Company

Technology

AIEngineer/AnthropicArchitect(FDE)

€105–155k ~AI est. Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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