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Senior, niche cross-cloud/data/agent-AI role at mid-tier analytics firm reduces applicant density.
Requires deep cloud, Databricks, PySpark and agent-AI expertise, limiting transferability across unrelated industries.
Explicit 10+ years, 4+ years leadership, and mandatory Azure/Databricks/PySpark/agent-AI experience make filters strict.
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Own the technical direction and architecture for enterprise agentic AI solutions across application, cloud, data, and AI layers.
Establish engineering standards, reusable deployment assets, and lead design reviews to raise team deployment capability.
Mentor Forward Deployed Engineers to independence, provide selective hands-on support to unblock the team, and manage client security and architecture review processes.
10+ years in software, platform, or applied AI engineering with at least 4 years leading engineering teams on production systems.
Strong experience in full-stack development: Python, JavaScript/TypeScript, SQL, NoSQL, CI/CD, and DevOps practices.
Hands-on architecture experience with Azure cloud, PySpark, Databricks, agent development frameworks, and production monitoring.
Proven mentoring capability to build engineering team independence and deployment maturity.
Experienced technical leader comfortable setting and owning multi-layer AI and cloud architectures in enterprise environments.
Able to translate high-level architecture into actionable increments and enforce coding, testing, and deployment standards through team mentorship.
Skilled at building reusable deployment assets to reduce dependence on individuals, with experience interacting confidently with client cloud and security teams.