AI Enablement Lead/Forward Deployed Engineer
Listed on 2026-07-09
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
We're conducting a retained search for an innovative technology company that is redefining how AI is integrated into business operations. Our client is looking for a highly technical, customer-facing Forward Deployed AI Engineer / AI Enablement Lead to work directly with business leaders, translate complex challenges into AI solutions, and drive enterprise AI adoption.
This is a unique opportunity for someone who enjoys building, consulting, and shipping real AI products—not just prototypes.
What You'll Do- Partner directly with customers and internal stakeholders to identify high-value AI use cases.
- Design, prototype, and deploy production-ready AI solutions using modern LLMs and agent frameworks.
- Build AI copilots, intelligent workflows, RAG applications, and automation solutions that deliver measurable business value.
- Lead AI enablement initiatives by educating users, improving adoption, and establishing AI best practices across the organization.
- Collaborate with engineering teams to integrate AI capabilities into existing products and platforms.
- Work across product, engineering, data, and executive leadership to accelerate AI transformation.
- 5+ years of software engineering, machine learning, or AI application development experience.
- Hands-on experience with modern Generative AI technologies, including large language models and prompt engineering.
- Experience with APIs, cloud platforms (AWS, Azure, or GCP), and modern software architecture.
- Familiarity with vector databases, Retrieval-Augmented Generation (RAG), AI agents, orchestration frameworks (such as Lang Chain or Llama Index), and model evaluation techniques.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Consulting, solution engineering, sales engineering, or customer-facing implementation experience is highly valued.
- Multi-agent AI systems
- AI workflow automation
- Knowledge graph integration
- MLOps and model deployment
- Building AI applications at scale
You'll join a company where AI is central to the business strategy—not an experimental initiative. You'll have direct influence on product direction, work alongside talented engineers and executives, and help shape how organizations leverage AI to transform their operations.
If you're passionate about taking AI from concept to production and enjoy working at the intersection of technology, product, and customer success, we'd love to connect.
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