AI Implementation & Project Management Specialist
19k - 25k PLN19 000 - 25 000 PLN/ mies.B2B
19k - 25k PLN19 000 - 25 000 PLN/ mies.UoP
MidFull-time·B2B·Umowa o pracę
#387210·Dodano 21 dni temu·6
Źródło: nofluffjobs.comTech Stack / Keywords
AzureCopilot StudioAIPower PlatformPower AutomateProject managementDoświadczenie RODO, complianceZnajomość GPU (inf. pod lokalne modele)
Firma i stanowisko
EWT Truck & Trailer Polska Sp. zo.o. is the company offering the AI Implementation & Project Management Specialist role, located in Ołtarzew, Ożarów Mazowiecki, Warszawa, Poland.
Wymagania
- 3–5+ years in deployment projects related to IT, automation, AI, or modern workplace.
- Minimum 2–3 years of project management experience including scheduling, budgeting, risk management, and team leadership; certifications like PRINCE2, PMP, Agile/Scrum are a plus.
- Documented experience working in organizations with 100+ employees, managing multi-stage, distributed deployments with multiple business stakeholders.
- Experience working with Microsoft 365 tools: Teams, SharePoint, OneDrive, Entra ID.
- Practical experience with at least one LLM model: SaaS (e.g., Claude, OpenAI, Azure OpenAI) or local LLM (e.g., Ollama/self-hosted).
- Ability to design solutions based on LLM integrated with company data (RAG, document repositories, API).
- Capability to lead end-to-end implementations with full project management accountability for schedule and budget.
- Excellent communication skills with business, management, and IT including workshops, documentation, architectural decisions, and project status reporting.
- Preferably experience implementing BI reports and dashboards (Power BI, Tableau, Qlik) including data modeling, report building, deployment, and user training.
- Proficiency in Polish and English (minimum B2 level).
Nice to have:
- Experience with GDPR (RODO) and compliance.
- Knowledge of GPU for local AI model inference.
Obowiązki
- Manage AI and BI implementation projects including scheduling, budgeting, resource planning, and oversight.
- Analyze business processes to identify AI use cases such as automation, content analysis, and decision support.
- Select architecture solutions: SaaS versus local LLM deployment.
- Design and implement solutions based on Microsoft 365 Copilot, external models (e.g., Claude via API), and local models (e.g., Ollama/self-hosted).
- Implement Microsoft 365 Copilot with organizational rollout to over 200 users.
- Extend Copilot functionalities using Copilot Studio, agents, and API integrations.
- Set up and configure local LLM models.
- Integrate and manage SaaS models including key management, cost control, and prompt/response quality design.
- Design and deploy BI reports and dashboards to measure AI solution effectiveness and ROI.
- Communicate project status, risks, and decisions with management, business sponsors, and IT teams.
- Collaborate on AI governance policies addressing data, access, retention, and logging.
- Integrate AI solutions with security policies including GDPR compliance, confidentiality, and auditability.
- Work with Purview for labels, DLP, and retention during Copilot implementation.
- Prepare AI usage standards including prompting and scenario guidelines.
- Conduct training for end users and IT/business teams.
- Measure AI effectiveness and usage; report to management.
Benefity
- Training budget
- Private healthcare
- Sport subscription
- Free coffee
- Mobile phone
- Free parking
- In-house trainings
- No dress code
Dofinansowanie szkoleń
Opieka zdrowotna
Karta sportowa
Napoje w biurze
Telefon
Parking dla aut
Szkolenia wewnętrzne
EWT Truck & Trailer Polska
Pracodawca