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Mid-tier employer, senior role but popular 'Software Engineer' title and AI focus create moderate applicant density.
Role demands enterprise consulting, AI governance, and stakeholder management, making background highly domain-sensitive.
Explicit 8-year minimum plus required consulting, AI governance, and ROI expertise increases filter strictness.
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Own end-to-end AI use case evaluation, shaping, and execution from discovery to POC readiness with measurable business outcomes.
Serve as the primary interface between business stakeholders and AI engineering teams to translate business needs into AI solution approaches.
Ensure AI solutions align with governance, data privacy, compliance, and drive enterprise AI adoption initiatives.
3–6 years in consulting, product, or solution roles related to AI or technology.
Bachelor’s or Master’s degree in Engineering, Technology, Business, or related field.
Strong understanding of AI fundamentals including LLMs, automation, data-driven solutions, and AI governance principles.
Experience working with requirement capture and planning tools such as JIRA.
Experienced in driving AI product or solution lifecycle, including feasibility assessment, business case modeling, and ROI estimation.
Skilled at working and influencing within large global or matrix organizations with effective stakeholder management.
Comfortable with enterprise AI tools like Copilot and advanced AI technologies involving LLMs and responsible AI governance.