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AI Practitioner / Forward Deployed Engineer

ahead-gmbh
Companyahead-gmbh
CategoryEngineering
LocationUS
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted24 Apr 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
The AI Practitioner (Enterprise GPT Platform) is a hands-on, customer-facing role on the Enterprise Insights & GPT Platform team at AHEAD. You will design, build, and run production AI applications on our Enterprise GPT Platform — custom agents, workflows, connectors, and integrations — that fundamentally transform the way AHEAD does work. You'll orchestrate our platform with best-in-class AI tools and emerging technologies to create a cohesive, scalable AI ecosystem. You own the full solution lifecycle: discovery, design, build, rollout, and ongoing optimization. What You'll Do: • Build on the Enterprise GPT Platform, designing, implementing, and deploying custom AI agents, workflows, connectors, and integrations. • Orchestrate the platform with best-in-class AI tools and emerging technologies to create a cohesive, scalable AI ecosystem. • Own the full solution lifecycle: discovery, design, build, rollout, and ongoing optimization. • Work directly with business stakeholders to identify opportunities and translate them into production-ready AI solutions. • Monitor, evaluate, and continuously improve AI systems in production. Required Experience: • Bachelor's degree in Computer Science, Engineering, Information Systems, Data/Analytics, or equivalent experience. • Hands-on experience building and deploying AI applications, including custom agents, retrieval-augmented generation (RAG) pipelines, and LLM-powered workflows. • Familiarity with agent and orchestration frameworks (e.g. LangChain, LangGraph, AutoGen). • Strong software engineering fundamentals. • Experience with cloud infrastructure, APIs, and integration development. • Excellent communication skills to engage with both technical and non-technical stakeholders. How You Work: • Operate as a builder and advisor, not just an implementer. • Thrive in ambiguous environments and take ownership end-to-end. • Continuously learn and adapt to new AI technologies and patterns.