Senior Ai Forward Deployed Engineer

Create a better #TomorrowWithUs
At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over * of the world's most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.
About Portugal Tech Hub
We take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.
With a decade of history and around *** experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.
Are you ready to be part of the change? Come join us ⭐
First to deploy. First to solve. First to ship.
We are looking for Senior AI Engineers who are equal parts researcher and builder - the person who takes a new agent runtime, a frontier model or a foundation model that landed last month, and gets it doing real work inside a live Siemens environment before the industry has agreed whether it works. You build something usable in days, validate it with the people who will actually use it, harden it, and hand it over to run at scale.
Welcome to our world.
What Forward Deployed Engineering Means Here
Forward Deployed Engineering is a specific operating model, not a job title we borrowed. It exists because Siemens now runs a genuinely powerful AI platform - the Siemens Data & AI Cloud (SDC) - and the people with the hardest problems worth solving with it sit in supply chain, finance, quality, sales and HR, not in engineering. FDEs close that gap by going to where the problem is.
An FDE is a customer-facing software engineer. You embed with a business team, you learn their process in uncomfortable detail, you build the thing that solves their actual problem, you get it into production, and then you hand it over and leave. You are not demoing, you are not advising, and you are not throwing a prototype over a wall.
Critically, you build on a platform. This matters more than it sounds. We are not a dev shop and we do not start from a blank page. Every solution is assembled from platform primitives that already exist, which is why a four-to-eight-week engagement is realistic and why what you build survives after you leave. If you find yourself rebuilding a primitive, that is a signal about the platform - and telling us so is part of the job.
The platform you build on:
The platform you design against:
Siemens Data & AI Cloud (SDC) - our multi-cloud data and AI platform across Azure, AWS and GCP.
Data layer - Snowflake and data products, Neo4j knowledge graphs, and the Knowledge Fabric.
Agent layer - MCP & skill marketplace
AI products - packaged AI capabilities to provide solutions and agents with the right tools
Observability and governance - Arize for tracing, evaluation harnesses, guardrails and audit by default.
Your mission will be...
You are a hands-on technical leader working at the intersection of current AI research and enterprise-scale deployment. You work in four-to-eight-week engagements, embedded with business teams across Siemens, building AI systems against real, high-impact problems - intelligent automation in supply chain, decision support in finance, quality workflows on the factory floor, agentic processes across sales and HR.
You will be among the first engineers at Siemens to put emerging technology to work: open-source agent runtimes such as hermes, robotic and vision-language-action foundation models, NemoClaw and the NVIDIA stack, multi-agent orchestration and next-generation frontier models. Your job is to establish, with evidence, how they create value inside a complex industrial enterprise - and where they do not.
Your Key Responsibilities
Technology front runner.
Be the first at Siemens to get emerging AI technology into production-grade systems. Validate what works. Document what does not, honestly and in public.
Full-stack AI development.
Design and build end to end: data ingestion and preparation, retrieval and model layer, agent orchestration, APIs, and the user-facing interface people actually touch. In this team, shipping a decent UI into an environment used to bad enterprise software is disproportionately powerful.
Agentic AI engineering.
Build agents and multi-agent systems on LangGraph, Google ADK, Microsoft Agent Framework, the OpenAI Agents SDK and Agentforce - with production reliability, evaluation and guardrails, not demo-quality behaviour.
Cross-platform delivery.
Work across SDC (Azure, AWS, GCP), and system-of-records, using