{"id":1355863,"url":"https://alion.io/job/pricewaterhousecoopers-ai-solution-architect-2","title":"AI Solution Architect","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":"A","score":87,"open_postings":2640,"ghost_share":0,"stale_share":0.514,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":77000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1737},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Express","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-24T19:04:51Z","board_verified":false,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":69},"description":"Job Description & Summary\nThe Opportunity\nWe are looking for anAI Solution Architect to join theCEE IT Digital Solutions team and lead the design of enterprise AI solutions across the Microsoft ecosystem.\nYou will define architecture standards, engineering best practices, and reusable delivery patterns that enable teams to build secure, scalable, maintainable, and cost-effective AI solutions. Working closelywith various people fromdevelopers, business analysts, project managers, security teams,tobusiness stakeholders, you will help shape technology decisions and accelerate AI adoption across the organization.\nThis is a hands-on role requiringexpertiseacross the full AI spectrum, from low-code solutions built withCopilot Studio and Power Platform to enterprise-grade AI applications built onAzure AI services and modern AI frameworks. You will helpdeterminethe right architecture, technology stack, and delivery approach for each business scenario.\nWhat You WillDo:\nDefine AI standards, reference architectures, and reusable design patterns that accelerate consistent, high-quality solution delivery.\n\nDesign scalable, secure, and cost-efficient AI architectures and integration strategies.\n\nDesign enterprise AI solutions and agentic architectures, including RAG capabilities, voice-based agents, intelligent automation, multi-agent systems, orchestration patterns, and Human-in-the-Loop processes.\n\nGuide architecture decisions across Microsoft AI technologies such as Copilot Studio, Azure AI Foundry, Azure OpenAI, and modern AI development frameworks.\n\nRemain hands-on through prototyping, proof-of-concepts, technical reviews, and key implementation decisions, defining approaches for MVP delivery, production deployment, and solution scaling.\n\nDefine AI testing, evaluation, monitoring, quality assurance, and success measurement approaches.\n\nCollaborate with governance, security, and risk teams to ensure compliance with enterprise standards and responsible AI requirements.\n\nSupport solution shaping, technology selection, effort estimation, and technology adoption decisions, including evaluation of emerging AI capabilities and platforms.\n\nMentor team members and help grow AI engineering capability across the organization.\n\nWhat We Are Looking For:\nRequired Experience\n8+ years of experience in software engineering, solution architecture, or enterprise application development.\n\n4+ years of experience designing and delivering AI, GenAI, intelligent automation, or machine learning solutions.\n\nStrong experience with Copilot Studio, Microsoft Foundry, Azure OpenAI, and Azure AI Search.\n\nStrong understanding of Copilot Studio and enterprise AI solution design.\n\nSolidexperience with the Azure platform, including application hosting, integration, security, identity, networking, storage, and data services.\n\nProficiencyin Pythonor other programminglanguagesand experience with modern software development practices.\n\nExperience designing and integrating REST APIs and enterprise applications.\n\nHands-on experience with SQL and relational databases.\n\nExperience with GitHub and source control best practices.\n\nStrong understanding of LLMs, Generative AI, prompt engineering, vector search, embeddings, and RAG architectures.\n\nExperience with agent-based architectures, orchestration frameworks, and Human-in-the-Loop solutions.\n\nKnowledge of AI evaluation methods, quality measurements, monitoring, and observability practices.\n\nUnderstanding of Responsible AI, AI governance, and AI cost optimization principles.\n\nStrong understanding of AI-assisted software development practices, including the effective use of tools such as M365 Copilot, Cursor AI, Claude Code, and similar AI-powered engineering assistants.\n\nDecision-Making Capabilities\nYou should be comfortable making architecture decisions across:\nLow-code vs pro-code approaches.\n\nCopilot Studio vs custom AI solutions.\n\nSingle-agent vs multi-agent architectures.\n\nHuman-in-the-Loop vs autonomous workflows.\n\nTrade-offs between speed, scalability, security, and cost.\n\nSoft Skills\nExcellent communication and stakeholder management skills.\n\nAbility to communicate effectively with both technical and business audiences.\n\nFluent written and spoken English.\n\nNiceToHave:\nPower Platformecosystem knowledge\n\nAzure DevOps and CI/CD pipeline experience.\n\nMicrosoft Graph API.\n\nLangChain, LangGraph, AutoGen, Microsoft Agent Framework, or similar frameworks.\n\nVector databases such as Qdrant or ChromaDB.\n\nDatabricks,orMicrosoft Fabric.\n\nContainers, Docker, Kubernetes.\n\nVoice AI and conversational AI platforms.\n\nExperience with frameworks such as FastAPI, Spring Boot, Express.js, or similar.\n\n#LI-BS1 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