





Tier-2 brand, metro location, mid-level AI role with niche industry requirement.
Requires applied ML/LLM expertise plus Oil & Gas domain experience, limiting cross-industry transferability.
Explicit 5+ years, mandatory Oil & Gas experience, and concrete ML/LLM technical requirements.
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Work with strategic Oil & Gas customers to design, prototype, and implement AI and Process Intelligence solutions that deliver measurable ROI and operational transformation.
Lead end-to-end technical Proof-of-Value projects, including architecture and deployment of scalable AI systems integrated with enterprise data and compliance frameworks.
Specialize in domain knowledge (e.g., supply chain) to scale internal expertise and demonstrate value to Executive stakeholders while ensuring adoption and ongoing project success.
Minimum 5 years experience in technical pre-sales focused on AI solution roadmaps, ROI/TCO business cases, and prototyping of machine learning and generative AI applications.
Mandatory experience in the Oil & Gas industry.
Bachelor’s degree required; Master’s in computer science, engineering, mathematics, or related field preferred.
Proficiency in Python and ML libraries (e.g., LangChain, pandas, PyTorch) plus knowledge of generative AI techniques like RAG, prompt engineering, multi-agent orchestration.
Experienced in translating complex business challenges in Oil & Gas into innovative AI-driven solutions leveraging Process Intelligence technology.
Comfortable owning full project life cycle with direct engagement of executive stakeholders and hands-on involvement in prototype development and deployment.
Skilled in integrating AI systems securely and at scale with enterprise data architectures within regulated environments.