AI Engineer/ Anthropic Architect (FDE)

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.

Roles and 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


Required Experience:

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 have:

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

Why BIG?

Work on meaningful, high-impact AI projects for enterprise clients across Canada, the US, the UK, and India — at the frontier of what's possible with Claude

Join a Certified Great Place to Work with a people-first, collaborative culture that celebrates wins together

Access to 10+ cutting-edge technology practices and a culture of continuous learning and certification support

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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