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Tier-1 brand, mid-level (5+ yrs) and likely metro location increase applicant density significantly.
Core agentic-AI and production ML skills are transferable, but regulated-industry and MCP-specific experience raise specificity.
Multiple mandatory filters: 5+ years, 3+ years ML, production agent experience, and strong Python/SDK skills.
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Lead solutioning and adoption of client-facing AI products by defining/configuring optimal solutions aligned with client needs.
Design and build production-grade AI agents and multi-agent architectures integrated with enterprise systems in regulated environments.
Collaborate directly with sales and line-of-business engineering teams to ship production agents, develop reusable SDKs/playbooks, and influence product roadmaps through client feedback.
5+ years of experience including problem-solving across multiple teams and product clusters.
5+ years of software engineering experience with at least 3 years focused on AI/ML systems, GenAI application development, or production agent architectures.
Strong Python programming skills with experience in async patterns, SDK extension, and framework-level engineering.
Experience working in sales cycles and engaging clients regularly; prior experience in complex, matrixed organizations.
Technically skilled engineer with deep expertise in AI agent architecture, orchestration, and production system integration within regulated enterprise environments.
Experienced in collaborating closely with sales and business teams to align technical solutions with client and business needs.
Able to navigate complex governance and compliance constraints, translating requirements into engineering solutions while maintaining technical depth.