Senior AI Solutions Engineer

Duties And Responsibilities

• Partner with business stakeholders to identify opportunities where Generative AI can improve business processes and create measurable business value.
• Gather, analyze, and translate business requirements into scalable AI-enabled solutions.
• Design, develop, test, deploy, and support enterprise AI applications using approved development standards.
• Develop AI workflows and automations utilizing enterprise platforms.
• Develop integrations between AI solutions and enterprise applications using APIs and modern integration patterns.
• Build and optimize prompts, AI agents, and contextual workflows to improve accuracy, usability, and business outcomes.
• Leverage enterprise data platform to prepare, analyze, and integrate enterprise data into AI-enabled solutions.
• Monitor application performance, reliability, model effectiveness, and operational costs while continuously improving delivered solutions.
• Collaborate with Enterprise Architecture, Cybersecurity, Infrastructure, and Data teams to ensure solutions align with enterprise standards.
• Develop technical documentation, solution designs, operational procedures, and end-user documentation.
• Evaluate emerging AI technologies and recommend enhancements to the Enterprise AI platform and engineering practices.
• Provide ongoing production support, troubleshooting, and continuous improvement for deployed AI solutions.
• Promote responsible AI practices by ensuring solutions comply with security, privacy, governance, and compliance requirements.

Skills And Competencies

• Experience developing software using Python, SQL, Node/React JS, REST APIs, JSON, and Git.
• Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Agents, and Retrieval Augmented Generation (RAG).
• Experience with enterprise AI technologies including Open WebUI, LiteLLM, n8n, Databricks, Glean, or comparable platforms.
• Strong understanding of data engineering, data integration, and working with structured and unstructured data.
• Experience integrating AI capabilities with enterprise business applications and cloud services.
• Strong analytical, problem-solving, organizational, and communication skills.
• Ability to explain technical concepts to both technical and non-technical audiences.
• Ability to lead technical discussions and mentor junior engineers.
• Commitment to continuous learning in rapidly evolving AI technologies.

Required Qualifications

• A high school diploma (or GED).
• Minimum of eight (8) or more years of experience in software development, AI engineering, application development, data engineering, or a related technical discipline.
• Demonstrated experience developing scalable enterprise applications.
• Experience designing, deploying, and supporting production applications.
• Experience with Git, CI/CD pipelines, Docker, and modern software engineering practices.
• Demonstrated ability to lead technical solution delivery while partnering directly with business stakeholders.
• An acceptable pre-employment background and drug test.

Preferred Qualifications

• A Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Software Engineering, Data Science, or a related field.
• Experience with Open WebUI, LiteLLM, n8n, Glean, and Databricks.
• Experience developing Generative AI applications using OpenAI, Anthropic Claude, Google Gemini, or similar Gen AI Systems.
• Experience implementing AI Agents, vector databases, embeddings, and Model Context Protocol (MCP).
• Experience supporting enterprise AI governance and responsible AI initiatives.
• Experience in the Oil & Gas industry.