Hybrid GenAI Field Delivery Leader

Ppt Consulting; Antwerpen; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Mobility budget

Company car

Hospital insurance

Learning budget

Conference time

Job summary

Sia, a global management consulting group, is seeking a Forward Deployed Engineer Manager in Belgium to lead production-grade GenAI deployments across client environments. You will design scalable architectures, integrate APIs and data systems, and drive adoption that delivers measurable ROI in daily workflows.

You will operate at the intersection of Data Science, ML/Platform Engineering, and client delivery, guiding projects from scoping to real-world impact.

Qualifications

• Strong CS/AI background with production systems.
• 5+ years of leadership experience.
• Deep hands-on with LLMs in production or substantial projects.
• Proficient in Python and can adapt to client stacks.
• Experience integrating APIs and connecting heterogeneous systems.
• Fluent in English; French and Dutch preferred; German a plus.

Responsibilities

• Sit with client’s team to scope AI value and set delivery direction.
• Lead design and delivery of LLM-based systems: autonomous agents, RAG pipelines, workflows, and interfaces.
• Own integration into client environments (APIs, databases, tools) with regulatory compliance.
• Drive adoption across client organizations and shape training approaches.
• Partner with executives to refine production solutions and plan investments.
• Bridge engineering and business leadership; communicate clearly to both sides.
• Coach teams and set quality standards for AI delivery.

Skills

Leadership

LLMs in production

Python

API integration

Client-facing

English

Dutch

French

Tools

LangChain

LlamaIndex

OpenAI SDK

Anthropic SDK

AWS

Databricks

Job description

Sia, a global management consulting group, is seeking a Forward Deployed Engineer Manager in Belgium to lead production-grade GenAI deployments across client environments. You will design scalable architectures, integrate APIs and data systems, and drive adoption that delivers measurable ROI in daily workflows.

You will operate at the intersection of Data Science, ML/Platform Engineering, and client delivery, guiding projects from scoping to real-world impact.