Forward Deployment Engineer/AI Consultant Strategic AI Sales & Solutions

Role Overview We are seeking a Forward Deployment Engineer (FDE) who combines strong hands‑on AI engineering capability with the ability to engage senior clients and sales teams strategically. This role sits at the intersection of AI technology, sales, and delivery, and is critical to accelerating AI deal conversion by bringing technical credibility, solution feasibility, and rapid prototyping early in the sales cycle. The FDE will work alongside AI Advisory consultants, sales leaders, and delivery teams to translate business problems into realistic, differentiated AI solutions, helping clients move from AI ambition to qualified opportunity faster. Key Responsibilities

1. AI‑Led Pre‑Sales & Sales Enablement Act as the technical face of AI in sales and GTM conversations, supporting account teams in early‑stage pursuits Partner with sales leaders to shape AI solution narratives, architecture options, and feasibility assessments Provide real‑time technical validation during client discussions (GenAI patterns, data readiness, architecture choices, risks) Support qualification of AI opportunities by separating what is aspirational vs. what is buildable
2. Forward Deployment & Rapid Prototyping Build lightweight prototypes, PoCs, demos, and reference architectures to support sales cycles Translate client use cases into working AI workflows (e.g., LLMs, agents, RAG, analytics pipelines) Demonstrate “day‑1 value” through quick deployments that increase client confidence and deal momentum Support solution handover from pre‑sales to delivery with clear technical documentation and context
3. Strategic Solutioning & Architecture Design end‑to‑end AI solution architectures covering: GenAI / LLMs / Agentic AI Data platforms (cloud, lakehouse, streaming) MLOps / LLMOps Security, governance, and Responsible AI considerations Work with AI Advisory consultants to align business value, ROI, and operating model with the proposed solution Influence solution strategy to ensure scalability, cost efficiency, and enterprise readiness
4. Collaboration with Delivery & Advisory Teams Act as a bridge between sales and delivery, reducing dependency on billable delivery consultants during pre‑sales Support delivery teams with technical context, assumptions, and detent post‑deal Help create reusable AI assets, accelerators, and reference demos to improve win rates across pursuits
5. Market & Thought Leadership Support Stay current on AI platforms, GenAI trends, and enterprise adoption patterns Contribute to AI offerings, GTM assets, demos, and solution playbooks Support executive‑level storytelling on “Art of the Possible” vs. “Path to Value” Required Skills & Experience Technical Expertise Strong hands‑on experience in AI / ML / GenAI engineering Practical experience with: LLMs, RAG, agents, prompt engineering Python, APIs, cloud AI services (Azure / AWS / GCP) Data engineering and analytics pipelines Solid understanding of AI architecture, scalability, and production constraints Sales & Consulting Mindset Proven experience working in pre‑sales, solution engineering, or client‑facing technical roles Ability to explain complex AI concepts to non‑technical stakeholders clearly and credibly Comfortable engaging with senior client stakeholders, sales leaders, and advisory consultants Strong problem‑framing skills and commercial awareness Preferred Experience Background in Forward Deployment Engineering, Solution Architecture, or AI Consulting Experience supporting enterprise AI deals across BFSI, Utilities, Consumer, or Industrial sectors Exposure to Responsible AI, governance, and compliance‑driven environments Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.