Forward Deployed AI Consultant – Tech Consulting

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Das ist der Job

Nice-to-Have: Direct experience within the Adobe ecosystem (Adobe services or Adobe-related implementation work).

Darum lohnt es sich

Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit).

Rapid Prototyping: Ability to independently create small, functioning AI POCs using modern tools (e.g., Claude, ChatGPT, Cursor, Lovable, Replit, Vercel, n8n, Zapier).

Responsibilities Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps.

Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs.

Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability.

Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.

Requirements Stakeholder Management: Proven experience working directly with business stakeholders and executives to extract business problems and shape technical requirements. AI & Automation Delivery: A track record of delivering practical AI, workflow automation, or digital transformation initiatives.

Technical Literacy: Strong understanding of system data flows, API integrations, SaaS connections, and basic software product delivery concepts. Technical Credibility: Ability to confidently guide technical client conversations and articulate the operational differences between a scrappy prototype and a production-grade implementation.

Domain Experience: Background in consulting, digital agency environments, customer experience (CX), marketing technology, or enterprise digital initiatives. High Agency: Proven ability to operate with extreme autonomy—gathering rapid user feedback and iterating quickly without waiting for a perfect spec sheet.

Hands-on experience with AI agents, workflow automation, RAG, prompt engineering, or AI evaluation frameworks. Familiarity with LangChain, LangSmith, Promptfoo, vector databases, or AI orchestration frameworks. Basic coding capabilities in Python or JavaScript (highly valued for prototyping speed).

Background in marketing tech, content supply chains, personalization, or digital operations for enterprise-scale clients. #J-18808-Ljbffr

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