• ship user-facing AI features across Automattic’s product ecosystem • collaborate with PMs, designers, and engineers in a fast-paced environment • experiment and scale successful AI innovations from prototype to production

• Embed directly with BIG's most strategic enterprise customers to design, build, and ship production AI applications powered by Claude • Deliver technical artifacts including MCP servers, sub-agents, agent skills, and evaluation frameworks used in real customer workflows • Lead rapid prototyping and proof-of-concept engagements that demonstrate tangible business impact from day one • Act as the primary technical contact on-site, coordinating across BIG delivery, sales, and Anthropic partner teams • Design scalable, enterprise-grade AI architectures leveraging Claude API, Claude Code, and Claude for Enterprise • Advise customers on agentic workflow design, multi-agent orchestration, RAG patterns, evaluation frameworks, and LLM deployment at scale • Translate complex customer requirements into architecture blueprints and technical roadmaps that align with business goals • Identify and mitigate technical risks early in engagements to set delivery teams up for success • Guide integration of Anthropic solutions with cloud hyperscalers (AWS, Azure, GCP) and enterprise data stacks • Partner with Account Executives throughout the sales lifecycle to develop winning technical strategies for Anthropic-powered solutions • Lead technical discovery workshops to uncover customer business objectives, current-state architecture, and AI readiness • Build and deliver compelling demos, prototypes, and POCs that showcase Claude's capabilities for specific customer use cases • Respond to RFPs, RFIs, and security questionnaires with clear, accurate, and persuasive technical content • Translate complex AI concepts into business value for both technical teams and executive stakeholders • Serve as an internal expert on the Anthropic Claude ecosystem — enabling the broader team through knowledge sharing and documentation • Contribute reusable demo assets, accelerators, architecture playbooks, and prompt engineering guides • Represent BIG at customer events, webinars, and Anthropic partner activities • Provide structured field feedback to Anthropic product and partner teams to help shape roadmap direction

• Research AI technologies for current and future products • Design, develop, test, deploy, and maintain demo and production software • Monitor and improve current ML processes • Develop software to quickly and effectively collect training data • Improve the iteration time between prototype to end-user testing • Convert prototype software projects into demos and production software

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an Applied AI Scientist on our Support Automation product team, you'll: - Bridge research and production, building AI models and agent systems that ship into real products. - Architect, evaluate, and optimize autonomous voice and digital agents powering 10M+ customer interactions per month across West Africa. - Build for the hardest edge cases: poor connectivity, low literacy, and languages with little training data. - Experiment with, evaluate, and integrate the latest voice and text models. - Own problems end-to-end, from problem discovery to running in production, working alongside product and engineering leaders who prioritize shipping real customer impact. If you're energized by ownership, thrive on deep technical challenges, and want to build infrastructure that serves millions in emerging markets, let's talk. Our stack (prior experience is a strong plus, but not required): - Backend: Python 3 (+ mypy) - API layer: GraphQL - Android frontend: Kotlin/Jetpack - iOS frontend: Swift/SwiftUI - Web frontend: TypeScript/React - Database: Postgres/CockroachDB - Infrastructure: GCP/Terraform - Orchestration: Kubernetes Qualifications - 5+ years of experience in AI/ML engineering - Strong Python and backend engineering skills - Solid foundation in statistics and ML theory - Proven hands-on experience building with LLMs (prompt engineering, RAG, embeddings, fine-tuning, agent orchestration etc.) - Track record taking ML models from prototype to production and care deeply about reliability, performance, and scalability. - Fluency with AI coding agents, with bonus points for deploying them as part of production systems Requirements - Research background in speech or LLMs - Proven Voice AI experience (ASR, TTS, latency optimization, real-time streaming, voice agents) - Experience building customer support or conversational AI systems - You follow the latest research in speech and LLMs, and know how to translate papers into production wins - Familiarity with low-resource language challenges - Fluent in English (bilingual in French is a big bonus!) Benefits - This is a fully remote role. Candidates must be based in one of our talent hub countries (US, Canada, UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso. - Wave provides a yearly $1,200 stipend to support coworking meetups with teammates. - Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year. - Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary up to $227,900, plus a generous equity package. - Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country). - 6 months of fully paid parental leave and subsidized fertility assistance. - Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays. - $10,000 annual charitable donation matching.