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 : 

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•       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