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CEI · Pittsburgh, Pennsylvania
PreSales, AI Engineering & Transformation – Job Description
Role Overview
The
Presales AI Engineer
is a hybrid
technical + consultative sales role
responsible for helping clients understand, evaluate, and adopt AI-driven solutions. This role operates at the intersection of
solution architecture, client engagement, and revenue generation , supporting the sales team in winning complex AI and digital transformation deals.
You will partner with sales leaders, solution architects, and delivery teams to
translate business challenges into AI solutions , develop
demos and proof-of-value (PoV) engagements , and drive
technical win strategy
across enterprise opportunities.
Primary Objectives
Accelerate
pipeline conversion and deal closure
through strong technical solutioning
Establish credibility with enterprise clients as a
trusted AI advisor
Demonstrate business value of AI solutions through
PoVs, demos, and architecture
Ensure seamless transition from
sales → delivery
Key Responsibilities
1. Client Engagement & Solutioning
Partner with sales teams in
client meetings, discovery sessions, and executive briefings
Translate business problems into
AI/ML, GenAI, and data platform solutions
Articulate
business value, ROI, and technical feasibility
of AI solutions
Engage with C-level and technical stakeholders to shape
solution vision
2. Technical Presales Execution
Design and deliver
custom demos, prototypes, and AI solution walkthroughs
Lead
Proof of Value (PoV)
initiatives aligned to client use cases
Cloud platforms (Azure, AWS, GCP)
Data platforms (Databricks, Fabric, Snowflake)
GenAI frameworks (LLMs, RAG, agents)
Internal alignment: Presales teams are expected to support
demo environments, PoVs, and technical validation during GTM motions
3. Proposal & Deal Support
Collaborate on
RFP/RFI responses, proposals, and solution documents
Solution architecture
Delivery approach
Effort estimates and assumptions
Support pricing strategy with
technical inputs and risk considerations
4. Sales Enablement & Thought Leadership
AI solution positioning
Demo scripts and playbooks
Objection handling strategies
Contribute to
AI offerings, accelerators, and reusable assets
Stay current on
AI trends, tools, and competitive landscape
5. Sell–Deliver Continuity
Smooth handoff to delivery teams
Alignment between proposal and execution
Provide advisory support during early delivery phases
Internal alignment: CEI emphasizes
continuity from presales to delivery to reduce execution risk
Required
AI / Machine Learning / Generative AI
Data engineering or software development
Python, APIs, and modern development frameworks
Cloud platforms (Azure, AWS, or GCP)
AI frameworks (LLMs, vector databases, orchestration tools)
Alignment: CEI AI engineers are expected to have
hands-on experience building AI-driven solutions in cloud environments
Details
| Company | CEI |
| Location | Pittsburgh, Pennsylvania |
| Type | FULL TIME |
| Niche | Full-time |