Gen AI Tech Lead | Westlake TX (Onsite)
Virtusa
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•           Technical Execution:
•           Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude).
•           Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI).
•           Architect scalable and secure AI pipelines for data processing, training, and deployment.
•           2+ years of hands-on experience with generative AI technologies and large language models
•           Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services
•           experience building Gen AI solutions with AWS Bedrock
•           Strong programming skills in Python, with experience in AI/ML frameworks
•           Knowledge of prompt engineering, fine-tuning, and model optimization techniques
•           Innovation & R&D:
•           Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps.
•           Drive experimentation with new models, prompt engineering, and domain-specific adaptations.
•           Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement.
•           Governance & Ethics:
•           Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws.
•           Establish monitoring systems to track model performance, drift, and user feedback in production.
•           Required Qualifications:
•           Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
•           10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects.
•           Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP).
•           Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques.
•           Proven track record of delivering GenAI applications in enterprise or production environments.
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Neha Chaudhary |
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