Forward Deployed Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployed Software Engineer (AI): Embed with client engineering teams to transform software building practices with an accent on AI native workflows, Claude Code integration, and agentic tooling. Focus on designing operating models, co-engineering production changes, and navigating enterprise complexity to deliver scalable AI-driven development.
Location: London; lead engagements with UK organisations
Company
Anthropic’s first European launch partner deploying production AI systems into complex Financial Services, Energy, and Healthcare organisations.
What you will do
- Lead engagements from discovery to operational handover, transforming enterprise engineering organisations.
- Design and implement AI native workflows including Claude Code, agentic assistants, AI testing, code review, and CI/CD pipelines.
- Define and roll out operating models for AI engineering covering tooling, processes, and team structures.
- Co-engineer with client teams to integrate new practices into codebases and delivery cadences.
- Own senior technical relationships and navigate organisational challenges while identifying new opportunities.
- Mentor engineers and codify scalable playbooks for AI transformations.
Requirements
- 5+ years as software engineer with production experience building and shipping real systems
- Deep passion for AI transforming software engineering; daily use of Claude Code, Copilot, or agentic tools
- Experience in client-facing technical roles like forward deployed engineering or solutions architecture
- Strong proficiency in Python, TypeScript, or Java; comfort with AWS, Azure, GCP
- Experience driving engineering process changes at scale in enterprises
- Vertical depth in Financial Services, Energy, or Healthcare
- High agency and commercial awareness
Nice to have
- Experience with MCP server development, Claude Code deployment, or AI agent integration
- Track record defining engineering best practices in scaling organisations
- External presence in software engineering or AI tooling
- Experience with Anthropic, Databricks, or AWS ecosystems
Culture & Benefits
- Access to leading AI labs, early previews, and joint work with Anthropic teams
- Investment in learning: Anthropic training, flexible L&D budget, Claude licenses
- Hands-on building in high-stakes environments with real impact
- Varied, complex engagements testing all engineering dimensions
- Support for relentless curiosity and career growth
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