onsite
Enterprise AI Architect - Alternate Solutions Health Network
Software Engineer
Design and deliver enterprise‑scale AI solutions, integrating supervised, unsupervised, generative and agentic models into high‑performance mobile and web applications using modern container orchestration.
About the role
Key Responsibilities
- Collaborate with business stakeholders and leadership to translate strategic goals into AI‑driven product roadmaps.
- Architect, prototype, and implement scalable machine‑learning pipelines for both supervised/unsupervised and generative/agentic models.
- Design containerized microservices using Docker and Kubernetes to ensure high availability and performance of AI services.
- Guide development teams in integrating AI models into mobile and web applications, emphasizing security, latency, and scalability.
- Establish best practices for model monitoring, versioning, and continuous improvement across the enterprise.
Requirements
- 5+ years of experience building and deploying AI/ML solutions in production environments.
- Strong proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch).
- Hands‑on experience with generative AI (LLMs, diffusion models) and agentic AI architectures.
- Deep knowledge of containerization (Docker) and orchestration platforms (Kubernetes) for AI workloads.
- Excellent communication skills to bridge technical teams and business stakeholders.
Skills
pythonmachine learninggenerative aikubernetesdocker