Senior AI Solutions Developer

1 day ago

Hyderabad, Telangana, India beBeeGenai Full time ₹ 2,50,00,000 - ₹ 3,00,00,000
Lead AI Architect

Develop and implement cutting-edge generative AI architectures aligned with pharmaceutical business goals. Leverage large language models (LLMs) to drive innovation in life sciences applications.

Key Responsibilities:
  • AI Strategy & Roadmap: Collaborate with stakeholders to define and execute AI strategies that meet business objectives in pharma and life sciences.
  • Solution Design: Design scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation.
  • LLM Development & Optimization: Work with data scientists and ML engineers to develop, fine-tune, and optimize LLMs for life sciences applications.
  • Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms or on-premise infrastructure while ensuring data security and regulatory compliance.
  • MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments.
  • Compliance & Governance: Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles.
  • Performance Optimization: Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance.
  • Stakeholder Collaboration: Foster collaboration with cross-functional teams to align GenAI initiatives with enterprise and industry-specific requirements.
  • Research & Innovation: Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation.
Required Skills & Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field.
  • Experience: 10+ years of experience in Big Data, AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences.
  • Technical Expertise: Strong proficiency in Generative AI, LLMs, multimodal AI, and deep learning for pharma applications.
  • Hands-on Experience: With AI/ML frameworks, data engineering, ETL pipelines, big data technologies, cloud AI services, and MLOps & DevOps.
  • Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma.
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases.
  • Communication & Leadership: Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders.
Desirable Requirements:
  • Experience: In GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence.
  • Knowledge: Of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences.
  • Certifications: From AWS, Google, or Microsoft.
  • Understanding: Of biomedical ontologies, semantic AI models, and federated learning.

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