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Tier-1 employer and AI specialization increase applicant competition despite senior, niche role.
Highly domain-specific agentic AI and LLM expertise limits straightforward cross-industry transferability.
Mandatory 10+ years, required customer-facing delivery experience, and specific AI technical skills enforce strict filters.
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Design, build, and deploy AI agent solutions within enterprise customer environments, owning components end-to-end from architecture to production.
Develop data pipelines and model data integrations using platforms like Salesforce Data 360, Snowflake, and Databricks, ensuring delivery of validated outputs and performance tracking via dashboards.
Collaborate closely with Deployment Strategists and customers to translate business challenges into deployable AI solutions, providing real-time feedback to product teams and supporting customer enablement.
10+ years of software engineering or technical delivery experience with at least one production system demonstration, ideally with AI, full-stack development, or frontier models.
Degree in Computer Science or related field.
Mandatory customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering).
Proficiency in at least one programming language: Python, JavaScript/TypeScript, Java, or Apex; strong hands-on experience with LLMs and prompt engineering.
Experienced in building and shipping production AI solutions with a builder mindset and deep understanding of data modeling, APIs, and integration patterns.
Comfortable working directly with customers and sales teams, translating complex AI technologies into business solutions and able to travel ~25% for onsite collaboration.
Proactively engages with evolving AI/data technologies, experimenting with new tools and frameworks, contributing practical insights back to product and engineering teams.