System Software Engineer building communication and execution primitives for large - scale AI clusters. Optimizing distributed training and inference across thousands of GPUs.
About the role
- AI Engineer/Anthropic Architect role at Bits In Glass, designing and shipping production AI applications powered by Claude. Attracting clients through technical expertise and collaboration.
Responsibilities
- 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
Requirements
- 5+ years in software engineering, technical consulting, solutions architecture, or a customer-facing AI role
- 2+ years of hands-on experience building production applications with LLMs — specifically Claude, GPT-4, or equivalent enterprise models
- Demonstrated experience with advanced prompt engineering, agent development, evaluation frameworks, and LLM deployment at scale
- Strong Python skills; proficiency in TypeScript, Java, or another secondary language is a plus
- Experience building or designing agentic systems using frameworks such as LangGraph, LangChain, CrewAI, or DSPy
- Working knowledge of at least one cloud platform: AWS, Azure, or GCP
- Proven ability to conduct technical discovery with enterprise customers and translate requirements into architecture decisions
- Strong written and verbal communication skills — you can make complex AI topics clear and compelling to both engineers and executives
- High agency, comfort with ambiguity, and ability to operate autonomously in customer environments
Benefits
- Competitive compensation, benefits, and equity-aligned incentives
- Flexible, remote-friendly work environment with a team that moves fast and builds real things
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