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. #ZR #INDCEI

Requirements

Must-haves

Presales AI Engineer
CEI America — Digital Tech & AI Transformation Consulting
Location Preference: Pittsburgh, PA | Philadelphia, PA | Washington, DC | Texas | Orlando, FL
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
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

Nice-to-haves

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

Application prep

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Keywords to mirror

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