> Markdown version of [/jobs/ext/1666166-leader-ai-hyperspecialist-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/1666166-leader-ai-hyperspecialist-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Leader, AI Hyperspecialist Solutions Engineer

- **Company:** Cisco Systems, Inc.
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $235,300.0 - $301,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Machine Learning, Tensorflow, Google Cloud, Enterprise Software Applications, Large Language Models, Prompt Engineering, Information Technology, Machine Learning Operations, Webhooks
- **Published:** July 18, 2026
- **Apply:** https://dejobs.org/x/x/94EC4C41BE8F4A38814E23F7D07C22FB/job/

## About the Role

* Bachelor's degree in Computer Science, Engineering, or related technical field
 * 5+ years in solutions engineering, sales engineering, or technical consulting, with 2+ years in a leadership role
 * Strong understanding of AI/ML concepts - LLMs, embeddings, RAG, model APIs, prompt engineering
 * Experience with cloud platforms (AWS, GCP, Azure) and integration technologies (APIs, SDKs, webhooks)
 * Proven ability to communicate technical concepts to both technical and non-technical/executive audiences
 * Track record of supporting complex enterprise sales cycles, * Hands-on experience building demos or POCs using LLM APIs (OpenAI, Anthropic, etc.) or ML frameworks
 * Background in customer-facing technical roles at a SaaS or AI/ML company
 * Familiarity with vector databases, agentic frameworks, or MLOps tooling
 * Experience presenting at conferences, webinars, or customer events
 * Prior experience in a specific target industry (e.g., enterprise software, fintech, healthcare)

## Description

The AI Hyperspecialist Solutions Engineering leader directs a team of solutions engineers who partner with sales, customers, and product teams to design and implement AI-powered solutions. This role requires deep technical credibility in AI/ML combined with strong people leadership, ensuring the team effectively translates customer needs into technical solutions while driving revenue and customer success.

Your Impact

 * Team Leadership: Manage, coach, and develop a team of solutions engineers/architects; conduct 1:1s, performance reviews, and skill development plans
 * Pre-Sales Support: Oversee technical discovery, solution design, demos, and proof-of-concepts (POCs) for prospective customers evaluating AI products
 * Customer Enablement: Guide the team in helping customers integrate AI/ML APIs, models, or platforms into their existing systems
 * Technical Strategy: Develop reusable solution architectures, demo environments, and best practices for common AI use cases (e.g., RAG, agents, fine-tuning, automation)
 * Cross-functional Collaboration: Partner closely with Sales, Product, Engineering, and Customer Success to align technical solutions with business goals and feed customer feedback into the product roadmap
 * Escalation Management: Serve as an escalation point for complex technical objections or implementation blockers during the sales cycle
 * Enablement & Training: Build technical training materials and certifications for the solutions engineering team and broader sales org
 * Process & Metrics: Track team performance metrics (POC win rate, time-to-value, deal velocity) and continuously improve pre-sales processes
 * Hiring: Recruit and interview candidates with strong technical and communication skills


## Related Videos

- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [Beyond Webhooks: The Future of Scalable API Event Delivery](https://www.wearedevelopers.com/videos/100312-beyond-webhooks-the-future-of-scalable-api-event-delivery)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Creating bots with Dialogflow CX](https://www.wearedevelopers.com/videos/587-creating-bots-with-dialogflow-cx)
- [What Happens to Leadership When AI Becomes a Teammate?](https://www.wearedevelopers.com/videos/1818-what-happens-to-leadership-when-ai-becomes-a-teammate)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)