11 beste vacatures voor de functie van front end in purmerend (nieuwe medewerkers gezocht)

Senior Solution Architect
HCLTech —Amsterdam
- Azure
- Master
- Python
Senior DevOps Engineer
myTomorrows —Amsterdam
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Database Beheerder
TurkischGids —Almere
- E-mail
- SQL
- Bachelor
- APIs
Full-stack Developer
Sociale Verzekeringsbank —Amstelveen
- Tot € 6.395 per maand
- Hybride werken
- Azure
- DevOps
- Kantoor
Snel solliciteren
7 dagen
C# Developer
Womanly Remote —Amsterdam
- € 4.000 - € 6.500 per maand
- Hybride werken
- Informatica
- Informatica
- DevOps
- Reiskostenvergoeding
- Budget voor professionele ontwikkeling
Snel solliciteren
Murex Risk / XVA Business Analyst / Configurator
Varrlyn —Amsterdam-Zuidoost
- Fulltime
- Informatica
- Troubleshooting
- Financiën
Snel solliciteren
AI Full-Stack Product Engineer (Mid-Level)
Riverflex —Amsterdam
- Fulltime
- Hybride werken
- Azure
- DevOps
- Master
- Budget voor professionele ontwikkeling
Snel solliciteren
Senior Consultant Data Engineering
BearingPoint Netherlands —Amsterdam-Zuidoost
- Hybride werken
- Informatica
- Azure
- Informatica
- Flexibele werkuren
AI-Native Software Engineer - Windows Applications
Valsoft Corporation —Amsterdam
- Fulltime
- Hybride werken
- DevOps
- Engels
- Windows
Snel solliciteren
HubSpot Platform Engineer
iChoosr —Amsterdam Centrum
- Fulltime
- Hybride werken
- Engels
- Bachelor
- JavaScript
Snel solliciteren
Tech Delivery Lead (Web, Frontend Focus)
RP Group B.V. —Amsterdam
- € 4.808 - € 6.869 per maand
- Parttime
- Azure
- DevOps
- JavaScript
- Flexibele werkuren
Snel solliciteren

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Senior Solution Architect

HCLTech -
Amsterdam

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Vacaturegegevens

Kwalificaties

CI/CD
Azure
Master
Python

Volledige vacaturetekst

Amsterdam, Noord-Holland
Job Summary

About the role As an Agentic Forward Deployed Engineer, you operate at the front line of delivery - embedded with the client, turning ambiguous business problems into production agents, fast. Your deliverable is Business Transformation Agents: autonomous and multi-agent systems that automate and reimagine real business processes such as invoice disputes, procurement approvals, onboarding, claims and compliance workflows. You own each agent end to end -conceptualize, build, integrate, evaluate, deploy, and sustain - and you lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework / Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What you'll do Conceptualize fast: embed with stakeholders, frame a business process as an agentic solution, and stand up a working agent prototype in days, not weeks. Build Business Transformation Agents: design and ship single-agent and multi-agent systems in Python using ADKs that automate and transform real client workflows, with measurable ROI. Own efficiency as the scorecard: drive delivery efficiency and operational efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG / context-graph retrieval, memory, tool / function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authentication. Make reusability and predictability the default: build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. Run eval-driven development: build evaluation harnesses and test suites that measure agent correctness, safety and regression before anything ships. Own AgentOps / DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and Responsible AI governance baked in from day one. Run a continuous, adaptable feedback loop: feed production telemetry, evals and client feedback back into prompts, context and agent design. Stay ahead of the curve: adopt evolving agent frameworks and patterns

Key Responsibilities
1. To assess the domain IT landscape assessment and Application portfolio optimization for gap analysis
2. Creation of solution and architectural views (logical| conceptual| development| execution| infrastructure & operations architecture)
3. To collaborate with business and technical stakeholders, including leaders, project managers, and development teams, to understand and prioritize requirements while defining the architecture.
4. To ensure knowledge up-gradation and work with new and emerging products/technologies
5. To drive innovation by exploring and recommending new solutions within the organization.
6. To contribute towards white/technical papers and knowledge base

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front end vacatures in purmerend

Senior Solution Architect

Senior DevOps Engineer

Database Beheerder

Full-stack Developer

C# Developer

Murex Risk / XVA Business Analyst / Configurator

AI Full-Stack Product Engineer (Mid-Level)

Senior Consultant Data Engineering

AI-Native Software Engineer - Windows Applications

HubSpot Platform Engineer

Tech Delivery Lead (Web, Frontend Focus)

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