Job description

We're looking for an Applied AI Lead to join Sia's ETI practice and help clients move AI, automation, and agent-based workflows from idea to working production systems.

This is a hands-on technical role. You will personally build, prototype, and ship AI-enabled solutions inside client environments, often bridging modern AI tooling with the operational technology (OT) and legacy IT systems common in energy, transportation, and industrial settings. You'll partner closely with our AI Transformation Managers, who own the business case and stakeholder relationships, so you can focus on what you do best: building things that actually work in production, not just in a demo.

You'll join a growing ETI technical team, working day to day alongside AI Transformation Managers and Sia's broader Data & AI colleagues on live client engagements.

What You'll Do

Build & Ship AI Solutions

• Design, prototype, and build AI agents, copilots, and automation workflows directly inside client systems

• Write production-quality code to move solutions from pilot to scaled deployment

• Integrate AI tooling with clients' existing data platforms, applications, and, where relevant, operational technology (OT) environments

• Own technical delivery of assigned workstreams end to end, including testing, iteration, and hand-off to client teams

Bridge Business and Technical Teams

• Partner with AI Transformation Managers to translate business requirements into technical specifications and delivery plans

• Work directly with client engineering, data, and IT/OT teams to understand system constraints and integration paths

• Translate technical trade-offs and constraints back into plain language for business stakeholders

Solve for Production, Not Just Pilots

• Evaluate emerging AI platforms, frameworks, and tools for practical fit within client environments, where legacy, high-reliability, or safety-critical systems are often the norm

• Build monitoring, evaluation, and guardrails so solutions perform reliably once in production

• Troubleshoot and resolve technical issues that arise during pilot and scale phases

Contribute to the Practice

• Build reusable technical accelerators, code libraries, and reference architectures for the ETI practice

• Mentor junior technical talent and contribute to technical hiring and practice development

• Share learnings across engagements to shorten build time on future projects