LLMs, RAG, agent systems, embeddings, and prompt engineering.
- Strong software engineering skills with cloud-native architectures, APIs, CI/CD, Infrastructure-as-Code, MLOps/LLMOps, and operational monitoring.
- Work Experience Required: Not explicitly mentioned in the JD. Experience in regulated industries (e.g., life sciences, healthcare, pharmaceuticals) is advantageous but not mandatory.
Ideal Candidate Profile
- Technically autonomous engineer comfortable owning AI solution delivery across full lifecycle from prototype to production and operational support in regulated, enterprise settings.
- Experienced in cross-functional collaboration with IT, Data Engineering, Security, and Compliance teams to meet tech, security, and regulatory standards.
- Skilled in building scalable, secure, maintainable AI pipelines and reusable platform assets leveraging cloud-native and responsible AI principles.