AI Presales Architect

We are looking for an AI Presales Architect who combines broad technology expertise with the ability to envision and articulate AI-driven solutions for customer business challenges. This role sits at the intersection of applications integrations and AI innovationhelping customers reimagine their business processes through GenAI intelligent agents document AI conversational AI and data-driven a deep AI research role this is a customer-facing solution-oriented position requiring strong presales skills demo storytelling and the ability to design conceptual AI architectures integrated with enterprise applications.

Core Competencies & Skills

• Presales & Storytelling: Excellent communication and executive engagement skills; ability to simplify AI concepts for CxOs.
• Technology Breadth: Strong background in applications and integrations (OIC SaaS extensions REST APIs microservices containers).
• 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

• 12 years of IT/solution architecture experience with at least 6 years in applications/integrations.
• 35 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

• Bachelors or Masters 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 Oracles broader AI ecosystem and enterprise integration patterns is a plus.

Evaluation Criteria:

- Usecase presentations will be required to evaluate the candidates ability to translate business problems into actionable insights and solutions.

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 Oracles 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.
• Apply knowledge of vector DBs RAG pipelines and agent frameworks to architect business-ready AI solutions.
• 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.

Career Level - IC3