Forward Deployed Engineer- AI

Rhino Federated Computing • Boston, MA

9d • Onsite

About The Position

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring - all in a secure, privacy preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines. Rhino is trusted by >60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies - and is leveraging this foundation for financial services, ecommerce, and beyond.
The company is headquartered in Boston, with an R&D center in Tel Aviv.
About the Role
Key Responsibilities
Manage a portfolio of customer delivery projects by collaborating with a joint team of our clients and Rhino Product, Engineering, and Sales.
Design and implement custom production grade federated AI pipelines, code training and inference workflows, and utilize AIOps tools, and model performance optimization.
Guide customers through production level federated AI engineering decisions and provide coding and configuration support- such as hyper parameter settings, evaluation, experiment management, privacy testing, and AIOps while ensuring scalability, reliability, and security.
Onboard and educate users and equip the users with training and tutorials and demonstrate deep technical understanding of the product.
Provide project management support to help users achieve successful Rhino FCP implementations. Deliver communications such as executive-level updates and detailed iteration plans. Track metrics and weekly status reports to demonstrate progress and value.
Debug technical issues with users and implement effective support process improvements.
Advise the Product organization on features that would help advance use of the platform understanding the use cases required of customers.

Requirements

• Established track record working with production level or productized AI applications, Deep Learning frameworks, and tools, AI/MLOps, Cloud Computing, and GPU accelerated solutions in cloud computing/NVIDIA cloud and edge environments.
• Production level Hands-on experience with design, development, fine tuning, and serving of imaging or language models or structured data AI models.
• Effective with Generative AI ecosystem of tools such as Llama, GPT, Gemini, LangChain, Agentic Frameworks, and so on.
• Proficient in Python Programming, REST APIs, Databases, and cluster management tools, including Docker Containers and Kubernetes.
• 4+ years of AI experience.
• Take full ownership of problems from start to finish, driving success for both the team and our customers.
• Operate with high energy and adaptability, seamlessly switching contexts and managing multiple initiatives with broad accountability. Prioritize effectively and thrive in ambiguous environments.

Nice To Haves

• Healthcare, Biopharma, Financial Services, Public Sector industry experience.
• Experience with sales and customer facing roles such as solutions engineer, sales engineer, solutions architect, and professional services engineer.
• Project Management mindset and experience - delivery excellence, stakeholder engagement, and impact measurement.
• Degree in a quantitative field, with computer science or engineering or biomedical informatics/bioinformatics preferred.

Responsibilities

• Manage a portfolio of customer delivery projects by collaborating with a joint team of our clients and Rhino Product, Engineering, and Sales.
• Design and implement custom production grade federated AI pipelines, code training and inference workflows, and utilize AIOps tools, and model performance optimization.
• Guide customers through production level federated AI engineering decisions and provide coding and configuration support- such as hyper parameter settings, evaluation, experiment management, privacy testing, and AIOps while ensuring scalability, reliability, and security.
• Onboard and educate users and equip the users with training and tutorials and demonstrate deep technical understanding of the product.
• Provide project management support to help users achieve successful Rhino FCP implementations. Deliver communications such as executive-level updates and detailed iteration plans. Track metrics and weekly status reports to demonstrate progress and value.
• Debug technical issues with users and implement effective support process improvements.
• Advise the Product organization on features that would help advance use of the platform understanding the use cases required of customers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees