What are the responsibilities and job description for the IT Presales – AI & Data Engineering Specialist position at InfoVision Inc.?
Job Description: IT Presales – AI & Data Engineering Specialist
Location: Onsite – U.S. (Dallas, TX / NJ preferred)
Fulltime
Role Overview
We are seeking a dynamic IT Presales professional with deep expertise in AI, Data Engineering, and Cloud technologies to lead solutioning and proposal development for enterprise clients. This role demands someone who lives and breathes AI and Data, with the ability to translate complex business challenges into innovative, scalable solutions.
The ideal candidate will combine strong technical credibility in Data Platforms, AI/ML, and Analytics with exceptional presales skills, including crafting proposals, responding to RFPs/RFIs, and engaging with senior client stakeholders.
Key Responsibilities
Solutioning & Proposal Development
- Own end-to-end presales activities including RFP/RFI responses, proposals, and solution presentations.
- Design and articulate solutions leveraging Data Engineering, AI/ML, Cloud platforms (AWS, Azure, GCP), and modern analytics frameworks.
- Develop pricing models and effort estimations for T&M, SOW, and Managed Services engagements.
- Ensure proposals meet compliance standards and align with client objectives.
Client Engagement & Strategic Positioning
- Partner with Sales and Account teams to understand client needs and position AI/Data-driven solutions.
- Conduct client workshops and solution walkthroughs to demonstrate technical depth and business value.
- Build trusted relationships with client stakeholders, influencing decision-making at senior levels.
Innovation & Practice Enablement
- Collaborate with AI/ML and Data Practices to incorporate emerging technologies into proposals.
- Contribute to reusable assets such as accelerators, PoCs, and case studies to strengthen InfoVision’s positioning.
- Drive thought leadership in AI and Data Engineering within presales and client engagements.
Qualifications & Experience
- 10–12 years of IT services experience, with at least 5 years in presales or solutioning roles.
- Proven expertise in Data Engineering (ETL, Data Warehousing, Cloud Data Platforms) and AI/ML solutioning.
- Strong understanding of IT delivery models (onsite/offshore/nearshore) and engagement types (T&M, SOW, Managed Services).
- Familiarity with modern data architectures, Cloud migration strategies, and AI/ML adoption frameworks.
- Excellent communication, presentation, and stakeholder management skills.
- Telecom domain experience preferred.
Preferred Skills
- Ability to influence CXO-level stakeholders and articulate AI/Data-driven business value.
- Experience working on large-scale RFPs for Fortune 500 clients.
- MBA or advanced degree is a plus.