Senior Forward Deployed Engineer (AI Enablement)

About the role

Reddit is hiring a Senior Forward Deployed Engineer focused on AI enablement, working remotely in the United States. You will turn AI capabilities into practical solutions that improve how Reddit works across business and technical functions such as Sales, Marketing, Business Development and Finance. You will identify valuable business problems and own the engineering from discovery through production launch and adoption, with measurable impact on quality, speed, capacity and cost.

Key responsibilities

• Build AI applications, agents, skills, connectors and workflow automations that solve business problems.
• Translate ambiguous business problems into AI-native workflows and technical delivery plans.
• Work closely with internal functions, embedding where needed to understand their work and build trust with AI champions and subject matter experts.
• Understand function goals, jobs to be done, current workflows, systems, data and measures of success.
• Prototype within days and productionize priority workflows within weeks when feasible.
• Integrate approved data, tools, APIs and actions into safe end-to-end workflows.
• Define evals, review gates, human-in-the-loop controls, observability and evidence.
• Launch trusted production workflows with governance, support, reversibility and named owners.
• Transfer maintainable workflows to function owners and reduce long-term dependency on the team.
• Return repeated needs, blockers and infrastructure requirements to the AI Platform Hub.
• Turn local wins into reusable agents, skills, templates, connectors, playbooks and platform patterns.

Required profile

• 5+ years building software, including AI applications, agents, automations or internal tools.
• Strong engineering fundamentals and production judgment; able to turn ambiguous business needs into solutions.
• Clear technical and non-technical communication; explains tradeoffs and incorporates feedback.

Required skills

• Hands-on agent development and deployment, including tool/API use, orchestration, state and failure handling.
• Enterprise integrations using MCP or comparable tool integration patterns.
• Experience with LLM retrieval and structured outputs.
• Reliable AI operations: cloud deployment, access controls, observability, evals, failure analysis and improvement.

What we offer

• Base salary range of $180,200-$252,300 USD, with eligibility for equity (restricted stock units) and possibly a commission.
• Healthcare benefits, 401k matching, and workspace benefits for a home office.
• Personal and professional development funds, family planning support, and flexible vacation.
• Paid volunteer time off and 4+ months of paid parental leave.