VP Technology

Globant•Miami, FL

2d•Hybrid

About The Position

Globant is seeking a dynamic, hands-on AI Architect to join our growing team in Miami. This role is ideal for a technical leader who is passionate about designing and delivering cutting-edge AI solutions, while also engaging directly with clients to understand their business needs and translate them into actionable, scalable architectures. You will be responsible for end-to-end project delivery, from discovery and estimation to implementation and deployment, leveraging the latest advancements in AI/ML models and platforms.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
7+ years of experience in software engineering, with at least 3 years in AI/ML solution architecture.
Proven hands-on experience with modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
Deep knowledge of LLMs, generative AI, NLP, computer vision, and MLOps.
Strong programming skills in Python (and optionally Java, Scala, or R).
Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
Demonstrated ability to scope, estimate, and deliver complex AI projects.
Excellent consultative and communication skills; able to engage with both technical and business stakeholders.
Experience leading and mentoring technical teams.
Strong problem-solving skills and a passion for innovation.
Fluent in English

Nice To Haves

Spanish or Portuguese a plus.
Experience in regulated industries (healthcare, finance, pharma, etc.).
Experience with AI governance, ethics, and responsible AI practices.
Experience with data privacy and security in AI solutions.

Responsibilities

Design robust, scalable AI/ML architectures tailored to client requirements, leveraging the latest in LLMs, generative AI, computer vision, NLP, and MLOps best practices.
Select appropriate models, frameworks, and cloud platforms (AWS, Azure, GCP) for each use case.
Lead by example in coding, prototyping, and deploying AI models and pipelines.
Oversee data engineering, model training, evaluation, and integration with enterprise systems.
Work closely with clients to understand business challenges, conduct workshops, and translate needs into technical solutions.
Advise clients on AI strategy, roadmap, and best practices for adoption and scaling.
Scope and estimate AI projects, including resource planning, timeline, and cost.
Develop delivery plans and manage execution to ensure on-time, on-budget results.
Oversee end-to-end delivery of AI projects, ensuring quality, performance, and client satisfaction.
Mentor and guide cross-functional teams (data scientists, engineers, analysts).
Stay up to date with the latest AI research, models (e.g., GPT-4, Gemini, open-source LLMs), and industry trends.
Evaluate and pilot new tools, libraries, and platforms for potential adoption.

Benefits

Unlimited paid time off
Healthcare benefits
Dental benefits
Vision benefits
Disability insurance
Life insurance benefits
Retirement benefits, including 401(k) and a potential company match.
Parental leave for both birthing (up to 14 weeks of paid leave) and non-birthing parents (up to 4 weeks paid leave), as well as adoption leave (up to 8 weeks of paid leave), subject to qualifications
Child hospitalization leave (up to 15 paid calendar days per year), subject to qualifications
“Be kind to yourself day” on your anniversary (subject to terms and conditions)
Graduation and birthing gifts, subject to eligibility
Paid Jury duty (up to 4 weeks a year), subject to eligibility
Paid moving days (up to 2 days a year), subject to eligibility
Approximately 12 paid company holidays a year