AI Presales Engineer

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
• 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