What are the responsibilities and job description for the Ai architect position at VySystems?
Key Responsibilities
- Lead end‑to‑end deployment of Agentic AI–driven data accelerator solutions
- Act as senior technical advisor for strategic enterprise customers
- Architect and guide implementation of agentic frameworks (planning, tools, memory, orchestration)
- Design scalable backend systems using Python, FastAPI, Flask, and REST APIs
- Oversee deployments across AWS, Azure, and GCP
- Drive adoption of GenAI, LLMs, RAG pipelines, embeddings, and vector databases
- Guide UI integration using React for demos and production solutions
- Mentor and lead teams of Forward Deployment Engineers
- Partner with product, platform, sales, and leadership teams to influence roadmap
- Establish reusable accelerators, architectures, and best practices
Required Skills & Experience
- 15 years of experience in software engineering, cloud platforms, or AI solutions
- Strong hands‑on expertise in Python and API‑based architectures
- Extensive experience with FastAPI, Flask, RESTful services
- Proven experience delivering Generative AI / LLM‑based solutions in production
- Strong understanding of Agentic AI systems and frameworks
- Deep multi‑cloud experience: AWS, Azure, GCP
- Working knowledge of React for frontend integration
- Demonstrated leadership in customer‑facing or forward‑deployed engineering roles
- Excellent communication, technical leadership, and stakeholder management skills