AI Presales Engineer
CEI · Pittsburgh, Pennsylvania, United States
FULL TIME
Job Description
PreSales, AI Engineering & Transformation – Job DescriptionRole Overview
Increase your chances of an interview by reading the following overview of this role before making an application.
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 ObjectivesAccelerate pipeline conversion and deal closure through strong technical solutioningEstablish credibility with enterprise clients as a trusted AI advisorDemonstrate business value of AI solutions through PoVs, demos, and architectureEnsure seamless transition from sales → delivery
Key Responsibilities1. Client Engagement & SolutioningPartner with sales teams in client meetings, discovery sessions, and executive briefingsTranslate business problems into AI/ML, GenAI, and data platform solutionsArticulate business value, ROI, and technical feasibility of AI solutionsEngage with C-level and technical stakeholders to shape solution vision
2. Technical Presales ExecutionDesign and deliver custom demos, prototypes, and AI solution walkthroughsLead Proof of Value (PoV) initiatives aligned to client use casesDevelop 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 SupportCollaborate on RFP/RFI responses, proposals, and solution documentsDefine:Solution architectureDelivery approachEffort estimates and assumptionsSupport pricing strategy with technical inputs and risk considerations
4. Sales Enablement & Thought LeadershipEnable sales teams with:AI solution positioningDemo scripts and playbooksObjection handling strategiesContribute to AI offerings, accelerators, and reusable assetsStay current xzbcwsv on AI trends, tools, and competitive landscape
5. Sell–Deliver ContinuityRemain engaged post-sale to ensure:Smooth handoff to delivery teamsAlignment between proposal and executionProvide advisory support during early delivery phases Internal alignment: CEI emphasizes continuity from presales to delivery to reduce execution risk
Required QualificationsTechnical SkillsStrong background in:AI / Machine Learning / Generative AIData engineering or software developmentExperience with:Python, APIs, and modern development frameworksCloud 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
Increase your chances of an interview by reading the following overview of this role before making an application.
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 ObjectivesAccelerate pipeline conversion and deal closure through strong technical solutioningEstablish credibility with enterprise clients as a trusted AI advisorDemonstrate business value of AI solutions through PoVs, demos, and architectureEnsure seamless transition from sales → delivery
Key Responsibilities1. Client Engagement & SolutioningPartner with sales teams in client meetings, discovery sessions, and executive briefingsTranslate business problems into AI/ML, GenAI, and data platform solutionsArticulate business value, ROI, and technical feasibility of AI solutionsEngage with C-level and technical stakeholders to shape solution vision
2. Technical Presales ExecutionDesign and deliver custom demos, prototypes, and AI solution walkthroughsLead Proof of Value (PoV) initiatives aligned to client use casesDevelop 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 SupportCollaborate on RFP/RFI responses, proposals, and solution documentsDefine:Solution architectureDelivery approachEffort estimates and assumptionsSupport pricing strategy with technical inputs and risk considerations
4. Sales Enablement & Thought LeadershipEnable sales teams with:AI solution positioningDemo scripts and playbooksObjection handling strategiesContribute to AI offerings, accelerators, and reusable assetsStay current xzbcwsv on AI trends, tools, and competitive landscape
5. Sell–Deliver ContinuityRemain engaged post-sale to ensure:Smooth handoff to delivery teamsAlignment between proposal and executionProvide advisory support during early delivery phases Internal alignment: CEI emphasizes continuity from presales to delivery to reduce execution risk
Required QualificationsTechnical SkillsStrong background in:AI / Machine Learning / Generative AIData engineering or software developmentExperience with:Python, APIs, and modern development frameworksCloud 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, United States |
| Type | FULL TIME |
| Niche | tech |