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Designs, builds, and deploys production-grade Python AI systems, including RAG and agentic workflows, for enterprise clients. Responsibilities include architecture ownership, backend and API development, AWS deployment, system design decisions, client communication, presales support, technical documentation, mentoring, code reviews, testing, and production AI/ML model maintenance. The role requires embedded client delivery, direct stakeholder engagement, and end-to-end ownership from discovery through implementation.

Embed with customers to learn and redesign critical workflows, then build and ship production GenAI/LLM systems on AWS. Own evaluation, deployment, and operational reliability, collaborate with senior stakeholders, and drive measurable business outcomes using Provectus blueprints and agentic tooling.

Own full-cycle recruiting for FDE and FDX technical roles across the US, source passive AI/ML and software engineering talent, build talent communities and events, manage pipelines and offers, and partner on workforce planning and candidate experience.

Own partner-sourced and self-sourced enterprise sales motions: convert Anthropic/AWS partner leads to signed SOWs, prospect new logos in Financial Services and Life Sciences, run full sales cycles, maintain joint pipelines and co-sell activities, and coordinate with delivery and architecture teams to scope consulting engagements.

Own two revenue motions: convert Anthropic- and partner-sourced enterprise leads into signed SOWs and build a self-sourced enterprise pipeline in Financial Services and Life Sciences. Run full sales cycles, manage partner relationships, lead co-sell planning and co-marketing, and collaborate with delivery and architects to scope consulting engagements. Travel up to 40% for meetings, briefings, and events.