AI Architect

🔥 2 minutes ago

🌐 Bulgaria, North Macedonia, +2 more countries – Remote

🇧🇬 Bulgaria – Remote 🇲🇰 North Macedonia – Remote 🇷🇸 Serbia – Remote 🇭🇷 Croatia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

PwC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1998

💸 Finance

💼 Consulting

☁️ SaaS

💰 Grant on 2023-09

Finance • Consulting • SaaS

PwC is a global network of firms providing professional services in areas such as audit, assurance, consulting, and tax services. With a presence in 157 countries and employing over 276,000 people, PwC is committed to delivering quality in assurance, advisory, and tax services. The company specializes in helping organizations and individuals create the value they're looking for by delivering specialized solutions in various industries including financial services, technology, media, and telecommunications, among others. PwC's services include consulting on matters like cybersecurity, business transformation, and sustainability, ensuring they remain at the forefront of industry trends and client needs.

📋 Description

• Design and guide production-ready Generative AI solutions for clients from discovery through implementation • Lead architecture and delivery of Generative AI solutions • Guide development teams on relevant tools, frameworks, and platforms • Translate business requirements into application, service, and target-state architectures • Own scalability, performance, latency, observability, security, and cost optimisation across AI solutions • Lead technical design and code reviews • Define adaptation approaches including prompting, RAG, fine-tuning, or distillation • Own evaluation strategies including golden datasets, offline and online evaluation, LLM-as-judge, and CI regression testing • Set retrieval quality standards for chunking, hybrid search, reranking, query rewriting, and permission-aware retrieval • Define AI security, privacy, Responsible AI, and governance controls • Own solution economics through model routing, caching, batching, and capacity planning • Support enterprise architecture standards and assess technology solutions • Supervise vendor developers and mentor engineers and junior architects • Support business development by identifying and researching client opportunities • Improve internal design and development practices and maintain documentation • Build internal relationships and strengthen the firm's reputation

🎯 Requirements

• 5+ years of experience in agile product delivery • Hands-on experience designing and delivering production software solutions at scale • Demonstrated expertise in Generative AI solution architecture • Personally delivered at least one Generative AI system to production and able to explain its architecture, failure modes, operating costs, and lessons learned • Bachelor's or Master's degree in Computer Science or Engineering, or equivalent practical experience • Strong hands-on experience with Generative AI architecture • Experience with large language models such as GPT-4, Gemini, and Llama • Experience with RAG, agent orchestration, and Microsoft Copilots • Experience with vector search and retrieval engineering • Experience with production AI agents • Experience with structured generation • Experience with cloud-native Azure architecture, including Azure Machine Learning and Azure AI services • Experience with service-oriented, event-driven, and microservices architectures • Experience with relational and NoSQL data stores, such as Microsoft SQL Server and MongoDB • Experience with Docker and/or Kubernetes • Experience with DevOps and delivery practices, including CI/CD, automation, and environment management • Working knowledge of user-centred product practices • Experience with AI evaluation using golden datasets, LLM-as-judge, and prompt and model regression testing • Experience with LLMOps and observability • Knowledge of model economics • Knowledge of AI security, including prompt injection, data exfiltration, jailbreak resistance, sandboxing, least-privilege identities, supply-chain risk, and the OWASP Top 10 for LLM Applications • Fluent written and spoken English • Relevant Microsoft Azure certification is preferred • Knowledge of Model Context Protocol, model adaptation, multimodal AI, AI regulation and assurance frameworks, and consulting or professional-services experience are nice to have

🏖️ Benefits

• Professional, positive, and team-oriented working environment • Professional experience in an international setting • Company training and excellent opportunities for professional and career growth • Challenging and interesting projects • Additional medical insurance • Food vouchers (EUR 102.26 per month) • Sport card • A fringe benefit • Annual bonus • Opportunity to work from home • Central office location in Sofia