Ето JD:
What we do:
We are at the stage of integrating a complex NLP technology to revolutionize how our corporation is
operating with its internal knowledge & documents (from all teams – starting from the chemistry, going to
the validation and compliance teams).

Job Description:
We seek an experienced Senior NLP Engineer / Large Language Model Architect to monitor and to
supervise the integration of a very complex third party NLP solutions in our corporation.
This role requires a deep understanding of NLP principles, practical experience in deploying large-scale
models, and a problem-solving mindset geared towards delivering high-quality, efficient solutions.
Key Responsibilities:
 Become familiar with all the in-corporation requirements that led to the decision for integration
such a platform, so that you are able to effectively intersect the needs to the possible 3 rd party
products
 Collaborate with internal teams and stakeholders to understand project needs, providing expert
guidance and NLP architectural advice.
 Collect and compare assessment of functionality and capability and IT system and integration
aspects
 Determine use cases for proof of value against every company goal defined in the initial
requirements
 Evaluate available options among the preliminary chosen and follow enterprise guidelines in order
choose the proper solution that will cover the needs
 Oversee and control/monitor the process of integrating the NLP/ML solution – being responsible
that it will meet the specific project requirements, ensuring high quality and efficiency.
 Collaborate with SMEs, data scientists and vendors, being the bridge between the business and the
external technical team
 Drive the adoption of best practices in integrating the solution across the various corporation
department that are planned to use it
Required Skills and Experience:
 Advanced degree in Computer Science or Artificial Intelligence.

 Extensive experience in NLP, with a strong portfolio of projects integrating large language models.
 Strong coding skills in relevant programming languages (e.g., Python) and familiarity with NLP
libraries and frameworks (you’ll need all of them to be able to evaluate the external teams work
more effectively)
 3+ years’ experience in an AI/NLP leading role (you should be able to prove that during the
interview)
 Demonstrated ability to work effectively in a fast-paced, dynamic environment, managing multiple
projects simultaneously.
 Excellent problem-solving skills, with a keen eye for detail and a commitment to high-quality
outcomes.
 Strong communication and collaboration skills, with the ability to convey complex technical
concepts to non-technical stakeholders.
Desirable Attributes:
 Experience in the pharmaceutical or research sectors, with an understanding of SOPs and
compliance requirements.
 A pragmatic approach to project management, avoiding "magical" solutions and focusing on
tangible results.
 The flexibility to adapt to changing project needs and the ability to guide teams through technical
challenges.
 A team player attitude, with experience working in or leading multidisciplinary teams.
Application Process:
 Interested candidates are invited to submit a detailed resume/CV, along with a cover letter
outlining your specific experience in NLP and large language model development, and how you
can contribute to our team's success.
IMPORTANT: Please include examples of past projects and their impact on the organization's goals.

About the project & the Team:

The Intelligent Document Processing (IDP) Initiative is a strategic project aimed at defining, assessing,
and establishing a robust document processing solution from the ground up. Currently, there is no existing

system in place, and the project will involve a comprehensive evaluation of vendor solutions to select the
most technically and functionally suitable platform.
The key responsibilities of this initiative include:
 Solution Definition: Identifying business and technical requirements by working closely with
Subject Matter Experts (SMEs) and stakeholders.
 Vendor Evaluation: Conducting an in-depth analysis of vendor proposals, focusing on key factors
such as technology stack, scalability, compliance, security, and integration capabilities.
 Technical & Functional Assessment: Defining system functionalities in parallel with SMEs to
ensure alignment with business needs and regulatory requirements.
 Comprehensive Selection Process: Evaluating vendors holistically, considering cost,
implementation feasibility, long-term support, and future scalability.
 End-to-End Implementation Strategy: Ensuring that the selected solution effectively addresses
all business requirements and integrates seamlessly within the enterprise IT landscape.
The System Architect for this project will play a crucial role in designing the technical framework,
setting evaluation criteria, and guiding the selection of the optimal IDP solution that meets the
organization’s operational and compliance needs.