AI Presales Engineer

Presales AI Engineer – 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
• Develop reference architectures leveraging:
• 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
• Define:
• Solution architecture
• Delivery approach
• Effort estimates and assumptions
• Support pricing strategy with technical inputs and risk considerations

4. Sales Enablement & Thought Leadership

• Enable sales teams with:
• 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

• 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:
• AI / Machine Learning / Generative AI
• Data engineering or software development
• 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