Forward Deployed Solutions Engineer - AIM
Role Overview
Own significant, complex technical workstreams within defined Forward Deployed Engineering engagements.
Translate customer workflows, requirements, data, integrations, and deployment constraints into reliable working solutions.
Accountable for technical quality, schedule, customer value, reusable outputs, contributor coordination, and timely escalation.
Key Skills for This Role
Full Job Posting
Role overview
Own significant, complex technical workstreams within defined Forward Deployed Engineering engagements.
Translate customer workflows, requirements, data, integrations, and deployment constraints into reliable working solutions.
Accountable for technical quality, schedule, customer value, reusable outputs, contributor coordination, and timely escalation.
Key responsibilities
- Own workstreams from discovery and planning through validation and handover; define delivery plans, quality measures, and acceptance criteria.
- Build, configure, integrate, prototype, test, troubleshoot, and validate AVEVA solutions in real customer environments.
- Resolve technical issues across APIs, data flows, AI, security, performance, scalability, and deployment; balance value, feasibility, speed, quality, reuse, and readiness.
- Coordinate contributors and lead discovery, demonstrations, testing, acceptance, performance checks, and production-readiness activities.
- Create reusable connectors, configurations, templates, components, AI patterns, accelerators, and playbooks; communicate product gaps and improvement opportunities.
Essential skills and experience
- Typically around 8–10 years of relevant experience, or equivalent demonstrated capability in industrial technology implementation and complex technical delivery.
- Hands-on AVEVA configuration, integration, testing, troubleshooting, validation, and handover; strong knowledge of AVEVA products, industrial workflows, data, systems, APIs, cloud/edge, security, performance, and deployment.
- Software development and application engineering expertise, including software design, programming, connectors, data flows, scripting, and system integration.
- Ability to develop AI agents, skills, tools, and plugins using an agentic framework; MAF is preferred.
- AI tools for the software development lifecycle such as Copilot, and practical awareness of AI/ML and generative AI use cases within technical, safety, and governance guidance.
- Sound technical judgment, customer-facing communication, cross-functional coordination, and ability to coach less-experienced engineers while remaining hands-on.
Employment and workplace
- Full-time role with a hybrid schedule requiring 50% office presence in Abu Dhabi, UAE.
Hiring process
- Successful applicants must pass a comprehensive background check conducted in accordance with local laws.
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