We are looking for a Senior AI Engineer with deep expertise in Generative AI, Agentic AI architectures, and Python backend engineering. The individual will drive end-to-end design and implementation of enterprise-scale AI platforms, multi-agent systems, and intelligent automation solutions.
Key Responsibilities
- Architect and lead development of enterprise-grade GenAI and Agentic AI platforms.
- Design scalable multi-agent systems for complex business workflows.
- Define AI architecture standards, governance, security, and best practices.
- Lead implementation of advanced RAG, knowledge retrieval, memory management, and orchestration frameworks.
- Build reusable AI services, SDKs, APIs, and platform components.
- Drive model evaluation, observability, reliability, and optimization strategies.
- Collaborate with business stakeholders to translate use cases into AI solutions.
- Mentor engineers and provide technical leadership across AI initiatives.
- Evaluate emerging AI technologies and establish adoption roadmaps.
Required Skills
Primary Skills
- Generative AI Architecture
- Python Backend Engineering
- Agentic AI &
- Multi-Agent Systems
- Azure OpenAI Services (Preferred)
- Azure AI Foundry
- Azure AI Search
- AWS Bedrock or GCP Vertex AI (Good to Have)
- Kubernetes
- Docker
- CI/CD and MLOps Practices
Preferred Qualifications
- Experience leading AI solution architecture and delivery.
- Solid understanding of AI governance, responsible AI, and security.
- Experience implementing enterprise-scale AI transformation programs.
- Ability to mentor teams and influence technical direction.
Competencies
- Solution Architecture
- Technical Leadership
- Stakeholder Management
- Innovation &
- AI Strategy
- Problem Solving
- Team Mentoring