Description

Own end-to-end AI solution architecture from concept through production for enterprise initiatives.

Responsibilities

• Design and implement GenAI solutions using GCP and Gemini, covering model selection, prompt design, orchestration, and governance.
• Integrate AI capabilities into Oracle platforms (Fusion, ERP) and Salesforce ecosystems (Sales, Service, Data Cloud, APIs).
• Define scalable architectures for data ingestion, enrichment, model inference, security, and observability.
• Drive AI solution delivery independently, making architectural decisions and managing ambiguity with minimal oversight.
• Ensure Responsible AI practices including explainability, data privacy, and access control while supporting POCs and production rollouts.

Required Skills

• 8+ years of overall technology experience with 3–5+ years in AI/ML or GenAI architecture.
• Proven experience designing AI solutions on Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Functions, and IAM.
• Hands-on experience with Gemini models and GenAI workflows: RAG, agents, embeddings, and prompt engineering.
• Strong integration experience with Oracle (Fusion, ERP, databases) and Salesforce (Sales/Service Cloud, APIs, Data Cloud).
• Ability to work independently, clarify requirements with stakeholders, and document architecture decisions clearly.
• Strong working knowledge of JIRA, Confluence, and Agile/Scrum delivery practices.
• Experience with data pipelines, API-driven integration patterns, and security/compliance in enterprise AI environments.

Preferred Skills

• Experience in engineering, construction, geospatial, or industrial technology domains.
• Prior experience building agentic workflows or autonomous AI agents.
• Experience with Salesforce Einstein or MuleSoft.

Key Skills

Education

Bachelor's degree