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Dir. DDIT Dev. Data, Analyt, DS&AI (AI Architect)

Dir. DDIT Dev. Data, Analyt, DS&AI (AI Architect)

ConfidentialHyderabad / Secunderabad, Telangana
30+ days ago
Job description

Key Responsibilities

  • GenAI Strategy Roadmap :   Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences.
  • Solution Design :   Architect 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 large language models (LLMs) for life sciences applications, such as scientific literature analysis, regulatory intelligence, and patient engagement.
  • Cloud On-Prem AI Infrastructure :   Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) 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, including bias mitigation and explainability.
  • Performance Optimization :   Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance.
  • Stakeholder Collaboration :   Work with cross-functional teams, including platform teams, and Drug Development 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  to incorporate emerging technologies into the company s AI strategy.

Required Qualifications

  • Bachelors or Masters degree in Computer Science, AI, Data Science, Bioinformatics, or a related field.
  • Experience :   8+ years in 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, large language models (LLMs), multimodal AI, and deep learning  for pharma applications.
  • Hands-on experience with AI / ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.).
  • Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.).
  • Proficiency in programming languages such as Python, R, or Java.
  • Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI).
  • Deploy a Lightweight LLM in a Pharma SaaS Platform
  • MLOps DevOps :   Familiarity with CI / CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring.
  • 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.

    • Preferred Qualifications

  • 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.
  • AI / ML certifications from AWS, Google, or Microsoft.
  • Understanding of  biomedical ontologies, semantic AI models, and federated learning  .
  • Exposure to fine-tuning the LLM models will be a big plus
  • Exposure to SLM or domain LLM model will be a big plus
  • BioGPT PubMedBERT :   NLP for biomedical literature and clinical trial analysis
  • Custom SLMs :   Fine-tune  Mistral 7B, Phi-2, or Gemma  on pharma datasets

    • Skills Required

    Python, Saas, Ai

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