- Manage, coach, and develop a team of solutions engineers/architects
- Oversee technical discovery, solution design, demos, and proof-of-concepts (POCs) for prospective customers evaluating AI products
- Guide the team in helping customers integrate AI/ML APIs, models, or platforms into their existing systems
- Develop reusable solution architectures, demo environments, and best practices for common AI use cases such as RAG, agents, fine-tuning, and automation
- Partner closely with Sales, Product, Engineering, and Customer Success to align technical solutions with business goals
- Serve as an escalation point for complex technical objections or implementation blockers during the sales cycle
- Build technical training materials and certifications for the solutions engineering team and broader sales organization
- Track team performance metrics such as POC win rate, time-to-value, and deal velocity, and continuously improve pre‑sales processes
- Recruit and interview candidates with strong technical and communication skills
Core Competencies
Demonstrates expertise in managing and developing solutions engineering teams while integrating AI/ML technologies into customer systems. Proven ability to align technical solutions with business objectives and enhance pre‑sales processes through effective communication and training.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Five or more years in solutions engineering, sales engineering, or technical consulting, with at least two years in a leadership role
- Strong understanding of AI/ML concepts including LLMs, embeddings, RAG, model APIs, and prompt engineering
- Experience with cloud platforms such as AWS, GCP, and Azure, and integration technologies like APIs, SDKs, and webhooks
- Proven ability to communicate technical concepts to both technical and non‑technical or executive audiences
- Track record of supporting complex enterprise sales cycles