Senior Enterprise Generative AI Engineer

Job Description

Visterra is seeking a talented and visionary Enterprise GenAI Engineer to lead our organization’s GenAI initiatives for productivity and business use cases. In this role, you will play a crucial role in identifying, developing, deploying, and managing enterprise Generative AI/LLM solutions in the form of custom assistants, chatbots and copilots to address business needs. You will develop applications by tailoring use of LLM capabilities through prompt engineering, RAG (retrieval augmented generation) and other AI/ML/NLP techniques.

This role involves collaborating with team members, including from research (biomedical), legal, clinical, HR, and finance departments, to create scalable, efficient, and accessible AI/LLM applications. This role involves leveraging cloud-based AI resources that support LLM-based application development, such as Azure AI studio, AWS Sagemaker, OpenAI and Google Vertex AI. This role involves leading and pioneering new capabilities of LLMs to advance core workstreams involving data analysis, content generation, summarization and problem solving. Your work will directly contribute to making GenAI application development more intuitive and accessible to several teams.

Responsibilities

• Design, develop, and deploy private end-to-end AI chatbots and solutions leveraging GenAI / LLM models and RAG pipelines through cloud AI environments, such as Microsoft Azure AI (Copilot) Studio, OpenAI GPT, AWS SageMaker and other platforms.
• Work closely with senior director of enterprise systems and employees to identify and define business use cases for tailored Gen AI / Copilot solutions, involving RAG, prompt engineering and document/content specification. Architect, implement and support innovative solutions to meet the business need objectives.
• Ensure the performance, quality, and responsiveness of applications (chatbots/copilots).
• Establish design principles, architecture standards and best practices in alignment with IT strategy. Uphold high standards for cloud security and data privacy.
• Collaborate with cross-functional teams to identify opportunities for LLMs to enhance productivity and effectiveness to solve business needs. Propose and implement end-to-end solutions.
• Implement feedback mechanisms to address architectural challenges and enhance utility of custom application builds.
• Stay abreast of emerging trends and advancements in GenAI technologies and support solutions for enterprise to improve offerings and tailored solutions for business needs.
  
  

Qualifications

• Bachelor’s or master’s degree in computer science, machine learning, data science, software engineering, or a related field.
• 5+ years experience in data science, AI/machine learning, enterprise software development, or related roles to create, implement and support advanced data science (AI/ML) and IT solutions for enterprise needs.
  
  

Company

Visterra is a clinical stage biotechnology company committed to developing innovative antibody-based therapies for the treatment of patients with kidney diseases and other hard-to-treat diseases. Our proprietary technology platform enables the design and engineering of precision antibody-based product candidates that specifically bind to, and modulate, key disease targets. Applying this technology to disease targets that are not adequately addressed by traditional therapeutic approaches, we are developing a robust pipeline of novel therapies for patients with unmet needs.

Visterra is a wholly-owned subsidiary of Otsuka America, Inc., which is a U.S. holding company and a wholly owned subsidiary of Otsuka Pharmaceutical Co., Ltd. of Japan. Visterra has approximately 115 employees and is in Waltham, Massachusetts.

Visterra provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.