AI Solutions Architect
New
I
InnovecsSupply Chain & Logistics
Worldwide, RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- PythonMLOpsLangChain
Requirements
- 5+ years of experience in AI/ML solution architecture
- Deep expertise in LLMs, prompt and context engineering, RAG architectures, and vector databases
- Hands-on experience with agentic AI frameworks and orchestration (LangChain, LangGraph, CrewAI, AutoGen)
- Experience designing and deploying MCP servers
- Strong proficiency in Python; working knowledge of at least one additional language (Go, TypeScript, etc.)
- Experience with cloud-native AI deployment on AWS, GCP, Azure
- Solid software engineering fundamentals: design patterns, API design, testing, and CI/CD
- Ability to define AI adoption roadmap and prioritize business cases based on ROI
- Experience with AI compliance and governance frameworks (GDPR, EU AI Act, model cards)
- Experience leading engineering teams on AI-first projects
Responsibilities
- Design and guide implementation of AI-driven products, APIs, and platform features from concept to production
- Evaluate, select, and benchmark AI/ML models
- Architect scalable, observable, and cost-efficient AI systems
- Identify business processes for agentic AI automation
- Design and oversee implementation of MCP server ecosystems
- Architect multi-agent workflows using orchestration frameworks
- Drive governance of MCP deployments including audit trails and access control
- Optimize AI-augmented developer environments
- Implement observability and evaluation pipelines for LLM systems
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