AI Engineer/ Anthropic Architect (FDE)

Bits In Glass•Canada Remote, AB

1d•Hybrid

About The Position

Join a company that’s leading the way in AI and automation consulting. Our portfolio spans 10+ leading technologies across business applications, data, process, cloud, and AI. At Bits In Glass, you’ll do meaningful work with a supportive, driven team that loves to collaborate and celebrate wins together. Whether you’re coding, consulting, or bringing bold ideas to the table, you’ll tackle real business challenges, grow your skills, and make a BIG impact. Our growing team has earned global recognition as a Great Place to Work and received multiple industry partner awards—while keeping things fun and people-focused. If you’re looking to deepen your expertise and solve real-world problems, Bits In Glass could be the place for you. BIG is looking for a high-impact AI practitioner to join our rapidly growing Anthropic practice. This is a hybrid role that spans three critical functions — AI Engineering, Applied AI Architecture, and Forward Deployed Engineering — making it ideal for a versatile technologist who thrives at the intersection of deep technical delivery and enterprise customer engagement. You will serve as a technical SME on Anthropic's Claude ecosystem: designing enterprise AI architectures, embedding directly with strategic customers to ship production AI applications, and acting as a trusted pre-sales advisor helping organizations unlock the full potential of frontier AI. This role is for someone who moves fast, operates with high autonomy, and is energized by building real things that create measurable business value.

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

Nice To Haves

Hands-on experience with Anthropic's Claude API, Claude Code, MCP servers, or Claude for Enterprise
Familiarity with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines
Experience with evaluation and observability tooling for LLMs (LangSmith, Braintrust, Weights & Biases, MLflow)
Background in enterprise sales cycles, deal structuring, or professional services delivery
Anthropic, AWS, Azure, or GCP certifications relevant to AI/ML workloads
Degree in Computer Science, Applied Mathematics, Data Science, or a related quantitative field

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