[Hiring] Agentic Technical Product Delivery Manager @PepsiCo

Role Description

The Agentic GenAI Technical Product Delivery Manager will focus on the technical development, deployment, and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements.

• Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings.
• Balance build versus buy decisions, ensuring alignment with SaaS models and decision trees, particularly for the PepGenX platform.
• Emphasize low coupling and cohesive model development.
• Engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation.
• Fine-tune pre-trained language models, optimize performance, and reduce latency while maintaining high-quality output.
• Benchmark model performance and iterate based on findings, ensuring models meet accuracy and efficiency standards.
• Lead working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and component reuse strategy.
• Define AI architecture and select suitable technologies, develop code, LLM custom models, and agentic development.
• Lead the implementation of LLM operations, focusing on optimizing model performance, scalability, and efficiency.
• Design and implement LLM agentic processes to create autonomous AI systems capable of complex decision-making and task execution.
• Work closely with data scientists and AI professionals to identify and pilot innovative use cases that drive digital transformation.
• Gather inputs from various stakeholders to align technical implementations with current and future requirements.
• Audit AI tools and practices, focusing on continuous improvement of LLM ops and agentic processes.
• Collaborate with security and risk leaders to mitigate risks such as data poisoning and model theft.
• Stay updated on AI regulations and map them to best practices in AI architecture and pipeline planning.
• Apply advanced software engineering and DevOps principles, utilizing tools like Git, Kubernetes, and CI/CD for efficient LLM ops.
• Spearhead the exploration and application of cutting-edge Large Language Models (LLMs) and Generative AI.
• Oversee MLOps, automating ML pipelines from training to deployment with a focus on RAG and embedding optimization.
• Engage in sophisticated model development from ideation to deployment, leveraging advanced chunking and RAG techniques.
• Proactively reduce biases in model predictions, focusing on fair and inclusive AI systems through advanced debiasing techniques.
• Design efficient data pipelines to support large language model training and inference.

Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, or a related technical field.
• Demonstrated ability to translate complex technical concepts into actionable business strategies.
• Experience in data-driven decision-making processes.
• Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Proven track record in managing and delivering AI/ML projects, with a focus on GenAI solutions, in large-scale enterprise environments.