Unisys

About the Company

We are a global technology solutions company that powers breakthroughs for the world’s leading organizations. These solutions — digital workplace, cloud, applications & infrastructure, enterprise computing and business process solutions — help people overcome obstacles and not only reach their greatest potential but go beyond it.

For more information about how we deliver for our clients, visit https://www.unisys.com/.

Listed Jobs

Company Name

Unisys

Job Title

Senior Project Support Specialist

Job Description

**Job title** Senior Project Support Specialist **Role Summary** Provide comprehensive administrative and technical support to multiple IT projects within a large EU Programme PMO, ensuring accurate documentation, effective project governance, and adherence to PRINCE2 standards. **Expectations** - Maintain project artefacts, registers, and configuration management logs. - Facilitate project board meetings and quality review activities. - Deliver timely, clear minutes and action tracking across project teams. - Manage project schedules, forecasts, and reporting to stakeholders. **Key Responsibilities** - Arrange and document meetings, produce structured minutes and action items. - Set up and maintain project files, templates, and registers (Quality, Configuration Items, etc.). - Collect actuals and forecasts; update MS Project schedules and project plans. - Support quality review processes and project board preparation. - Compile and distribute project and management reports. - Assist with configuration management procedures and maintain configuration librarian tasks. - Provide expertise on project tools, techniques, and template design. **Required Skills** - Strong written communication and minute‑taking. - Proficiency in MS Project, Word, Excel, PowerPoint. - Familiarity with project management tools and PMO workflows. - Ability to track actions and issues across multiple projects. - Understanding of project governance, risk, issue, and quality processes. **Required Education & Certifications** - Minimum Master’s degree or equivalent (4+ years relevant education). - Minimum 4 years of professional experience: 1+ year of IT project support, multi‑project exposure, end‑to‑end IT project lifecycle. - PRINCE2 Foundation certification (or equivalent). - Experience in a PMO using PRINCE2 or comparable methodology.

Strasbourg, France

On site

Senior

13-03-2026

Company Name

Unisys

Job Title

Agentic AI Engineer

Job Description

Job Title: Agentic AI Engineer Role Summary: Design, build, and scale production‑grade AI agent systems and the underlying infrastructure that supports end‑to‑end software delivery. Lead the creation of orchestration frameworks, observability tooling, and experimentation pipelines to enable teams to automate and monitor AI assistants across the SDLC. Expectations: - Own the end‑to‑end lifecycle of agentic solutions, from architecture and tooling to governance and performance monitoring. - Work in a fast, iterative environment, turning ambiguous concepts into polished, usable products. - Demonstrate strong product sense for automation opportunities, clear communication of trade‑offs, and influence across multiple teams. Key Responsibilities: 1. **Agent Development & Automation** – Build production‑ready AI agents that replace manual handoffs, create CLI integrations, design testing strategies, and embed corporate “Golden Path” scaffolding into new projects. 2. **Infrastructure & Platform** – Architect scalable deployment environments, develop SDKs, templates, and a Model Context Protocol catalog; implement governance for agent permissions and system access. 3. **Observability & Analytics** – Deploy metrics, logging, and alerting for agents; build dashboards, KPI frameworks, and anomaly detection to quantify productivity gains. 4. **Collaboration & Adoption** – Partner with product, ops, and engineering teams to prototype, validate, and roll out AI tools; educate stakeholders through data‑driven reports and visualizations. 5. **Experimentation & Road‑mapping** – Identify AI‑first opportunities in the SDLC, prototype solutions, measure outcomes, and iterate on next‑generation features. Required Skills: - 5–7+ years producing scalable software systems. - Proven experience with LLM‑based agent orchestration frameworks. - Full‑stack expertise: Java, Python, JavaScript/TypeScript; Spring Boot, Angular. - Cloud & CI/CD proficiency (AWS, GitLab/Hub, Jenkins). - Observability: Prometheus, Grafana, CloudWatch, structured logging. - Strong foundation in system design, internal tooling, and DevOps practices. - Ability to craft testing suites and instrumentation for AI agents. - Excellent communication and data‑driven storytelling. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Certifications in cloud (AWS Certified Solutions Architect, etc.) or observability tools are a plus.

Rockville, United states

Hybrid

17-03-2026

Company Name

Unisys

Job Title

Artificial Intelligence Engineer

Job Description

Job Title: Artificial Intelligence Engineer Role Summary: Design, develop, and deploy machine learning and deep‑learning solutions. Build end‑to‑end AI pipelines from data ingestion to production deployment on cloud platforms, ensuring scalability, reliability, and continuous improvement. Expectations: Deliver high‑quality AI models that meet business objectives within agreed timelines. Collaborate across technical and non‑technical teams to translate requirements into scalable AI solutions. Continuously optimize models and infrastructure for performance and cost efficiency. Key Responsibilities: - Develop and train ML/DL models using TensorFlow, PyTorch, or equivalent frameworks. - Build and maintain data pipelines, feature engineering workflows, and model deployment pipelines. - Deploy models to cloud environments (AWS, Azure, GCP) with CI/CD practices. - Analyze large, complex datasets to extract insights and improve model accuracy. - Collaborate with product, data science, and engineering teams to identify AI opportunities and translate them into actionable solutions. - Monitor model performance, troubleshoot issues, and implement retraining or fine‑tuning as needed. - Document models, code, and deployment procedures for reproducibility and compliance. Required Skills: - Proficient in Python, R, or Java; strong coding and version control skills. - Hands‑on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit‑learn). - Familiarity with cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI) and deployment in CI/CD pipelines. - Strong analytical, problem‑solving, and statistical skills. - Knowledge of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) is a plus. - Understanding of big‑data technologies (Spark, Hadoop, Databricks) is preferred. - Background in NLP, computer vision, or other advanced AI techniques is an advantage. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or related field. - Certifications in cloud AI (AWS Machine Learning Specialty, Google Cloud Professional ML Engineer, Microsoft Certified: Azure AI Engineer) or relevant platforms are highly valued.

Reston, United states

Hybrid

26-03-2026