• The Senior Systems / Project Engineer is responsible for leading technical solution design, deployment, and support across Fortify Technology’s managed clients, with a primary focus on Microsoft 365, Intune MDM, and digital transformation projects. • Solution Design & Implementation Architect and deliver Microsoft 365-based solutions including Exchange Online, SharePoint, Teams, and Entra ID integration. • Design and deploy Intune MDM and Autopilot for endpoint standardisation, compliance, and automation. • Deliver hybrid identity, device management, and zero-trust architecture projects. • Plan and execute digital transformation initiatives including migrations from legacy infrastructure to modern cloud-first environments. • Project Delivery - Manage end-to-end technical delivery for assigned client projects. • Produce detailed implementation plans, configuration documentation, and risk assessments. • Liaise with vendors, stakeholders, and clients to ensure clear expectations, scope control, and successful outcomes. • Maintain project documentation within Fortify’s PSA (HaloPSA) and knowledge systems. • Act as Tier 3 escalation point for complex technical incidents. • Maintain and optimise client environments within best-practice frameworks. • Support proactive maintenance, patch management, and monitoring initiatives through Fortify’s RMM and SOC platforms. • Implement and enforce device compliance, Conditional Access, MFA, DLP, and encryption policies within Microsoft 365. • Ensure solutions align with ISO 27001, Essential 8, and Fortify’s internal governance standards. • Provide technical guidance to junior engineers and support technicians. • Contribute to standard operating procedures (SOPs), configuration baselines, and technical documentation. • Participate in internal reviews to improve Fortify’s service delivery, automation, and client experience.

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.