NLP LLM Operations Architect & AWS Engineer

NLP LLM Operations Architect & AWS Engineer

Company : Norstella

Location : Remote, United States

Date Posted : Aug 6, 2025

Employment Type : Full Time

Job ID : R-874

Description

About Norstella

At Norstella, our mission is simple : to help our clients bring life-saving therapies to market quicker—and help patients in need.

Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle —and get the right treatments to the right patients at the right time.

Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients :

Citeline – accelerate the drug development cycle

Evaluate – bring the right drugs to market

MMIT – identify barrier to patient access

Panalgo – turn data into insight faster

The Dedham Group – think strategically for specialty therapeutics

By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics.

As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.

Job Description :

We are actively seeking a specialized NLP LLM Operations Architect & AWS Engineer well-versed in AWS and experienced with cutting-edge open-source Large Language Models (LLMs) like Llama and Qwen, and familiar with using frameworks like Hugging Face for model implementation. In this crucial role at Norstella you will be responsible for deploying scalable and efficient NLP technologies, ensuring high-performance integration and management of LLMs on cloud infrastructures. Your role will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma and accelerate treatment access to patients with unmet need.

Responsibilities :

Design and oversee AWS cloud architectures optimized for advanced LLM usage, ensuring scalability and robustness of NLP applications.

Implement and maintain LLM-focused NLP projects from ideation through production deployment, emphasizing innovation in LLM capabilities like Llama3 and Qwen, and leveraging frameworks like Hugging Face.

Collaborate with data scientists, NLP engineers, cloud specialists, and software developers, ensuring effective implementation and integration of LLMs and Hugging Face tools.

Develop strategies for cloud-based NLP solutions that ensure cost-efficiency, security, and compliance while supporting rapid model experimentation and deployment using AWS and Hugging Face.

Maintain rigorous performance standards for LLM-based models, constantly seeking enhancements in model accuracy and operational efficiency.

Work closely with IT security to ensure stringent data protection standards are met in the deployment and operation of LLMs and related software on AWS.

Analyze computational resource utilization on AWS, optimizing for cost and performance throughout the lifecycle of LLM development and application.

Stay updated on the forefront of LLM technologies and tools like Hugging Face, alongside AWS advancements, bringing in industry-leading practices to maintain a competitive edge.

Regularly deliver impactful insights and updates to the relevant stakeholders, highlighting the strategic value and progress of NLP initiatives.

Explore emerging trends in NLP and LLM advancements, aiming to leverage new potential applications and improve existing systems.

Qualifications :

Bachelor’s or master’s in computer science, Data Science, or related fields, with a strong focus on NLP and cloud solutions.

Minimum of 2 years in NLP systems development and operations, including extensive experience with AWS and expert knowledge of LLMs such as Llama3 and Qwen and familiarity with implementation frameworks like Hugging Face.

Relevant AWS Certifications (e.g., Solutions Architect, Machine Learning Specialty, DevOps Engineer).

Expert proficiency in Python and familiar with advanced NLP frameworks and libraries.

Proven track record in the successful deployment of large-scale NLP solutions, particularly those involving advanced LLM technologies.

Experience working in the healthcare or life sciences industry is required.

Strong analytical and communication skills, adept at working on multiple projects in a dynamic environment.

Benefits :

Medical and prescription drug benefits

Health savings accounts or flexible spending accounts

Dental plans and vision benefits

Basic life and AD&D Benefits

401k retirement plan

Short- and Long-Term Disability

Paid parental leave

Paid time off

principles for success at Norstella

01 : Bold, Passionate, Mission-First

We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.

02 : Integrity, Truth, Reality

We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.

03 : Kindness, Empathy, Grace

We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.

04 : Resilience, Mettle, Perseverance

We will persevere – even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.

05 : Humility, Gratitude, Learning

We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.

The expected base salary for this position ranges from $140,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment.

Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you.

Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.