Jobs at Orion Innovation

Implement and maintain ServiceNow Field Service Management: configure workflows for work orders and tasks, optimize scheduling and resources, build mobile solutions, integrate FSM with other systems, manage data, and provide ongoing support and enhancements.

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.

Migrate legacy data warehouse implementations to Databricks by interpreting T-SQL logic, converting transformations into optimized PySpark/Databricks pipelines, designing ETL/ELT jobs, performing data validation and testing, optimizing performance, documenting migration logic, and collaborating with architects and business teams.

Lead observability strategy and architecture using Dynatrace; define SLIs/SLOs, tagging, telemetry, and governance; integrate observability with CI/CD and ITSM; implement AIOps, automation, dashboards, alert tuning, and onboarding; drive SRE/DevOps alignment and stakeholder engagement.

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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.

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

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.

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.

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.

Lead design and delivery of Generative AI solutions using Amazon Bedrock and orchestration frameworks. Build CI/CD pipelines, manage full-stack AWS infrastructure, ensure observability and AI governance, collaborate with stakeholders, apply Agile practices, mentor engineers, and integrate new AI innovations into production systems.

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.