AI Solutions Lead - Oracle Agent Studio

Gapblue Software Labs; Ernakulam; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Gapblue Software Labs seeks a senior solution architect to own end-to-end Oracle Fusion AI Agent Studio implementations from discovery to go-live. You will lead architecture decisions on agent design, tool structuring, and LLM prompt strategy, coordinating multiple Oracle resources and integrating REST APIs across ORDS, BIP, and OIC.

The role requires deep techno-functional Oracle Fusion experience, hands-on Agent Studio configuration, and proven ability to run client workshops and deliver

Qualifications

• 8–12 years of Oracle Fusion implementation experience with a techno-functional profile.
• Experience leading Oracle AI Agent Studio or AI Agents project delivery end-to-end.
• Strong understanding of at least two Oracle Fusion domains (Procurement, Finance, HCM).
• Hands-on capability with Agent Studio configuration — tool definitions, flow logic, prompt design.

Responsibilities

• Own end-to-end solution delivery for Oracle AI Agent Studio implementations from discovery through go-live.
• Lead architecture decisions: agent design, tool structuring, LLM prompt strategy, orchestration flow.
• Run client workshops, solution blueprinting sessions, and stakeholder presentations independently.
• Design agent tool definitions, system prompts, and example-driven prompt frameworks for production-grade accuracy.
• Coordinate and direct functional consultants, Oracle technical resources, and integration developers.
• Define integration patterns across Oracle Fusion REST APIs, ORDS, BIP, and OIC for agent solutions.
• Identify scope boundaries, configuration-vs-customisation risks, and escalation triggers early.
• Drive quality — review agent behaviour, test scenarios, UAT sign-off, and production readiness.
• Build reusable solution patterns and internal knowledge assets for the AI practice.
• Mentor junior team members and guide cross-functional borrowed resources effectively.

Skills

Oracle Fusion

AI Agents

Agent Studio

REST APIs

ORDS

BIP

OIC

LLM

Client engagements

Leadership

Education

Bachelor's degree in Computer Science or related

Tools

Azure OpenAI

OCI GenAI

Oracle Fusion REST APIs

Job description

Role & responsibilities

• Own end-to-end solution delivery for Oracle AI Agent Studio implementations from discovery through go-live
• Lead architecture decisions: agent design, tool structuring, LLM prompt strategy, orchestration flow
• Run client workshops, solution blueprinting sessions, and stakeholder presentations independently
• – Design agent tool definitions, system prompts, and example-driven prompt frameworks for production-grade accuracy
• – Coordinate and direct functional consultants, Oracle technical resources, and integration developers
• – Define integration patterns across Oracle Fusion REST APIs, ORDS, BIP, and OIC for agent solutions
• – Identify scope boundaries, configuration-vs-customisation risks, and escalation triggers early
• – Drive quality — review agent behaviour, test scenarios, UAT sign-off, and production readiness
• – Build reusable solution patterns and internal knowledge assets for the AI practice
• – Mentor junior team members and guide cross-functional borrowed resources effectively

Preferred candidate profile

• – 8–12 years of Oracle Fusion implementation experience with a strong techno-functional profile
• – Demonstrated experience leading Oracle AI Agent Studio or AI Agents project delivery end-to-end
• – Strong functional understanding of at least two Oracle Fusion domains (Procurement, Finance, HCM)
• – Hands‑on capability with Agent Studio configuration — tool definitions, flow logic, prompt design
• – Working knowledge of Oracle Fusion REST APIs, ORDS, BIP, and OIC integration patterns
• – Strong LLM/AI awareness — prompt engineering principles, tool-use patterns, retrieval, hallucination controls
• – Proven ability to run client engagements independently with minimal supervision
• – Excellent written and verbal communication — can produce clean solution documents and present to leadership
• – Experience with Azure OpenAI, OCI GenAI, or BYO LLM configurations within Oracle platforms
• – Knowledge of Oracle ATP, PL/SQL, or ORDS for hands‑on technical validation
• – Prior experience in a configuration-only delivery model (no custom code)
• – Exposure to autonomous sourcing, negotiation, or AP automation use cases in Oracle
• – Oracle Cloud certification or AI/ML related certification