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About the Role
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
Requirements
- Experience in client services and project delivery, managing client stakeholders.
- 8+ years of professional experience in software architecture.
Skills
- Enterprise Solution Design, Development and Delivery
- GenAI/ML Frameworks & Tooling
- Large Language Models (LLMs)
- RAGs
- LangChain
- LangGraph
- Vector Databases (Pinecone, Milvus, Neo4j)
- Backend & API Development
- Server-side technologies
- Python
- Node.js
- Spring Boot
- Microservices Architectures
- RESTful APIs
- Frontend & UI Development
- React.js
- Angular
- TypeScript
- DevOps & Cloud Infrastructure
- CI/CD Pipelines (Jenkins, ADO)
- Containerization (Docker, Kubernetes, OpenShift)
- Cloud Platforms (Azure, AWS, GCP)
- Mentoring
- Providing technical leadership for cross-functional teams
Experience Level
- 8+ years of professional experience in software architecture
Education Level
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.