VP Technology (Life Sciences Sector)

VP of Technology - Healthcare & Life Sciences
Location: Remote (USA)
Employment type: Full time - Expert level (Hands-On, Consultative)
Salary : Base range $ 210-270K, 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:
o Design robust,scalable AI/ML architectures tailored to client
requirements, leveraging the latest in LLMs, generative AI, computer
vision, NLP, and MLOps best practices.
o Select appropriate models, frameworks, and cloud platforms (AWS,
Azure, GCP) for each use case.
Hands-On Implementation:
o Lead by example in coding, prototyping, and deploying AI models
and pipelines.
o Oversee data engineering, model training, evaluation, and
integration with enterprise systems.
Consultative Engagement:
o Work closely with clients to understand business challenges, conduct
workshops, and translate needs into technical solutions.
o Advise clients on AI strategy, roadmap, and best practices for
adoption and scaling.
Project Estimation & Planning:
o Scope and estimate AI projects, including resource planning,
timeline, and cost.
o Develop delivery plans and manage execution to ensure on-time, on-
budget results.
Delivery Leadership:
o Oversee end-to-end delivery of AI projects, ensuring quality,
performance, and client satisfaction.
o Mentor and guide cross-functional teams (data scientists, engineers,
analysts).
Continuous Learning:
o Stay up to date with the latest AI research, models (e.g., GPT-4,
Gemini, open-source LLMs), and industry trends.
o 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

Applicant Privacy
Globant will collect and process your information as part of this application. For
more information, review Globant’s Privacy Policy.

Equal Employment Opportunity
Globant is an equal opportunity and affirmative action employer. We are
committed to building a workforce representative of the users we serve, fostering
a culture of belonging, and providing equal employment opportunity regardless
of any basis protected by law.

Use of AI in Recruitment
Globant may use AI and machine‑learning technologies in the recruitment process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic. Globant is committed to providing reasonable accommodations for qualified individuals with disabilities.

Remote Work

Remote work permissibility may change based on business needs. For questions regarding work locations, speak directly with your hiring partner.

Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .

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