AI Technical Architect Moldova

AI/ML Technical Architect role

ABOUT THE JOB
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
We’re growing fast and are looking for a AI Technical Architect to join our team. You'll work with the latest technologies in our bright, talented team. The environment at Amdaris is synergistic and supportive, so everyone can build the career they want in an organization going from strength to strength.

Requirements:

Technical Skills:
- 10+ years of experience in the field of software development with at least 1 year of experience in a AI technical architecture role.
- At least 2 years of experience in AI/ML field. 
- Expertise in RAG systems, AI Agents, and LLM enhancements.
- Hands-on experience in AI model development and managing the AI model lifecycle.
- Strong knowledge of data lifecycle management.
- Proficiency in Python.
- Good experience with SQL and NoSQL databases.
- Strong experience in Cloud platforms (AWS or Azure).
- Experience with deployment practices for AI models.
- Ability to produce high-quality technical documentation, including:
  - UML and C4 diagrams
  - Infrastructure diagrams
  - Data Flow and Threat Modelling diagrams
  - Understanding of non-functional requirements and their impact on system design.

Soft Skills:
- Strong collaboration and teamwork abilities.
- Proven technical leadership in AI-related projects.
- Excellent communication and organizational skills.
- Strong sense of responsibility and accountability.
- Curious and proactive mindset with a focus on research and innovation.

Responsibilities:
- Design a Technical Architecture (AI solution, security and infrastructure).
- Define a progressive technology upgrade roadmap. 
- Guide and support the development team on how to implement it progressively.
- Gather business requirements to define non-functional requirements.
- Validate technical feasibility with stakeholders and work together.
- Code Review and ensure code quality.
- Evaluate performance and support to optimize.
- Proof of Concept development of new tech stack.
- Support to implement DevSecOps / CI/CD.
- Define detailed Data Model.
- Define an AI evaluation plan
- Select appropriate AI techniques and technologies
- Work together with architects, dev, infra and security teams.
- Working in an Agile Methodology.
- Evaluate and define tech stack.
- Document developer guidelines and best practices.
- Identify and manage technical risk and technical debt.