AI Engineer – Anthropic Architect

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Bits In Glass

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private equity on 2024-03

B2B • Enterprise • Artificial Intelligence

Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.

📋 Description

• 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 • Equity-aligned incentives • Flexible, remote-friendly work environment