Principal Forward Deployed Engineer

OutSystems OutSystems · Enterprise · United Kingdom · Remote

Principal Forward Deployed Engineer at OutSystems, focusing on embedding within customer missions to drive agentic transformation and deliver AI-native solutions using the OutSystems platform. This role involves discovering AI use cases, designing and deploying custom AI solutions, and ensuring customer success with agentic capabilities, RAG, and LLM-based workflows within enterprise environments.

What you'd actually do

  1. Discover and Prioritize AI-driven business use cases. Lead in what to build and why, not just how. Act as if the customer’s mission is our own. Stay accountable to the outcome
  2. Move with urgency, focus, and resilience, wearing many hats with confidence. Test, adapt, and scale fast. Evolve in motion, turning ambiguity into momentum.
  3. Embraces complex customer environments not as obstacles, but as blank canvases
  4. Deep Customer Embedding: operate as a dedicated resource embedded within customer teams to identify and activate new opportunities, finding and solving complex business problems.
  5. Accelerate Adoption: actively drive the adoption of OutSystems Agentic capabilities to prevent slowdowns and ensure "agentic success" at strategic accounts.

Skills

Required

  • Consulting skills
  • Deep architectural knowledge
  • Hands-on experience in delivering AI solutions
  • Experience with agentic AI
  • Experience with LLM-based workflows
  • Experience with RAG
  • Experience with enterprise integrations
  • Experience preparing and structuring enterprise data for AI use cases
  • Solid understanding of AI governance, security, guardrails, and compliance requirements
  • Consultative engineering skills
  • Ability to turn ambiguous business problems into practical solutions and rapid prototypes
  • Ability to deliver measurable business outcomes

Nice to have

  • Forward-Deployed Engineer responsibilities in complex enterprise environments
  • building trust and driving delivery with customers
  • designing, building, and deploying custom AI solutions to production
  • unstructured and semi-structured data

What the JD emphasized

  • agentic future
  • agentic transformation
  • enterprise Agentic solutions
  • agentic success
  • AI-Native Delivery
  • custom AI solutions
  • agentic AI
  • LLM-based workflows
  • RAG
  • enterprise integrations
  • enterprise data
  • AI governance
  • security
  • guardrails
  • compliance requirements
  • agentic era
  • human-AI collaboration

Other signals

  • customer embedding
  • agentic transformation
  • AI-Native Delivery
  • enterprise AI solutions
  • LLM-based workflows
  • RAG
  • enterprise integrations
  • AI governance
  • security
  • guardrails
  • compliance