Jobs at Orion Innovation

Lead the design and development of advanced Generative AI solutions, managing a team while implementing AI technologies to enhance business outcomes and user experiences.

Lead design, development, and deployment of Generative AI solutions using Azure OpenAI, Semantic Kernel, and langchain. Build CI/CD pipelines, ensure observability and system reliability, implement AI governance, collaborate with stakeholders, and apply Agile practices to deliver scalable AI applications.

Design, develop, and deploy generative AI solutions using LangChain, RAG, and prompt engineering. Build and integrate FastAPI-based REST APIs, deploy on Azure and AWS Bedrock, manage models and workflows with Git and Docker, and follow Agile practices.

Design, develop, and maintain scalable full‑stack applications using .NET, React/Angular/Blazor. Integrate generative AI/NLP solutions (Azure OpenAI, AWS Bedrock, Semantic Kernel, LangChain) with APIs, CI/CD, Docker, and cloud deployment. Ensure code quality, security, and collaborate across teams to deploy production AI solutions.

Design and implement enterprise-grade Generative AI and LLM architectures, lead Azure OpenAI and AWS Bedrock integrations, ensure API-based system integration and application security, drive AI/ML DevOps, support RFPs, and mentor teams in prompt engineering.

Design and optimize scalable data platforms using Microsoft Fabric and Databricks; create data pipelines and models for enterprise analytics while collaborating with data science teams.

Lead digital transformation initiatives by defining and prioritizing product backlogs, facilitating workshops, gathering requirements, driving change management, conducting market research, and collaborating with Agile teams to deliver product goals and stakeholder updates.

Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks, and Snowflake. Define architecture standards, guide technical decisions, and implement solutions for data governance, security, and analytics.

The Senior Data Architect leads pre-sales engagements, designs end-to-end cloud and data architectures, and partners with clients on technological transformations while ensuring scalability, security, and alignment with business goals.

Design and build end-to-end Generative AI features: implement Python-based LLM backends and orchestrations, integrate LLM APIs, create React frontends to surface AI outputs, and own prompt design, embedding pipelines, and deployment workflows.

The Azure Cloud Application Architect designs and implements cloud-native solutions on Azure, providing technical leadership and mentoring. Responsibilities include establishing governance, cost optimization, security best practices, and engaging in pre-sales and post-sales activities while collaborating with various teams.

No specific responsibilities or technical requirements are listed. The posting contains a company overview, equal opportunity statement, and candidate privacy policy but does not detail Integration Engineer duties.