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Tier-1 employer, mid-level generalist title, metro location and popular GenAI skills create high competition.
GenAI, Python and cloud skills are transferable but lead-level ML experience requires domain-focused background.
Requires 5+ years plus specific GenAI, Python, cloud and observability skills so moderately strict.
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Lead complex, companywide technology initiatives impacting large-scale engineering solutions.
Develop and enforce engineering standards and best practices across the organization.
Collaborate with senior technical teams and external experts to resolve complex technical challenges and lead projects or teams.
Minimum 5 years of software engineering experience or equivalent via work, training, military, or education.
Mandatory skills: Python, GenAI, SQL.
Experience with AI frameworks, ETL pipelines, DevOps tools (Splunk, Grafana, CI/CD), and cloud (GCP) preferred but not mandatory.
Not explicitly mentioned: formal degree requirements, notice period, or onsite location constraints.
Proven leader capable of driving companywide engineering standards and initiatives.
Experienced in AI/GenAI frameworks and cloud-based software engineering with operational focus on reliability, security, and scalability.
Skilled at collaborating with senior stakeholders and managing teams to deliver complex technical projects.