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Strong employer brand, metro location, and mid-level experience increase competition, while Oracle GenAI specialization narrows the candidate pool.
Role requires Oracle OCI, Oracle AI Agent Studio, LLM and prompt engineering expertise, making cross-industry transfers difficult.
Explicit 4+ years, mandatory AI/OCI/LLM, prompt-engineering and containerization skills create strict shortlisting filters.
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Architect and deploy advanced AI/Gen AI solutions on Oracle Cloud Infrastructure for strategic clients across sectors such as financial services, telecom, and healthcare.
Collaborate with customers to understand requirements, design, implement, and operationalize scalable AI/ML solutions, including agentic workflows with prompt engineering.
Mentor junior AI engineers and influence technical direction in AI/ML solution deployment using Oracle technologies and OCI services.
4+ years of architect-level experience in AI/ML with at least 1-2 production implementation deployments.
Proven experience designing, building, and deploying scalable AI/ML solutions on Oracle Cloud Infrastructure (OCI), including Functions, OKE, and storage services.
Strong skills in prompt engineering, Large Language Models (LLMs), Generative AI, agentic solutions, SQL, REST APIs, containerized development (Docker/Kubernetes).
Bachelor’s or Master’s degree in Computer Science, engineering, math or equivalent.
Experienced AI/ML architect capable of independently leading end-to-end design and deployment of complex AI solutions in enterprise environments.
Deep expertise in Gen AI technologies, including prompt engineering and LLM APIs, with a strategic mindset for operationalizing AI at scale on cloud platforms.
Comfortable working collaboratively with client teams and mentoring junior engineers while steering technical standards in Oracle AI ecosystems.