Job Description:
We are Omnissa. The world is evolving quickly, and organizations everywhere—from global enterprises to educational institutions—are under pressure to deliver flexible, work-from-anywhere experiences. They need secure, scalable, seamless digital work environments that empower employees and customers to access applications from any device, on any cloud. That’s where Omnissa comes in.
The Omnissa Platform is the first AI driven digital work platform designed to deliver smart, seamless, and secure work experiences from anywhere. We uniquely integrate industry leading solutions in Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—all unified through shared data, identity, administration, and automation services. Built on the vision of autonomous workspaces—self configuring, self-healing, and self-securing—Omnissa continuously adapts to how people work, optimizing user experience, IT efficiency, security posture, and cost.
As a global private company with over 4,000 employees, we’re growing rapidly. If you're passionate about building AI systems that operate at a massive scale and shape the future of work, we’d love to meet you.
What is the opportunity?
Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team, responsible for building and enabling AI-driven application experiences across the Omnissa product ecosystem.
As an AI Application Software Engineer, you will design, develop, and integrate intelligent application features powered by AI/ML technologies, including LLMs and data-driven components. You will work closely with platform, product, and engineering teams to deliver seamless AI-powered capabilities within a cloud-scale environment while adhering to strong software engineering practices.
You will own engineering initiatives end-to-end and help foster a culture of high ownership, continuous improvement, and engineering excellence.
Responsibilities
Design, develop, and deliver AI-powered application features and services.
Build and integrate AI capabilities such as LLM-based features, automation workflows, and intelligent user experiences into applications.
Develop backend services, APIs, and application logic that interact with AI/ML systems and models.
Collaborate with AI/ML engineers to integrate models into production-grade applications.
Build scalable and reliable distributed systems, ensuring performance and high availability.
Implement observability, monitoring, and logging for AI-driven application components.
Participate in system design, architecture discussions, and code reviews.
Continuously improve system performance, reliability, and developer productivity.
Stay current with advancements in AI technologies (e.g., LLMs, embeddings, agent frameworks) and apply them to product use cases.
What will you bring to Omnissa?
Required Skills & Experience
5 to 16 years of experience as a Software Engineer role in building scalable applications.
Strong proficiency in Python and at least one additional programming language (Java, Go, or C++).
Experience developing backend systems, APIs, and microservices architectures.
Experience building scalable services using REST/gRPC APIs.
Experience integrating AI/ML capabilities into applications (e.g., APIs for LLMs or ML services).
Strong understanding of data structures, algorithms, and system design principles.
Experience with containerization and orchestration technologies
Strong problem-solving skills and ability to collaborate effectively in Agile environments.
Highly motivated, adaptable, and eager to learn new technologies.
Preferred Skills
Experience building applications using LLMs, RAG systems, or AI agents.
Familiarity with vector databases and embedding models.
Experience with orchestration frameworks (e.g., LangChain, LangGraph).
Knowledge of real-time data processing and event-driven architectures.
Exposure to observability tools and monitoring systems for AI applications.
Skills Required
- 5-10 years (Engineer) or 10-18 years (Senior Engineer) in machine learning engineering or data science roles.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
- Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).
- Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
- Hands-on experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
- Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems.
- Strong problem-solving skills and ability to collaborate effectively in Agile teams.
- Highly motivated, adaptable, and eager to learn new technologies.
- Experience with distributed computing frameworks (e.g., Spark, Ray).
- Experience with orchestration frameworks (e.g., LangChain, LangGraph) to build AI agents and multi-agent systems.
- Experience building feature stores or working with vector databases.
- Knowledge of real-time inference architectures and model monitoring systems.
- Experience developing scalable ML services via REST/gRPC.
Omnissa Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Omnissa and has not been reviewed or approved by Omnissa.
-
Healthcare Strength — Healthcare offerings include comprehensive medical, dental, and vision coverage, with wellness options referenced across materials. Health plans are characterized as decent to strong within a standard tech package.
-
Retirement Support — A 401(k) with company match is part of the core package and is specifically highlighted as a valued benefit in U.S. materials. Retirement support is presented as a stable element of total rewards.
-
Leave & Time Off Breadth — Vacation and PTO are highlighted positively, with generous paid time off and holidays noted in public benefits descriptions. Time-off programs are portrayed as supportive of work-life balance.
Omnissa Insights
What We Do
Omnissa is the digital work platform leader, trusted by thousands of organizations worldwide as the former VMware End-User Computing business. We make digital work, work – for businesses and their people. No painful IT processes or productivity trade-offs. Instead, a seamlessly delivered digital employee experience that simplifies work. Our comprehensive digital work platform enables IT teams to provide secure, personalized experiences for every employee, on any device. Omnissa unifies, automates, and efficiently scales the digital workspace. By empowering employees to do their best work, anywhere, we help workforces everywhere unlock exponential business value. All is made possible with the Omnissa™ Platform, the first AI-driven digital work platform for smart, seamless, and secure work experiences from anywhere. It integrates multiple industry-leading solutions across Unified Endpoint Management, Virtual Desktops and Apps, Digital Employee Experience, and Security and Compliance. By continuously adapting to users’ work styles, Omnissa optimizes user experience, security, IT operations and costs.
