Lead Software Engineer - AI

Visa•Highlands Ranch, CO

2h•Hybrid

About The Position

As a GenAI & Agentic AI Expert, you will play a pivotal role in conceptualizing, building, and optimizing AI-driven systems that demonstrate autonomy, creativity, and adaptability. You will work closely with cross-functional teams to translate business opportunities into intelligent, scalable solutions. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa will accept applications for this role until at least September 8, 2025.

Requirements

10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.
Bachelor’s/master's in computer science, Artificial Intelligence, Machine Learning, or a related field.
3 years of hands-on experience in developing and deploying Generative AI models (such as GPT, Llama, Stable Diffusion, etc.).
Demonstrated experience in designing or using Agentic AI systems (e.g., autonomous agents, tool-using LLMs, multi-agent environments).
Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers).
Strong understanding of prompt engineering, fine-tuning, RLHF, and agent orchestration frameworks.
Excellent problem-solving skills, and a passion for exploring new AI paradigms.

Nice To Haves

Experience with cloud platforms (AWS, GCP, Azure) and deploying AI models at scale.
Exposure to knowledge graphs, reasoning systems, or symbolic AI.
Contributions to open-source GenAI/Agentic AI projects.
Experience in payment industry is a plus

Responsibilities

Design, build, and deploy Generative AI and Agentic AI models and applications.
Lead the development and integration of autonomous agent architectures using LLMs and other relevant technologies.
Collaborate with product, engineering, and research teams to identify and implement AI-driven features and workflows.
Stay updated on the latest advancements in GenAI (e.g., LLMs, diffusion models) and Agentic AI (e.g., multi-agent systems, tool-using agents).
Mentor and guide junior team members in best practices for AI development.
Ensure ethical and responsible AI development and deployment.
Develop prototypes and proof-of-concepts to showcase AI capabilities for internal and external stakeholders.
Contribute to the creation of technical documentation, research papers, and presentations.