Back
Tier-1 brand, mid-level generalist title, and AI/software focus increase applicant competition.
Requires enterprise AI governance and regulated-environment experience, limiting easy cross-industry transfer.
Explicit 5+ years plus mandatory AI, security, cloud, and regulated-environment skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Partner with internal teams to identify and prioritize AI-enabled workflow opportunities with measurable outcomes.
Build secure, scalable AI prototypes and define operational readiness including monitoring and lifecycle management.
Drive adoption and governance of AI-assisted software engineering practices across teams with measurable KPIs like cycle-time reduction and quality improvements.
5+ years applied experience in software engineering, AI engineering, or related technical consulting roles.
Hands-on experience with at least one modern programming language such as Java, Python, or TypeScript.
Practical knowledge of generative AI concepts including large language models, prompt design, evaluation, and guardrails.
Formal training or certification in software engineering, computer science, AI, data engineering, or equivalent practical experience.
Proven ability to translate ambiguous business workflows into technical designs and lead their delivery with cross-functional teams.
Experience working within complex, regulated enterprise or large-scale environments, especially on AI or automation initiatives.
Strong expertise in secure software development and responsible AI use, capable of coaching senior engineers on compliant usage and governance.