Senior AI Architect

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

📋 Description

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

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

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

• Design secure AI applications and autonomous workflows utilizing 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 decisions and technical risks related to models, retrieval, memory, integrations, deployment, security, cost, resilience, maintainability, and production supportability.

• Transition validated prototypes and proofs of concept into architecture ready for implementation, including scope, assumptions, standards, and acceptance criteria.

• Provide architectural guidance to AI Engineers by reviewing code, evidence, testing, deployment plans, and documentation.

• Identify and relay risks associated with architecture, delivery, security, capacity, vendor relations, and client dependencies.

• Assist in establishing Atlas Technica’s AI Center of Excellence based in Ukraine.

• Mentor AI Engineers and aspiring architects.

• Design and implement AI lab and validation environments, comprising test scenarios, evaluation criteria, evidence requirements, and production-readiness checkpoints.

• Investigate, test, and validate emerging AI platforms, agents, connectors, security controls, and architectural patterns.

⛳️ Requirements

• Over 10 years of experience in software, cloud, data, security, solution architecture, or related technical fields.

• Extensive experience in leading intricate architectural decisions.

• Practical experience in designing and delivering production-ready AI, machine learning, data, or autonomous systems.

• Strong expertise in Microsoft Azure architecture, including application hosting, identity, networking, storage, databases, logging, security, and deployment models.

• Hands-on experience with Azure AI Foundry, Azure OpenAI, or similar AI platforms, RAG, embeddings, vector or hybrid search, and agent orchestration.

• Familiarity with designing APIs, data integrations, secure connectors, and MCP or similar tool integration patterns.

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

• Working proficiency in Python and capability to review implementation code, scripts, infrastructure definitions, technical logs, and engineering outputs.

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

• Ability to assess technical risk and differentiate between prototypes and production-ready solutions.

• Strong written and verbal communication skills in English.

• Experience in communications with senior client executives, portfolio managers, quantitative teams, developers, security leaders, and other stakeholders.

• Experience in mentoring engineers, providing technical guidance, and delegating implementation tasks.

• Excellent client-facing, communication, documentation, problem-solving, and decision-making abilities.

• Desirable: experience in supporting hedge funds, private equity firms, asset managers, banks, or regulated financial institutions.

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

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

• Desirable: experience in evaluating AI applications for security, architectural integrity, and production readiness.

• Desirable: experience in establishing an architecture practice, technical review board, Center of Excellence, offshore engineering capability, or similar governance structure.

• Desirable: relevant Microsoft, Azure, cloud architecture, AI, security, or related professional certifications.

🏝️ Benefits

• Competitive salary.

• Comprehensive benefits package.

• Attractive perks.

• Opportunities for professional and career development.

• A professional yet friendly work environment.