Key skills
AI deploymentCloud platformsContainerization technologiesPythonJavaScriptHealthcare experienceCustomer-facing roleSDLC principlesTechnical expertiseDocumentation skillsTypeScriptAINLPLangChainReactAWSAzureGoogle CloudServerlessSDLC
About this role
Optura.AI is healthcare’s AI orchestration platform, aiming to transform disconnected AI pilots into a unified program. The Forward Deployed Engineer will work directly with healthcare organizations to deploy and operationalize Optura’s AI solutions, ensuring customer needs are met and informing product improvements.
Responsibilities:
- Partner with healthcare customers to understand their needs, gather technical and business requirements, and translate them into effective solutions using Optura’s AI platform
- Lead deployment, integration, and configuration of the Optura Platform within customer environments to ensure optimal performance
- Configure serverless and container architectures and leverage any and all cloud platforms to deploy our industry-leading platform
- Design and build customized AI use cases addressing customer pain points, applying full SDLC principles for AI components
- Develop detailed documentation for system functionality and integrate AI solutions using Python and JavaScript
- Implement and optimize agentic systems and retrieval-augmented generation (RAG) techniques
- Capture, monitor, and analyze KPIs and metrics to drive system and performance improvements
- Provide technical expertise, training, and guidance to help customers fully leverage the platform
- Collect, document, and communicate customer requirements and feedback, working closely with the product team to influence platform enhancements
Requirements:
- Bachelor's degree in Computer Science or a related field, or equivalent professional experience
- 3+ years of software engineering or software development experience
- Experience in a customer-facing technical role such as forward deployed engineer, implementation engineer, or consulting
- Hands-on experience deploying enterprise software solutions in AI, data, or integration environments
- Experience working with healthcare payers, PBMs, or other regulated industries
- Expertise with containerization and orchestration technologies, enterprise python, typescript, react or ai frameworks such as langchain, crew.ai
- Familiarity with cloud environments (AWS, Azure, Google Cloud), serverless architectures, and DevOps pipelines
- Experience integrating AI models—such as foundation models or NLP systems—into enterprise software
- Understanding of compliance frameworks such as HIPAA, HITRUST, or SOC2