52 Leadership Management Jobs

Role & responsibilities

This role requires a blend of strategic vision, deep technical expertise, and leadership to architect and deploy cutting-edge AI/ML solutions that seamlessly integrate into enterprise systems. You will lead complex R&D efforts, ensure alignment with business objectives, and foster a culture of continuous innovation while upholding ethical AI principles and compliance standards.

Key Responsibilities

• Strategic AI Leadership & Innovation
• Define and execute the AI/ML strategy, aligning with organizational goals and business needs.
• Drive research and development in NLP, deep learning, reinforcement learning, generative AI, and multimodal AI applications.
• Stay at the forefront of AI advancements, evaluating emerging technologies and methodologies to enhance capabilities.
• Technical Architecture & AI Model Development
• Architect and deploy scalable AI/ML models, including large language models (LLMs) and transformer-based architectures.
• Implement MLOps best practices for CI/CD, automated model retraining, and lifecycle management.
• Develop advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT).
• Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs).
• Cross-Functional Collaboration & Integration
• Work closely with data engineers, software developers, and product managers to integrate AI into production systems.
• Translate complex AI concepts into actionable insights for business stakeholders.
• Establish governance frameworks for ethical AI, ensuring compliance with industry standards.
• Team Development & Technical Mentorship
• Guide and mentor AI engineers, fostering a high-performing and collaborative environment.
• Lead AI-driven innovation within the organization, driving technical excellence and best practices.

Required Qualifications

- Bachelor's, masters in computer science, AI, ML, data science, or related fields.

- 9+ years of AI/ML experience, including 3+ years in a leadership or senior technical role.

- Expertise in Python (NumPy, Pandas, scikit-learn) and proficiency in Java, Scala, or similar languages.

- Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers).

- Hands-on experience with MLOps, including containerization (Docker, Kubernetes), CI/CD, and model monitoring.

- Well versed with Agentic AI.

- Deep understanding on Langchain ecosystem.

- Experience with distributed computing (Apache Spark, Ray) and large-scale dataset processing.

- Proficiency in vector databases (FAISS, ChromaDB, Pinecone) for efficient similarity search.

- Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning.

- Experience deploying AI solutions on AWS and Azure with hardware optimization for GPUs and TPUs.

- Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives.

Preferred Qualifications

- Experience in regulated industries such as healthcare and biopharma.

- Contributions to AI research, open-source projects, or top-tier AI conferences.

- Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks.

- Proven ability to scale AI teams and lead complex AI projects in high-growth environments.

Kindly enroll the profile using this URL link: https://careers.lilly.com/us/en/job/R-80941/AI-Lead