21 days ago
Sofia, BulgariaSenior
Responsibilities
- Lead the architecture and delivery of production-ready Generative AI solutions for clients.
- Translate business requirements into application, service, and target-state architectures, including RAG, agent orchestration, prompt, and evaluation patterns.
- Own scalability, performance, latency, observability, security, privacy, governance, and cost optimization across AI solutions.
- Define adaptation strategies including prompting, RAG, fine-tuning, and distillation, and determine when Generative AI is inappropriate.
- Own AI evaluation, retrieval quality, regression testing, LLMOps, monitoring, and production quality standards.
- Lead technical designs and code reviews while guiding development teams on tools, frameworks, and platforms.
- Supervise vendor developers, mentor engineers and junior architects, and support client-focused technical delivery.
- Support business development, internal practice improvements, documentation, and enterprise technology assessments.
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 and personal delivery of at least one Generative AI system to production.
- Bachelor's or Master's degree in Computer Science or Engineering, or equivalent practical experience.
- Strong experience with Generative AI, RAG, agent architecture, vector search, retrieval engineering, evaluation, LLMOps, observability, AI security, and model economics.
- Experience with cloud-native Azure architecture, software and data engineering, containers, orchestration, DevOps, and delivery practices.
- Working knowledge of product practices such as user stories, personas, and prototyping.
- Relevant Microsoft Azure certification, such as Azure Solutions Architect Expert or Azure Developer Associate, is preferred.
- Experience with Model Context Protocol, fine-tuning, LoRA/PEFT, distillation, multimodal AI, AI regulation frameworks, or consulting and professional services is preferred.
- Fluent written and spoken English with strong communication, collaboration, client focus, leadership, and analytical problem-solving skills.
Benefits
- Hybrid working model with a modern office in central Sofia.
- 25 days of annual leave, additional health insurance, meal vouchers, a Multisport card, annual fringe benefits, and wellbeing initiatives.
- Technical training, coaching, continuous learning, and support for relevant professional qualifications.
- Opportunities to work with local and international clients, industry experts, and the global PwC network.
- Clear career growth opportunities and support for a long-term career at PwC.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.