Technical Architect - AI-UK
Kaya Intelligence
AI Architect – Job Description
We
are seeking a visionary AI Architect with deep expertise in Generative
AI, LLMs, and scalable architecture design. You will lead the
technical direction of cutting-edge AI systems, collaborating with
cross-functional teams to deliver high performance, secure, and maintainable
solutions. The candidate will also bring experience in client services and
project delivery, with the ability to engage effectively with client
stakeholders, translate business requirements into technical strategies,
and ensure alignment across engineering and delivery teams.
Responsibilities
- Engage
with client stakeholders throughout the project lifecycle to ensure smooth
execution and timely delivery
- Take
ownership of end-to-end program delivery, managing risks, issues, and status
reporting to leadership
- Architect
enterprise-scale solutions leveraging GenAI and NLP technologies for real-world
use cases
- Provide
hands-on technical leadership to the development team, actively assisting in
overcoming complex challenges
- Lead and
manage cross-functional development teams, ensuring high performance and
collaboration
Skills
- Enterprise Solution Design, Development
and Delivery: Experience in designing, developing and delivering of enterprise scale
solutions by working with different internal and external stakeholders.
- GenAI/ML Frameworks & Tooling: Hands on experience in using
Large Language Models (LLMs), RAGs, LangChain, LangGraph, Vector Databases
(Pinecone, Milvus, Neo4j) for developing AI/ML based solutions.
- Backend & API Development: Hands on experience in
server-side technologies including Python, Node.js, Spring Boot in developing
Microservices Architectures, RESTful APIs.
- Frontend & UI Development: Hands on experience in using
React.js, Angular, TypeScript
- DevOps & Cloud Infrastructure: Expertise in CI/CD Pipelines
(Jenkins, ADO), Containerization (Docker, Kubernetes, OpenShift), Cloud
Platforms (Azure, AWS, GCP).
- Other Skills: Mentoring and providing
technical leadership for cross-functional teams.
Qualifications
- Bachelor’s
or Master’s degree in Computer Science, Software Engineering, Artificial
Intelligence, or a related field.
- Experience in client services and
project delivery, managing client stakeholders.
- 8+ years of professional experience in
software architecture.
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