{"id":4262620,"url":"https://alion.io/job/pwc-senior-ai-agent-engineer","title":"Senior AI Agent Engineer","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":67,"open_postings":2541,"ghost_share":0.543,"stale_share":0,"repost_share":0.002,"time_to_fill_p50_days":26,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Copilot Studio","optional":true},{"name":"CrewAI","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-15T12:00:58Z","employer_posted_date":null,"last_verified_at":"2026-10-15T12:00:58Z","board_verified":false,"closed_at":null,"days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.\n\nWe are looking for a Senior AI Agent Engineer to join our CEE IFS AI Factory and build production-grade AI solutions that solve real business problems and run reliably at enterprise scale.\n\nAI agents are the main focus of the role, but you will also build other AI-powered applications and services where they are the better fit for the problem. This is a hands-on engineering role. You will take solutions from idea and prototypes through production, working with developers, security teams, and business stakeholders. \n\nOur solutions are built on Microsoft Azure. Beyond that, the role is not tied to a specific framework. We are looking for someone with strong engineering fundamentals who can choose the right approach for the problem. \n\nWhat You’ll Do:\n\nDesign, build, deploy, and support AI agents and other AI-powered applications and services. \n\nBuild agent orchestration, tool calling, and the APIs, services, and integrations with enterprise systems that these solutions depend on. \n\nImplement RAG, including retrieval, embeddings, chunking, and vector search. \n\nManage agent's state, memory, context, and human-in-the-loop interactions where required. \n\nBuild automated tests and evaluations for prompts, tools, integrations, and end-to-end behavior. \n\nImplement guardrails such as input/output validation, prompt-injection protection, and safe fallback behavior. \n\nBuild secure, reliable, and cost-efficient solutions, with observability and tracing to identify and resolve failures. \n\nWork closely with the solution architect on design and with the DevOps engineer on deployment and environments. \n\nCreate reusable components, patterns, and documentation for use across the CEE IFS AI Factory. \n\nDepending on experience, lead the implementation of complex solutions, review code, and mentor other developers. \n\nWhat We Are Looking For \n\n4+ years of software engineering experience, building production grade applications and services. \n\nStrong hands-on development skills in Python. \n\nHands-on experience building REST APIs and integrations (e.g., FastAPI or similar). \n\nGood understanding of Microsoft Azure and its core services. \n\nMinimum 2 years of hands-on experience developing LLM-based and agentic solutions, including at least one delivered to production and in active use. \n\nHands-on experience with agent orchestration, tool/function calling, and managing state and memory. \n\nHands-on experience implementing RAG, including embeddings, retrieval, and vector search. \n\nExperience testing and evaluating LLM-based applications, monitoring and troubleshooting them in production. \n\nClear communication with technical and business stakeholders, in fluent spoken and written English. \n\nWhat Is Nice to Have:\n\nExperience developing backend | frontend applications \n\nHands-on experience with Azure AI Foundry, Azure OpenAI, or Azure AI Search. \n\nExperience with agent frameworks such as Microsoft Agent Framework, LangGraph, or CrewAI. \n\nPractical experience with Model Context Protocol (MCP). \n\nExperience with Microsoft Graph, Copilot Studio, or other Microsoft 365 integrations. \n\nExperience with containers, serverless, or event-driven architectures. \n\nExperience building multi-agent systems. \n\nExperience with voice, real-time, or multimodal AI. \n\nPolicy 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