Solutions Architect, AI, Python/Data

This is a fully remote position, open to applicants in Armenia.

📋 Description

• Design and develop cloud-native data, LLM-based, and agentic AI solutions that address genuine business challenges for clients.

• Implement and enhance RAG systems for production scenarios.

• Establish and nurture strong relationships with key stakeholders, serving as a trusted technical advisor.

• Assist in presales activities: including discovery calls, crafting technical proposals, scoping, and conducting client-facing demonstrations.

• Take ownership of the technical direction for client engagements from initial discovery to final delivery, becoming the primary authority for both clients and internal teams.

• Write clean, production-ready Python code for AI integrations, backend services, and RESTful APIs.

• Develop and manage ETL/ELT workflows utilizing modern orchestration and distributed computing tools.

• Deploy machine learning and LLM-based solutions effectively.

• Implement MLOps, LLMOps, and AgentOps practices, including CI/CD, automated testing, model monitoring, and experiment tracking.

• Lead architecture reviews, create technical design documentation, and contribute to established standards.

• Mentor engineers, conduct code reviews, and disseminate knowledge throughout the team.

⛳️ Requirements

• 7+ years of experience in building and managing production systems, not limited to demos and proofs of concept.

• Hands-on expertise in creating production LLM-based applications and agentic workflows.

• Experience in integrating AI/ML components into comprehensive solutions.

• Familiarity with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.

• Proven experience in building and optimizing RAG systems.

• Understanding of LLM evaluation techniques along with quality assurance methodologies.

• Experience in deploying and maintaining AI/ML models in live production settings.

• Proficiency in Python, including OOP, design patterns, clean architecture, and performance optimization.

• Experience in developing RESTful APIs using frameworks like FastAPI, Django REST, or Flask.

• Capability to make and justify architectural trade-off decisions.

• Proficiency with Docker and Kubernetes.

• Practical experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP experience is acceptable.

• Understanding of CI/CD practices relevant to ML and AI pipelines.

• Familiarity with model monitoring, observability, and drift detection.

🏝️ Benefits

• Opportunity to engage with cutting-edge AI and cloud technologies.

• Access to internal training programs (Leadership, Public Speaking, and more) with comprehensive support for AWS and other professional certifications.

• Career advancement: a clearly defined path towards SA or higher; we actively invest in the development of our engineers.

• Access to the latest AI tools and premium subscriptions.

• Long-term B2B collaboration.

• Remote work with flexible hours.

• Private medical insurance or a budget for medical expenses.

• Paid sick leave, vacation, and public holidays.

• Provision of equipment and all necessary technology for a comfortable and productive work environment.