Company
Technology
AIEngineer/AnthropicArchitect(FDE)
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Engineer/ Anthropic Architect (FDE). Skills: AI applications, LLM systems, Agentic workflows, RAG systems. Design production AI applications. Build production AI applications”
What You'll Achieve.
Demonstrate clear business value; Demonstrate technical feasibility
Industry & Context.
Identify technical risks
What They're Looking For.
Must Have
5+ years software engineering, 5+ years solutions architecture, 5+ years technical consulting, 5+ years customer-facing AI roles, 2+ years building LLM applications, Python programming skills, Solid understanding of cloud platforms, Experience with prompt engineering, Experience with LLM evaluation, Experience with LLM observability, Experience with scalable AI deployment, Lead technical discovery sessions, Translate business requirements into architecture decisions
Nice to Have
TypeScript experience a plus, Java experience a plus, Experience with vector databases, Experience with RAG pipelines, Experience with MCP servers, Experience with Claude ecosystem tools, Enterprise AI certifications
What You'll Do.
Design production AI applications
Build production AI applications
Deploy production AI applications
Lead architecture implementation
Lead implementation of scalable AI solutions
Deliver rapid prototypes
Deliver proof-of-concept solutions
Act as technical point of contact
Coordinate internal delivery teams
Coordinate sales teams
Coordinate partner teams
Design enterprise-grade AI architectures
Design integration patterns
Conduct technical discovery workshops
Define customer requirements
Translate needs into architecture roadmaps
Respond to security reviews
Provide guidance on LLM evaluation
Provide guidance on prompt engineering
Provide guidance on observability
Provide guidance on production deployment
Identify technical risks
Ensure scalable delivery
Ensure reliable delivery
Act as internal subject matter expert
Share knowledge on Claude
Share knowledge on generative AI
Build reusable accelerators
Build reusable assets
Collaborate with Account Executives
Shape technical strategy
Support pre-sales activities
Support solution design activities
Contribute feedback to product teams
Contribute feedback to partner teams
How You'll Work.
Team & Collaboration
Customer engagements; Internal delivery teams; Sales teams; Partner teams; Account Executives; Product teams; Partner teams
Communication Scope
Explain complex AI concepts
Full Job Description
## Accountabilities Embed directly with enterprise customers to design, build, and deploy production AI applications powered by Claude and other LLM systems. Lead the architecture and implementation of scalable AI solutions, including agentic workflows, RAG systems, MCP servers, and multi-agent frameworks. Deliver rapid prototypes, demos, and proof-of-concept solutions that demonstrate clear business value and technical feasibility. Act as the primary technical point of contact across customer engagements, coordinating with internal delivery, sales, and partner teams. Design enterprise-grade AI architectures and integration patterns across cloud platforms (AWS, Azure, GCP) and enterprise data ecosystems. Conduct technical discovery workshops to define customer requirements, assess AI readiness, and translate needs into architecture roadmaps. Respond to RFPs, RFIs, and security reviews with clear and compelling technical documentation. Provide guidance on LLM evaluation, prompt engineering, observability, and production deployment best practices. Identify technical risks early and ensure scalable, reliable delivery of AI solutions in production environments. Act as an internal subject matter expert on Claude and generative AI systems, sharing knowledge and building reusable accelerators and assets. Collaborate with Account Executives to shape technical strategy and support pre-sales and solution design activities. Contribute feedback to product and partner teams based on real-world enterprise deployments. Requirements: 5+ years of experience in software engineering, solutions architecture, technical consulting, or customer-facing AI roles. 2+ years of hands-on experience building production LLM applications using Claude, GPT-4, or similar enterprise-grade models. Strong Python programming skills, with additional experience in TypeScript, Java, or similar languages being a plus. Experience designing and deploying agentic systems using frameworks such as LangGraph, Lan
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