AI Project Manager
Adastra Zobrazit všechny práce
- Praha 8
- Trvalý pracovní poměr
- Plný úvazek
- Own project delivery for complex AI projects (multi-team, multi-stakeholder) from scoping through delivery, scale-up, and upsell.
- Shape technical solutions: requirements discovery, solution design and delivery plan, complex assessments, risks, and C-level presentations.
- Drive end-to-end delivery: Agile methodology, scope and risk management, change control, budget, and security governance.
- Coordinate cross-domain work: across multi-regional teams and practices to external delivery partners.
- Ensure production-grade outcomes: scalable infrastructure, observability, model monitoring, and value metrics (adoption, ROI).
- Manage stakeholders: expectation setting, escalation handling, clear communication, and decision facilitation across teams.
- Support and motivate the team: give feedback, encourage growth, and resolve issues effectively.
- Measure impact: define OKRs/KPIs, track business value, drive post-deployment adoption and expansion.
- Agentic AI Platforms: complex agentic ecosystems to enable GenAI and ML use cases, integrations to multiple platforms, governance and security, and legal compliance. Accelerated by our internal products.
- Customer 365 ML Platforms: personalization, churn prediction, and demand forecasting with production-grade infrastructure and MLOps.
- AI Product Engineering: custom end-to-end product delivery from PoC to scaled production.
- Industrial AI: production line optimization, predictive maintenance, quality detection with a scalable application layer.
- Logistics and Operations: intelligent planning, routing, demand forecasting, cost-to-serve optimization.
- Proven delivery of enterprise AI solutions into production.
- Strong analytical and communication skills: win strategy, shaping technical solutions, requirements gathering, presenting, and negotiating with senior stakeholders.
- Excellent stakeholder management across product, IT, data, security, and CxO levels.
- Experience with agile and hybrid delivery (Scrum/Kanban, scaled frameworks, program governance).
- Technical fluency: ML lifecycle, Agentic systems, RAG, MLOps/LLMOps, governance, observability.
- Familiarity with cloud/data stacks (Azure/AWS/GCP, Databricks/Snowflake, Kubernetes/Docker, MLflow/Airflow, etc.)
- Czech and English at a business/negotiation level; willingness to travel occasionally to clients.
- Problem-solving and an optimistic approach to challenges.
- Certifications: PMP/PRINCE2/SAFe, etc.
- Data governance and security knowledge (GDPR, EU AI Act, DORA)
- Delivery in regulated sectors (financial services, telco, healthcare, public sector).
- High impact: ownership of strategic AI initiatives with direct C-level visibility.
- Influence and autonomy: ownership of budgets, plans, and outcomes; strong leadership backing.
- Fast-moving environment: modern AI stack, opportunity to establish best practices across multiple regions.
- Growth: access to our AI experts, career path into program/account leadership.
- Competitive compensation with profit share.
- Flexibility: Prague (Karlin) offices + hybrid/remote options, modern tools and processes + visits to our clients.
- Benefits for well-being, 25 vacation days.