Applied AI Lead

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy.

Sia supports Energy & Utilities, Transportation, and Industrials in driving transformation, innovation, and competitiveness. Since 2000, we have guided energy companies (oil & gas and utilities), transportation, industrial and processes manufacturing leaders through growth strategies, business transformation, digital modernization, energy transition, regulatory challenges, application of AI technologies, and Industry 4.0 advancements. Our industry subject matter experts help our clients to adapt, innovate, and lead in an evolving landscape.

We'relooking for an Applied AILeadto 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'llpartner 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 workin production, not just in a demo.

You'lljoin 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 work streams 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

Required

5-8+ years of experience building and shipping software or AI/ML solutions, including production deployment

Hands‑on experience building with Generative AI: LLMs, AI agents, copilots, retrieval‑augmented generation (RAG), or workflow automation platforms; you should be able to speak to code you've written, not just…