At a Glance
- Tasks: Lead enterprise AI strategy and design scalable, cloud-native AI solutions.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on enterprise-level AI integration.
- Why this job: Shape the future of AI while collaborating with diverse teams and cutting-edge technologies.
- Qualifications: Experience in AI architecture, multi-agent systems, and cloud platforms required.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- Agentic AI Frameworks: LangChain, LangGraph, Microsoft Agent Framework (formerly AutoGen / Semantic Kernel), CrewAI
- Databases: SQL databases (ideally PostgreSQL) for configuration & operational data; NoSQL vector databases (ideally Azure Cosmos DB) for embeddings & retrieval
- Azure Platform: Azure AI Foundry (agent building & orchestration), Azure OpenAI Service, Azure AI Services, App Service
- AI Techniques: RAG architectures (chunking strategies, embedding models, retrieval pipelines), Data agents with Power BI integration, Python Agent development, ML techniques, APIs, Prompt Engineering, System prompt design, Tool/function calling patterns, Multi-step orchestration
- API Integration: Calling and orchestrating third-party APIs for agent tool use
- Knowledge Of: C# API development, DevOps CI/CD pipelines (Azure DevOps or GitHub Actions), Docker, Infrastructure as Code (Terraform or Bicep)
- Frontend Integration: Angular or React for agent-facing UIs or dashboards, MCP (Model Context Protocol), Tool integration with agents, MCP Apps (formerly MCP-UI) for interactive UI components
- Observability & Evaluation: LangSmith or similar tracing/evaluation tools, Streaming & Real-Time Responses (SSE, WebSockets)
- Testing: Non-Deterministic AI Outputs, Evaluation strategies, golden datasets, regression testing
- Cost Management & Token Budgeting: Token usage, model trade-offs, caching strategies
- Multi-Agent Orchestration: Designing collaborative agent systems with delegation and handoffs
- Fine-Tuning / Model Customisation: Adapting models for domain-specific use cases
- Authentication & Identity: OAuth, managed identities
- Logging & Audit Trails: Compliance and traceability for agent decisions/actions
- Additional LLM Providers: Experience beyond Azure OpenAI (e.g., Anthropic, open-source via Ollama/vLLM)
- Graph Databases: Neo4j or similar for knowledge graph-backed agents
- Message Queues / Event-Driven Architecture: Azure Service Bus
- Security & Guardrails: Content filtering, prompt injection mitigation, PII handling
- API Design: REST / GraphQL for exposing agent capabilities
What the job involves
We are seeking a Senior Enterprise Architect (AI-Focused) to lead our enterprise AI strategy and drive the design of scalable, cloud-native AI solutions. This role will focus on agentic AI, multi-agent systems, RAG architectures, and enterprise AI integration aligned to business goals. You will establish best practices for AI architecture, orchestration, governance, and responsible AI, while partnering with cross-functional teams to deliver secure, production-grade solutions across the organisation.
- Define and lead the enterprise AI architecture strategy, aligning agentic AI capabilities with business goals
- Design and govern scalable AI architectures, including multi-agent systems, data pipelines, and model lifecycle management
- Drive adoption of agentic AI frameworks and establish best practices for orchestration, tool usage, and system integration
- Architect and oversee RAG based solutions, ensuring effective retrieval pipelines, embedding strategies, and knowledge integration
- Lead integration of AI solutions across enterprise platforms, APIs, and third-party services
- Establish standards for prompt engineering, multi-step orchestration, and agent behaviour design
- Ensure robust governance, including security, compliance, auditability, and responsible AI practices
- Collaborate with engineering, data, and business teams to deliver production grade AI systems
- Provide technical leadership across cloud native AI platforms, particularly within Azure ecosystems
- Mentor teams on AI architecture patterns, emerging technologies, and implementation strategies
Senior Enterprise Architect (AI Focused) employer: Deepstreamtech
As a Senior Enterprise Architect (AI Focused) at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a commitment to responsible AI practices, all within a vibrant location that fosters creativity and growth. Join us to lead cutting-edge AI strategies and make a meaningful impact in a supportive environment that values your expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Enterprise Architect (AI Focused)
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and tech scene. Attend meetups, webinars, or conferences related to enterprise architecture and AI. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI frameworks or multi-agent systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company’s AI strategy and mention how your experience aligns with their goals. This shows you’re genuinely interested and have done your homework.
✨Tip Number 4
Apply through our website! We love seeing applications that come directly from our platform. It helps us keep track of candidates and ensures you get the attention you deserve. Plus, it’s super easy to navigate!
We think you need these skills to ace Senior Enterprise Architect (AI Focused)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with agentic AI frameworks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for our Senior Enterprise Architect role. Don’t forget to mention specific technologies from the job description!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's using Azure AI Services or developing with Python, we love seeing real-world examples of your work and how you’ve tackled challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter team!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Frameworks
Make sure you’re well-versed in the agentic AI frameworks mentioned in the job description, like LangChain and Microsoft Agent Framework. Prepare to discuss how you've used these frameworks in past projects and be ready to share specific examples of your experience with them.
✨Showcase Your Database Skills
Brush up on your SQL and NoSQL database knowledge, especially PostgreSQL and Azure Cosmos DB. Be prepared to explain how you’ve managed data pipelines and retrieval processes in previous roles, as this will demonstrate your ability to handle operational data effectively.
✨Demonstrate Your Integration Expertise
Familiarise yourself with API integration and orchestration techniques. You should be able to talk about your experience with third-party APIs and how you’ve implemented multi-step orchestration in your projects. This will show that you can design collaborative systems effectively.
✨Prepare for Technical Leadership Questions
As a Senior Enterprise Architect, you’ll need to exhibit strong leadership skills. Think about times when you’ve mentored teams or led projects, particularly in cloud-native environments. Be ready to discuss your approach to governance and responsible AI practices, as these are crucial for the role.
