Vice President of Technology - AI

VP of Technology – Consumer Products & Retail Location: Remote (USA)

Employment type: Full time - Expert level (Hands-On, Consultative)

Salary $210K-$270K base range, 33% bonus

About The Role Globant is seeking a dynamic, hands-on AI Architect to join our growing team. 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.

Key Responsibilities

• Solution Architecture:

• 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.

• Hands-On Implementation:

• Lead by example in coding, prototyping, and deploying AI models and pipelines.

• Oversee data engineering, model training, evaluation, and integration with enterprise systems.

• Consultative Engagement:

• 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.

• Project Estimation & Planning:

• Scope and estimate AI projects, including resource planning, timeline, and cost.

• Develop delivery plans and manage execution to ensure on-time, on-budget results.

• Delivery Leadership:

• Oversee end-to-end delivery of AI projects, ensuring quality, performance, and client satisfaction.

• Mentor and guide cross-functional teams (data scientists, engineers, analysts).

• Continuous Learning:

• 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.

Ideal Candidate Profile

• 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; Spanish or Portuguese a plus.

Core Competencies

• 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.

Benefits: Benefits for this position will likely include the following 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

Accommodations If you require an accommodation, please contact the recruiting team

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