We are looking for a hands-on, entrepreneurial architect with a strong strategic mindset to drive the shaping and delivery of generative AI and agentic AI projects. This role combines technical prototyping, client engagement, and executive-level communication ideal for someone who thrives in dynamic environments, excels at rapid prototyping with LLMs and foundation models, and knows how to convey complex AI solutions to both technical and business stakeholders, including C-level executives
Your Role
1. Client Engagement &Leadership
2. Lead customer conversations from a technical perspective needs analysis, architecture proposals, and feasibility assessments.
3. Build trust and credibility with enterprise clients through hands-on demonstrations, PoCs, and technical deep dives.
4. Present and articulate AI solution strategies to C-level stakeholders, translating complex technology into business impact.
5. Own the technical presales process for enterprise-grade generative and agentic AI projects.
6. Partner with sales and leadership teams to define AI-centric value propositions and identify viable use cases
7. Rapid Prototyping &Demo Creation
8. Design and build high-impact prototypes using LLMs, agentic AI architectures, and foundation models
9. Use vibe coding techniques for quick iteration, live demos, and real-time experimentation.
10. Collaborate with cross-functional teams to productize successful prototypes and scale reusable assets.
11. Technical Consulting &Enablement
12. Act as a technical advisor across key strategic accounts, guiding clients through the AI adoption journey.
13. Provide architectural guidance on integrating generative AI solutions into existing enterprise systems.
14. Support knowledge transfer and internal enablement for AI adoption and experimentation across teams.
What Were Looking For
15. Proven experience in technical consulting, architecture or presales roles, preferably in AI, ML, or software innovation.
16. Strong hands-on skills with LLMs, foundation models, and agentic AI frameworks.
17. Expertise in rapid prototyping / vibe coding (e.g., Jupyter, LangChain, AutoGen, custom agents).
18. Confidence and clarity in presenting AI strategies and technical roadmaps to C-level executives.
19. Ability to bridge technical execution with business objectives and strategic outcomes.
20. Strong communication skills and stakeholder management experience across technical and non-technical audiences.
21. Experience collaborating with enterprise clients and driving AI adoption from ideation to implementation.
Severely disabled applicants with equal qualification will be given particular consideration.