Build the Future of Enterprise AI.

A World-Changing Company

PRR Group builds the cloud-agnostic foundation for enterprise SaaS and autonomous AI agents. We deliver protocol-native infrastructure that empowers both Commercial and Federal partners to deploy secure, scalable, multi-tenant solutions anywhere—cloud, hybrid, or on-prem. As a proud Microsoft partner, we combine deep domain expertise with an unwavering commitment to governance (including SOC 2, HIPAA, and FedRAMP standards). We allow the world's most critical institutions to orchestrate AI agents that act on enterprise data securely and autonomously.

The Role

We have an explosive pipeline of Azure AI engagements, and we need an Enterprise Azure AI Architect who can kill it in the field. You won't just be drawing diagrams; you will own the Gen AI strategy and implementation for high-stakes customers.

You will leverage Azure AI Foundry, Microsoft Copilot Studio, and Power Automate to build agentic frameworks that connect deeply into legacy enterprise systems (like SAP) without compromising security. You will lead technical discovery, architect the solutions, and work with our forward-deployed teams to take concepts from proof-of-concept to enterprise-wide production rollout.

Core Responsibilities

• Architecting and deploying autonomous AI agents and conversational interfaces using Azure AI Foundry and Microsoft Copilot Studio.
• Building complex, event-driven middleware and orchestrations using Power Automate, Logic Apps, and Azure Relay to bridge cloud AI with on-premise data.
• Leading technical discovery and defining the architecture for both Commercial and Federal clients, ensuring stringent FedRAMP and SOC 2 compliance.
• Designing proactive alerting and anomaly detection systems that push intelligence to users natively within Microsoft Teams.
• Navigating complex enterprise environments to securely integrate cloud-native AI with legacy on-premise ERPs (e.g., SAP) using On-Premises Data Gateways and custom connectors.
• Engaging directly with customer stakeholders, from technical engineering teams to C-suite executives, to drive strategy and adoption.

What We Value

• Engineering mindset focused on delivering production-ready Azure solutions, not just academic AI benchmarks.
• Deep understanding of the Microsoft ecosystem and how to creatively and securely bypass enterprise roadblocks.
• Ability to collaborate efficiently in teams of technical and non-technical individuals, operating with the autonomy of a startup founder.
• A relentless focus on security, tenant isolation, and auditability. You understand that in the enterprise space, AI is only as useful as its compliance trail.

What We Require

• Proven experience designing and deploying solutions using Azure AI Foundry, Azure OpenAI, and Copilot Studio.
• Deep expertise in the Power Platform (Power Automate) and Azure integration services (Logic Apps, API Management, Azure Relay).
• Experience connecting cloud environments to complex on-premise systems using On-Premises Data Gateways and secure networking protocols (VNet Peering, ExpressRoute).
• Strong coding proficiency in relevant languages (C#, Python, or TypeScript/JavaScript).
• Familiarity with federal and enterprise compliance frameworks (FedRAMP, SOC 2, HIPAA) and how to architect systems that meet these stringent requirements.
• Ability and interest in traveling up to 25%, as needed to client sites, but flexible based on personal preferences.
• Nice to Have: Relevant Microsoft Azure Certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).

A World-Changing Company

PRR Group builds the cloud-agnostic foundation for enterprise SaaS and autonomous AI agents. We deliver protocol-native infrastructure that empowers both Commercial and Federal partners to deploy secure, scalable, multi-tenant solutions anywhere—cloud, hybrid, or on-prem. By combining deep domain expertise with an unwavering commitment to governance (including SOC 2, HIPAA, and FedRAMP standards), we allow the world's most critical institutions to orchestrate AI agents that act on enterprise data securely and autonomously. We are a proud Microsoft partner, building the infrastructure that outpaces commodity software.

The Role

At PRR Group, the Forward Deployed Engineer isn't just a job title: it's the blueprint. Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale.

You will not be building generic chatbots. You will be architecting purpose-built, industry-specific verticals (Healthcare, Legal, FinOps) on top of our proprietary, multi-tenant event-driven platform. You will have ample opportunity to contribute learnings from the field back to the PRR Group product suite. By bringing the right data to the people who need it, our platforms empower our partners to make smarter, faster decisions across disconnected systems.

Core Responsibilities

Forward Deployed AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small agile teams and own the end-to-end execution and implementation of high-stakes projects, including:

• Wrangling massive-scale data and using AI to accelerate and enhance critical operations.
• Architecting solutions using our core stack: Kubernetes (k3d/Istio), Go, PostgreSQL, NATS JetStream, and Temporal.
• Interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.
• Deploying and integrating Bring Your Own Agent (BYOA) infrastructure utilizing Model Context Protocol (MCP), A2A, and AG-UI standards.
• Enforcing strict tenant isolation and identity brokering using Keycloak (OIDC) across human and autonomous agent actions.
• Engaging directly with customer stakeholders, from technical teams to executives.

What We Value

• Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools.
• Solving real business problems, not academic benchmarks.
• Ability to collaborate efficiently in teams of technical and non-technical individuals.
• An eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
• A relentless focus on security, governance, and auditability. You understand that in the enterprise space, AI is only as useful as its compliance trail.

What We Require

• Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape.
• Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar. (Deep expertise in Go and React/Next.js is highly preferred).
• Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
• Hands-on experience with container orchestration (Kubernetes, Helm, Skaffold) and service mesh architectures (Istio).
• Familiarity with federal and enterprise compliance frameworks (FedRAMP, SOC 2, HIPAA) and how to architect systems that meet these stringent requirements.
• Ability and interest in traveling up to 25%, as needed to client sites, but flexible based on personal preferences.

A World-Changing Company

PRR Group builds the cloud-agnostic foundation for enterprise SaaS and autonomous AI agents. We deliver protocol-native infrastructure that empowers both Commercial and Federal partners to deploy secure, scalable, multi-tenant solutions anywhere—cloud, hybrid, or on-prem. By combining deep domain expertise with an unwavering commitment to governance (including SOC 2, HIPAA, and FedRAMP standards), we allow the world's most critical institutions to orchestrate AI agents that act on enterprise data securely and autonomously. We are a proud Microsoft partner, building the infrastructure that outpaces commodity software.

The Role

As a Junior Software Engineer at PRR Group, you will be part of a high-performing engineering team building the core infrastructure and microservices that power our enterprise AI agents. This role is a unique opportunity to level up your skills by operating at the intersection of cloud-native engineering, big data analytics, and agentic AI. You will learn from senior architects and contribute to real-world, highly scalable systems across the Healthcare, Legal, and FinOps sectors.

Core Responsibilities

• Developing and maintaining resilient microservices, backend APIs, and agentic AI workflows using Go, Node.js, and TypeScript.
• Collaborating on the design and implementation of event-driven architectures and distributed systems.
• Supporting the development of scalable data pipelines and big data analytics solutions utilizing PostgreSQL and other robust datastores.
• Assisting in containerized deployments using Docker, Kubernetes, and CI/CD pipelines.
• Participating in the integration of enterprise identity management and tenant isolation (e.g., Keycloak).
• Working closely with senior engineers to learn industry best practices, operationalize machine learning models, and build out our core platform foundation.

What We Require

• 1-3 years of professional or strong academic experience in software engineering, with a foundational understanding of backend systems.
• Proficiency in at least one modern backend language such as Go, TypeScript, or Node.js.
• Familiarity with cloud concepts (Azure, AWS, or GCP) and an eagerness to master cloud-native development.
• Basic understanding of containerization (Docker) and an interest in learning Kubernetes and microservices architectures.
• Interest in agentic AI development, big data ecosystems, and scalable architectures.
• A strong desire to learn, grow, and tackle challenging problems in a fast-paced, collaborative environment.
• An appreciation for clean code, solid testing, and enterprise security standards.

A World-Changing Company

PRR Group builds the cloud-agnostic foundation for enterprise SaaS and autonomous AI agents. We deliver protocol-native infrastructure that empowers both Commercial and Federal partners to deploy secure, scalable, multi-tenant solutions anywhere—cloud, hybrid, or on-prem. By combining deep domain expertise with an unwavering commitment to governance (including SOC 2, HIPAA, and FedRAMP standards), we allow the world's most critical institutions to orchestrate AI agents that act on enterprise data securely and autonomously. We are a proud Microsoft partner, building the infrastructure that outpaces commodity software.

The Role

As a Senior Software Engineer at PRR Group, you will be instrumental in building the core infrastructure and backend services that power our enterprise AI agents. You will design, develop, and deploy scalable architectures that solve complex enterprise challenges, operating at the intersection of traditional cloud-native engineering and cutting-edge AI implementation. You will help build the foundation that supports industry-specific verticals across Healthcare, Legal, and FinOps.

Core Responsibilities

• Architecting and building resilient backend services and APIs using Go and TypeScript/Next.js.
• Designing and implementing event-driven architectures leveraging tools like NATS JetStream and Temporal.
• Developing robust, multi-tenant data pipelines and wrangling massive-scale data in PostgreSQL.
• Setting up and maintaining containerized deployments using Kubernetes (k3d/Istio), Helm, and Skaffold.
• Integrating enterprise identity management and enforcing strict tenant isolation utilizing Keycloak (OIDC).
• Collaborating with Forward Deployed Engineers and AI Architects to operationalize and scale machine learning models and LLM wrappers for production.

What We Require

• 7+ years of experience in software engineering, with a focus on backend systems and distributed architectures.
• Deep expertise in backend languages like Go (highly preferred) and/or TypeScript/Node.js.
• Strong background in building and scaling cloud-native applications on Azure, AWS, or GCP.
• Hands-on experience with Kubernetes, service mesh architectures (Istio), and CI/CD pipelines.
• Familiarity with event-driven architectures (Temporal, NATS) and complex database systems.
• A security-first mindset and experience with enterprise compliance frameworks (FedRAMP, SOC 2, HIPAA) and how to architect systems that meet these stringent requirements.