Presales AI Engineer

Job Description

Job Description

Presales AI Engineer
CEI America — Digital Tech & AI Transformation Consulting

Location Preference: Pittsburgh, PA | Philadelphia, PA | Washington, DC | Texas | Orlando, FL

About the Role
The Presales AI Engineer is a hybrid technical and consultative sales role helping enterprise clients understand, evaluate, and adopt AI-driven solutions. You'll partner with sales leaders, solution architects, and delivery teams to translate business challenges into AI solutions, build demos and proof-of-value (PoV) engagements, and drive technical win strategy across enterprise opportunities.

What You'll Do

• Partner with sales teams in client meetings, discovery sessions, and executive briefings
• Translate business problems into AI/ML, GenAI, and data platform solutions
• Design and deliver custom demos, prototypes, and AI solution walkthroughs
• Lead Proof of Value (PoV) initiatives aligned to client use cases
• Develop reference architectures using cloud platforms (Azure, AWS, GCP), data platforms (Databricks, Fabric, Snowflake), and GenAI frameworks (LLMs, RAG, agents)
• Collaborate on RFP/RFI responses, proposals, and solution documents
• Define solution architecture, delivery approach, and effort estimates
• Enable sales teams with AI solution positioning, demo scripts, and objection handling
• Support smooth handoff to delivery teams and stay engaged through early delivery phases

What You Bring

• Strong background in AI / Machine Learning / Generative AI
• Experience in data engineering or software development
• Hands-on experience with Python, APIs, and modern development frameworks
• Experience with cloud platforms (Azure, AWS, or GCP)
• Familiarity with AI frameworks (LLMs, vector databases, orchestration tools)
• Experience in technical presales, solution consulting, or architecture roles
• Enterprise client engagement and consultative selling experience
• Ability to present complex technical topics to business audiences
• Strong communication, storytelling, and executive presence
• Understanding of enterprise sales cycles and ROI-driven solution positioning

Preferred Qualifications

• College degree required
• Experience supporting AI/ML deals or digital transformation initiatives
• Exposure to Databricks, Microsoft Fabric, or enterprise AI platforms
• Prior experience in a system integrator or consulting environment
• Knowledge of AI governance, security, and responsible AI

Ideal Candidate
You're roughly 50% engineer, 50% consultant — someone with real technical depth who's just as comfortable in front of a C-suite audience as they are architecting a solution. You're energized by ambiguity and fast-moving sales cycles, and you can act as a "technical closer" for AI deals.