4 months ago
Responsibilities
- Lead technical sales conversations, uncover client needs, address technical objections, and support enterprise deal closure.
- Architect end-to-end data pipelines and human-in-the-loop workflows for AI model-training use cases.
- Own technical responses for RFPs, RFIs, and security questionnaires.
- Create pitch decks, architectural diagrams, case studies, and detailed technical proposals.
- Research frontier AI capabilities and translate industry trends into new business offerings.
- Build and oversee proof-of-concept programs to validate new capabilities with clients.
- Ensure accurate transitions from sales commitments to project delivery teams.
- Represent customer needs and technical roadblocks to Product and Engineering teams.
Requirements
- 5+ years of direct experience in AI/ML solutions architecture, pre-sales engineering, or a highly technical client-facing role.
- Proven record of selling and scoping complex AI or data operations solutions.
- Deep practical understanding of LLMs, Generative AI, Computer Vision, and RLHF.
- Ability to engage credibly with PhD-level AI researchers and engineering leaders.
- Strong commercial acumen and ability to connect technical features to business outcomes and revenue.
- Excellent whiteboarding, technical writing, RFP response, and presentation skills.
- Builder’s mindset with interest in creating new capabilities from scratch.
Categories
Solutions Engineering
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).