Ai Presales Architect
4 days ago
Core Competencies & Skills
- Presales & Storytelling: Excellent communication and executive engagement skills; ability to simplify AI concepts for CxOs.
- AI Enablement: Familiarity with GenAI, LLMs, intelligent agents, conversational AI, and document AI.
- Demo Innovation: Hands-on capability with Python, OCI AI services, and frameworks like HuggingFace, LangChain, PyTorch for creating impactful demos.
- Enterprise Architecture: Ability to design hybrid/multi-cloud AI architectures with scalability, security, and compliance in mind.
- Collaboration: Proven ability to work across sales, consulting, and product engineering teams in highly distributed environments.
Qualifications & Experience
- 3-5 years of AI presales/solutioning exposure, with practical experience in demos, POCs, or customer workshops.
- Expertise in designing SaaS extensions and integrations (Fusion Apps + third-party systems).
- Familiarity with Oracle Cloud Infrastructure (OCI), SaaS AI extensions, and multi-cloud ecosystems.
- Strong background in microservices, containerization (Docker/Kubernetes), and serverless functions.
- Excellent written and verbal communication skills, with experience influencing both technical and business leaders.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Experience contributing to AI community initiatives, publishing whitepapers, or speaking at tech events.
Familiarity with Oracle's broader AI ecosystem and enterprise integration patterns is a plus.
Evaluation Criteria:
What We Offer
- A strategic role in shaping enterprise-scale AI solutions using GenAI and next-gen architecture.
- Opportunity to work with senior experts and global teams on high-impact initiatives.
- Culture of innovation, collaboration, and continuous learning.
- Exposure to global delivery teams.
Key Responsibilities
Customer Engagement & Presales
- Lead customer workshops, demos, and RFP solutioning, translating business pain points into AI-enabled use cases.
- Articulate Oracle’s AI Data Platform, OCI AI services, and Fusion AI extensions to business and IT stakeholders.
- Deliver compelling AI demo assets (e.g., NL2SQL agents, invoice/document AI, vision-based use cases, AI-powered digital assistants).
Solution Architecture & Design
- Design AI-infused enterprise architectures integrating with Oracle SaaS, on-prem, and third-party systems.
- Propose AI-enabled extensions and integrations using OIC, ORDS, REST APIs, serverless, microservices, and containerized platforms.
- Provide design decisions, estimates, and staffing/schedule inputs for customer pursuits.
Technical Thought Leadership
- Contribute to AI/Integration best practices through blogs, whitepapers, and reusable presales assets.
- Actively participate in Oracle technology forums and represent the AI portfolio in external events.
- Mentor junior solution engineers in AI presales methodologies and demo storytelling.
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