Senior AI Solutions Engineer, AI Enablement

The role

You will embed with business teams to identify and build AI solutions that improve workflows. You will design, prototype, and deploy reliable AI systems including agents, automation, and RAG.

What you will do

• Embed with business teams to map real workflows and identify pain points.
• Identify where AI can create meaningful business value.
• Determine the right technical approach such as agentic systems, RAG, or classical ML.
• Translate ambiguous business problems into technical plans.
• Prototype quickly to test ideas.
• Design and build reliable AI systems end-to-end.
• Engineer for real-world reliability including failure handling and guardrails.
• Build evaluations and observability from the start.
• Measure whether solutions improve workflows after launch.
• Work with business and technical leaders to align expectations.

Required qualifications

• 6+ years of software engineering experience.
• Significant recent experience building and shipping applied AI or LLM-powered systems in production.
• Experience designing, building, and deploying AI systems that interact with APIs, enterprise systems, data sources, or external tools.
• Strong Python skills.
• Deep experience with modern LLM application development including tool and function calling, orchestration, prompt and context engineering, structured outputs, RAG, model APIs, state management, and e
• Experience taking AI solutions end-to-end from ambiguity to deployment.
• Experience engineering AI systems for reliability including failure handling, human-in-the-loop controls, guardrails, permissions, monitoring, cost management, and latency management.
• Strong technical judgment on when to use an agent, RAG, classical ML, automation, or conventional software.
• Proven ability to work directly with non-technical stakeholders.
• Strong product and business judgment.
• Comfort operating in ambiguous, early-stage environments.

Nice to have

• Experience in a forward-deployed, embedded, solutions engineering, applied AI, or highly cross-functional engineering role.
• Experience building tool-using or agentic systems that plan and execute multi-step workflows.
• Experience with APIs, MCP, event-driven systems, enterprise SaaS integrations, and internal data systems.
• Experience building internal platforms, SDKs, reusable tooling, or shared components.
• Experience evaluating and observing LLM or agent systems using tools such as Datadog, LangSmith, or Langfuse.
• Experience designing multi-agent systems, planner/executor architectures, or specialized agents.
• Familiarity with workflow analysis and process mapping.
• Exposure to AI governance, security, privacy, and legal review processes.
• Experience in media, entertainment, streaming, consumer technology, or another environment with complex content and operational workflows.
• Familiarity with areas such as localization, marketing operations, content operations, customer support, rights management, or commerce.

Benefits

• Salary plus performance bonus earning potential, paid annually.
• Flexible time off policies.
• Generous medical, dental, vision, STD, LTD, and life insurance.
• Health Saving Account HSA program.
• Health care and dependent care FSA.
• 401(k) plan, with employer match.
• Employer paid commuter benefit.
• Support program for new parents.
• Pet insurance.

About the company

Crunchyroll delivers the art and culture of anime to a community of over 100 million fans across 200+ countries and territories. It is an independently operated joint venture between Sony Pictures Entertainment and Aniplex.