AI Presales Engineer

CEI

Pittsburgh (Allegheny County)

Hybrid

USD 180,000 - 260,000

Full time

12 days ago

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Job summary

CEI is seeking a Director of AI Engineering & Transformation in a Presales capacity. The role blends technical and consultative sales, partnering with sales leaders to translate business challenges into AI solutions, develop demos and PoVs, and drive technical win strategies across enterprise opportunities.

The candidate will collaborate with solution architects and delivery teams to accelerate pipeline conversion, establish credibility as a trusted AI advisor, and ensure smooth handoffs from

Qualifications

  • Strong background in AI engineering and presales.
  • Experience translating business challenges into AI/ML solutions.
  • Hands-on experience building AI-driven solutions in cloud environments.
  • Ability to engage with C-level stakeholders to shape solution vision.

Responsibilities

  • Develop custom demos, PoVs, and AI solution walkthroughs.
  • Lead Proof of Value initiatives aligned to client use cases.
  • Design delivery and engagement strategies for GTM motions.
  • Support pricing strategy with technical inputs and risk considerations.
  • Enable sales teams with demo scripts, playbooks, and assets.

Skills

Python
APIs
Cloud platforms
AI frameworks

Job description

Director, AI Engineering & Transformation (PreSales) – 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

  • 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
  • Design and deliver custom demos, prototypes, and AI solution walkthroughs
  • Lead Proof of Value (PoV) initiatives aligned to client use cases
  • 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
  • Define:
  • Delivery approach
  • Effort estimates and assumptions
  • Support pricing strategy with technical inputs and risk considerations

4. Sales Enablement & Thought Leadership

  • Enable sales teams with:
  • Demo scripts and playbooks
  • Contribute to AI offerings, accelerators, and reusable assets
  • Stay current on AI trends, tools, and competitive landscape

5. Sell–Deliver Continuity

  • Remain engaged post-sale to ensure:
  • 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 Qualifications

Technical Skills

  • Strong background in:
  • Experience with:
  • 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

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