[Remote] Sr. Delivery Acceleration AI Engineer
Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking a Senior Delivery Acceleration AI Engineer to enhance their enterprise software solutions. The role involves leveraging AI and machine learning to build production systems, while ensuring effective delivery operations and communication with stakeholders.
Responsibilities
- 5+ years of experience in software engineering, AI/ML engineering, or technical consulting in enterprise software environments
- 2+ years of hands-on experience with large language models, prompt engineering, and AI agent development—not just using AI tools, but building production systems on top of them
- Demonstrated expertise in prompt engineering techniques: chain-of-thought reasoning, structured output generation, few-shot/zero-shot patterns, context window management, and systematic prompt evaluation
- Strong understanding of professional services delivery operations: how engagements are scoped, sold, estimated, staffed, and delivered
- Experience with API design, system integration, and building data pipelines that connect AI outputs to enterprise workflows
- Proficiency in Python, JavaScript/TypeScript, or similar languages used in AI agent development and automation
- Understanding of ServiceNow platform architecture, data models, and configuration patterns
- Excellent communication skills—ability to translate technical AI capabilities into business impact for non-technical stakeholders
- Experience working in agile, sprint-based environments with measurable delivery outcomes
Skills
- 5+ years of experience in software engineering, AI/ML engineering, or technical consulting in enterprise software environments
- 2+ years of hands-on experience with large language models, prompt engineering, and AI agent development—not just using AI tools, but building production systems on top of them
- Demonstrated expertise in prompt engineering techniques: chain-of-thought reasoning, structured output generation, few-shot/zero-shot patterns, context window management, and systematic prompt evaluation
- Strong understanding of professional services delivery operations: how engagements are scoped, sold, estimated, staffed, and delivered
- Experience with API design, system integration, and building data pipelines that connect AI outputs to enterprise workflows
- Proficiency in Python, JavaScript/TypeScript, or similar languages used in AI agent development and automation
- Understanding of ServiceNow platform architecture, data models, and configuration patterns
- Excellent communication skills—ability to translate technical AI capabilities into business impact for non-technical stakeholders
- Experience working in agile, sprint-based environments with measurable delivery outcomes
Benefits
- Benefits
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