Forward Deployed Engineer

Qualifications

• 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

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
• Prioritize effectively and thrive in ambiguous environments

Full Description

Title: Forward Deployed Engineer About Rhino Federated Computing

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.

Required Skills

• 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.

Preferred Skills

• 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.

• Location: Boston.