Staff AI Customer Engineer

What you'll do

• Lead discovery and "art-of-the-possible" ideation sessions with C-suite and senior executive audiences.
• Design end-to-end AI architectures including agentic platforms, data pipelines, and ML components.
• Manage the full engineering lifecycle for production-ready AI applications from prototype to deployment.
• Develop client-facing artifacts such as proposals, Statements of Work, and technical architecture decks.
• Balance architectural decisions regarding quality, safety, latency, cost, and model risk.
• Orchestrate cross-functional teams across sales, engineering, and delivery to ensure consistent outcomes.
• Codify reusable deployment patterns and reference implementations to build internal practice knowledge.
• Mentor and develop junior engineers through coaching and deal reviews.

What we're looking for

• Must have 8+ years of experience in AI/ML engineering, solution architecture, pre-sales, or technical consulting.
• Must possess executive presence to engage and influence C-suite and senior business executives in high-stakes settings.
• Demonstrated success deploying GenAI-powered solutions in enterprise environments at scale.
• Proven ability to lead structured discovery, ideation workshops, and solution design for complex AI opportunities.
• Proficiency in Python and at least one other programming language with fluency in enterprise integration patterns.
• Deep expertise in LLMs, agentic architectures, MLOps/LLMOps, RAG, and evaluation frameworks like LangSmith or Arize Phoenix.
• Experience with multi-hyperscaler platforms including AWS Bedrock, Google Vertex AI, and Azure AI Foundry.
• Work Authorization.