
Expert System Architect Wanted
1 week ago
To drive business growth, we seek an expert system architect who combines deep technical expertise with client-facing leadership. This role involves shaping and leading pre-sales engagements, crafting solution visions, and designing robust agentic architectures that address complex challenges across various industries.
Key Responsibilities:- Pre-Sales & Architecture Leadership:
- Develop solutions to tackle intricate business challenges in regulated sectors.
- Lead pre-sales engagements – workshops, discovery sessions, RFP/RFI responses, business cases and architecture deep-dives.
- Create demonstrators and PoCs that showcase the art of the possible and accelerate buying confidence.
- Translate scope into delivery-ready programmes, ensuring seamless handover to delivery teams.
- Promote best practice and responsible AI, embedding security, privacy, governance, and ethical considerations from day one.
- Delivery & Capability Building:
- Design, prototype, and deliver production-grade agentic architectures.
- Establish integrations with enterprise systems, APIs, and workflows ensuring scalability and resilience.
- Deploy, monitor, and continuously improve AI agents in real-world client environments.
- Mentor consultants and engineers, elevating capability across the region and contributing to global communities of practice.
- Demonstrated track record of building and deploying AI agents or agentic architectures in production, not just PoCs.
- Proven ability to lead pre-sales engagements – shaping solution visions, running workshops, responding to RFPs/RFIs, and designing architectures that win client trust.
- Strong grasp of agentic AI frameworks and orchestration patterns.
- Ability to explain and simplify complex AI concepts to both technical teams and senior executives.
- Solid software engineering fundamentals including CI/CD, observability, testing, and scalable system design.
- Experience designing multi-agent systems or autonomous workflows.
- Knowledge of retrieval-augmented generation (RAG) patterns, vector databases, and fine-tuning techniques.
- Hands-on experience with cloud AI platforms and MLOps practices.
- Publications, conference speaking, or open-source contributions in the AI/agent space.
- Ability to mentor and coach teams.
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