AI Architect

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

📋 Description

• Act as a technical and architectural consultant for designated financial services clients.

• Facilitate technical discovery, architecture workshops, design evaluations, and continuous working sessions.

• Convert client business objectives into AI roadmaps, architectural decisions, implementation strategies, and technical specifications.

• Design secure AI applications and intelligent workflows utilizing Microsoft Azure, Microsoft 365, SharePoint, Microsoft Entra ID, Azure AI Foundry, enterprise data platforms, APIs, and approved AI models.

• Establish identity, permissions, data access, networking, secrets management, logging, auditing, human-review, and least-privilege controls.

• Assess architectural choices and technical risks related to models, retrieval, memory, integrations, deployment, security, cost, resilience, maintainability, and production supportability.

• Transform validated prototypes and proofs of concept into implementation-ready architecture, scope, assumptions, standards, and acceptance criteria.

• Evaluate code, implementation evidence, testing outcomes, deployment strategies, and technical documentation while ensuring architecture quality.

• Recognize and communicate risks associated with architecture, delivery, security, capacity, vendors, and client dependencies.

• Assist in establishing Atlas Technica’s Ukraine-based AI Center of Excellence, which includes reference architectures, engineering standards, technical review practices, reusable patterns, documentation expectations, and mentoring strategies.

• Design and utilize AI lab and validation environments, incorporating test scenarios, evaluation criteria, evidence requirements, and production-readiness gates.

• Conduct research, testing, and validation of AI platforms, agents, connectors, security controls, and architectural patterns prior to client recommendations.

⛳️ Requirements

• A minimum of five years of experience in software, cloud, data, security, solution architecture, or related technical fields, with extensive experience in leading complex architectural decisions.

• Direct experience in designing and delivering production-level AI, machine learning, data, or intelligent systems.

• Strong expertise in Microsoft Azure architecture, covering application hosting, identity management, networking, storage, databases, logging, security, and deployment methodologies.

• Practical experience with Azure AI Foundry, Azure OpenAI, or similar AI platforms, including retrieval-augmented generation, embeddings, vector or hybrid search, and agent orchestration.

• Proven experience designing APIs, data integrations, secure connectors, and Model Context Protocol or comparable tool-integration methodologies.

• In-depth knowledge of Microsoft 365, SharePoint, Microsoft Entra ID, role-based access control, Microsoft Graph, and least-privilege access design principles.

• Proficient in Python, capable of reviewing implementation code, scripts, infrastructure definitions, technical logs, and other engineering outputs.

• Strong background in designing secure systems with environment separation, identity and access controls, secrets management, audit logging, observability, and human-review safeguards.

• Proven ability to assess technical risks, differentiate prototypes from production-ready solutions, and make data-driven architectural decisions.

• Excellent written and verbal communication skills in English.

• Capability to lead technical discussions with senior client executives, portfolio managers, quantitative teams, developers, security leaders, and various stakeholders.

• Experience in mentoring engineers, providing technical guidance, and delegating implementation tasks while ensuring architecture quality and accountability for delivery.

• Strong client-facing skills, with robust communication, documentation, problem-solving, and decision-making abilities.

• Experience working with hedge funds, private equity firms, asset managers, banks, or other regulated financial institutions.

• Familiarity with Microsoft Purview, Defender for Cloud Apps, Microsoft Intune, data loss prevention, sensitivity labels, and compliance-focused logging.

• Knowledge of Azure Functions, Azure Container Apps, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Docker, CI/CD, GitHub Actions, and Infrastructure as Code.

• Experience in evaluating third-party or internally developed AI applications for security, architectural quality, and readiness for production.

• Experience in establishing an architectural practice, technical review board, Center of Excellence, offshore engineering capability, or similar technical governance framework.

• Relevant certifications in Microsoft, Azure, cloud architecture, AI, security, or related professional fields.

🏝️ Benefits

• Compensation, applicable benefits, and other employment details will be shared once this opportunity becomes active.

• Opportunities for professional and career development.

• A collaborative and dynamic work environment.