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Strong Tier-1 brand, metro locations, and broad AI engineering demand increase applicant competition.
Highly domain-specific AI deployment and customer-facing delivery reduces cross-industry transferability.
Explicit 10+ years, mandatory customer-facing delivery, and production ML requirements make filters highly strict.
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Design, build, and deploy AI agent solutions for enterprise customers in production environments, ensuring measurable business impact.
Own end-to-end technical components including architecture, deployment, validation, and monitoring of AI agents and data pipelines.
Collaborate closely with Deployment Strategist and team to translate customer challenges into agentic AI solutions and provide product feedback based on real-world deployments.
10+ years of software engineering or technical delivery experience with at least one production system demonstrated.
Degree in Computer Science or a related field.
Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) mandatory.
Proficiency in at least one programming language: Python, JavaScript/TypeScript, Java, or Apex; experience with LLMs and prompt engineering; understanding of data modeling, APIs, and integration patterns.
Experienced in AI tech stack or full-stack development with hands-on LLM and prompt engineering expertise.
Comfortable engaging directly with customers and sales teams to deliver technical solutions and drive adoption.
Operates with a builder mindset focused on shipping real code and solutions, continuously experimenting with emerging AI tools and contributing practical field insights to product teams.