Senior AI Solutions Engineer, AI Enablement
$183k - $229k • Los Angeles, California, United States • Full-time
Posted 3mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Crunchyroll is seeking a Senior AI Solutions Engineer to join the AI Enablement team. In this role, you will embed with various business teams across the company to understand their workflows and identify opportunities where AI and automation can create significant value. You will be responsible for taking AI solutions from initial concept through prototyping, production, and adoption, focusing on practical applications that improve speed, quality, cost, or employee experience. This position requires a blend of strong business acumen, consultative problem-solving, and hands-on engineering expertise to build reliable, scalable, and maintainable AI-powered systems.
Responsibilities
- Embed with business teams to understand workflows and identify AI/automation opportunities.
- Determine the appropriate technical approach for identified problems, including agents, generative AI, RAG, classical ML, or automation.
- Translate ambiguous business problems into clear technical plans, including architecture, data flows, and integration points.
- Prototype AI solutions quickly to validate concepts before full development.
- Design and build end-to-end AI systems, incorporating tool use, orchestration, prompt engineering, state management, and human-in-the-loop workflows.
- Engineer AI systems for real-world reliability, addressing failure modes, hallucinations, retries, and security constraints.
- Build evaluations and observability from the start to measure performance and impact.
- Define and measure expected business outcomes for AI solutions.
- Collaborate with business and technical leaders to align stakeholders and manage expectations.
- Stay close to users post-launch to iterate based on feedback and drive adoption.
- Create reusable components, patterns, and learnings to accelerate future AI solution development.
- Ensure solutions are scalable, secure, and maintainable in partnership with other engineering teams.
Requirements
- 6+ years of software engineering experience.
- Significant recent experience building and shipping applied AI or LLM-powered systems in production.
- Demonstrated experience designing, building, and deploying AI systems that interact with APIs, enterprise systems, or external tools.
- Strong Python skills and deep experience with modern LLM application development (tool calling, orchestration, prompt engineering, RAG, model APIs, state management, enterprise integrations).
- Experience taking AI solutions end-to-end, from problem statement to production and iteration.
- Experience engineering AI systems for reliability, including failure handling, human-in-the-loop controls, and monitoring.
- Strong technical judgment on selecting appropriate AI approaches (agents, RAG, ML, automation, conventional software).
- Proven ability to work with non-technical stakeholders and translate business needs into technical solutions.
- Strong product and business judgment to identify problems worth solving.
- Comfort operating in ambiguous environments.