Hiring: Director Company: Evalueserve Location: Raleigh, NC Job Posted Time: 2026-09-16 10:56:50 Target Skills & Keywords : AWS, Azure, Digital Transformation, Feature Store, GCP, LangChain, Linear, Machine Learning, RAG About the job Experience: •20+ years in enterprise specialist sales, pre-sales, or solution consulting. Experience supporting complex, multi-stakeholder sales cycles, with a proven ability to identify and develop opportunities in customer accounts. •Solid understanding of AI/ML and Generative AI ecosystems, Agentic AI and automation concepts, data platforms and modern data architectures, and cloud environments (Azure, AWS, GCP). Ability to engage credibly with both technical teams and business stakeholders. Required Skills: •Identify and qualify Data & AI opportunities •Translate business needs into solutions •Support deal shaping and progression •Contribute to advancing opportunities through discovery sessions and workshops, use case validation, Proof of Concept / Proof of Value (PoC / PoV), and proposal preparation. Work with solution architects and delivery teams to ensure credible and scalable solutions and support sales leaders during negotiation and deal closure. •Position Data & AI in client conversations •Reporting to the Head of Data & AI, you will work closely with Sales leaders, Solution Architects, and consulting and delivery teams. Act as the link between customer needs and internal capabilities and provide field feedback to continuously improve positioning and offerings. •Strong discovery and qualification skills, ability to translate customer challenges into structured use cases, experience supporting PoC/PoV initiatives and progressing deals, and comfort working in collaborative sales environments. •Demonstrated capacity to explain complex topics in a clear and structured way, confidence engaging with both operational teams and executives, and strong presentation and storytelling skills. Qualifications: •Data platforms and architectures across Cloud and On premise ecosystems •AI/ML platform technologies and services such as Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, … •Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models •Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA, …) on one or more cloud platforms. SW Engineering and DevSecOps •Building PoCs to aid learning •Act as advisor to CDO, CDAO, CAI for each of your portfolio customers in Data and AI •Build and propose Non-Linear revenue models to customers •Lead and oversee RFP/ end to end proposals (Proactive and Reactive) to customers by working with cross functional teams •Define Proactive strategy / plan for each of your customers in the portfolio for Data and AI growth. •Achieve the targets / goals on quarterly basis consistently Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!