AI Engineer – Anthropic Architect

Bits In Glass

AI Engineer developing production AI applications powered by Claude for enterprise clients. Engaging with customers and delivering measurable business impact through innovative AI solutions.

Posted 6/14/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Competitive compensation
Benefits
Equity-aligned incentives
Flexible, remote-friendly work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringtechnical consultingsolutions architectureproduction applicationsLLMsprompt engineeringagent developmentevaluation frameworksPythonTypeScript

Soft Skills

strong written communicationstrong verbal communicationability to translate complex topicshigh agencycomfort with ambiguityautonomous operationcustomer engagementtechnical discoverycollaborationknowledge sharing