AI Solution Architect
Techneptune Consulting
- Location
- Remote
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 29d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead end-to-end architecture, design, and implementation of AI and AI-native solutions
- Collaborate with business stakeholders, product owners, data teams, and engineering to translate business requirements into scalable, secure, and robust AI architectures
- Provide thought leadership on latest AI models and LLMs
- Ensure best practices, governance, and standards are adopted across AI initiatives
Requirements
- 15 years of overall IT experience
- 3-5 years focused on AI solution architecture and delivery
- Strong experience in AI Solution Architecture, designing and delivering enterprise-grade AI solutions
- Proven expertise in architectural design involving AI solutions, including end-to-end solution blueprints and reference architectures
- Hands-on knowledge of designing AI-based solutions using machine learning, deep learning, and LLM-based approaches
- In-depth understanding of latest AI models and large language models (LLMs)
- Experience with AI/ML platforms and services (e.g., Azure AI, AWS AI/ML, Google Cloud AI)
- Solid understanding of data architecture concepts, including data pipelines, feature stores, model deployment, and monitoring (MLOps)
- Strong background in application integration patterns (APIs, microservices, event-driven architecture)
- Ability to create high-quality architectural artifacts (HLDs, LLDs, sequence diagrams, data flow diagrams)
Skills
- Large Language Models (LLMs)
- Machine Learning Operations (ML Ops)
- Amazon Web Services
- Azure AI
- Google Cloud AI
- Kubernetes
- RAG
- Vector Databases
- Semantic Search
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