AI Architect

Atlas Technica

. Serve as a technical and architecture advisor for selected financial services clients .

Posted 11/3/2026full-timeRemote • UkraineMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting secure AI applications and workflows across Microsoft Azure and related platforms, with a strong focus on technical risk evaluation and implementation readiness. Proven ability to lead technical discussions and mentor teams while ensuring architecture quality and compliance in financial services.

Highest-signal resume keywords

Microsoft Azure ArchitectureAI Application DesignTechnical Risk EvaluationClient-Facing CommunicationMentoring Engineers

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Hard Skills

PythonAPI DesignData IntegrationMachine LearningArchitecture Decision MakingSecurity ControlsProduction Readiness EvaluationEnvironment SeparationIdentity and Access ControlsObservability

Soft Skills

Problem-SolvingDecision-MakingDocumentationCommunicationLeadership

Tools & Technologies

Microsoft 365SharePointAzure AI FoundryMicrosoft Entra IDMicrosoft PurviewDefender for Cloud AppsAzure FunctionsDockerCI/CDGitHub Actions

Certifications & Qualifications

Microsoft CertificationsAzure CertificationsCloud Architecture CertificationsAI CertificationsSecurity Certifications

Industry Keywords

Financial ServicesHedge FundsPrivate EquityAsset ManagementRegulated Financial Institutions

Tech Stack

Tools & technologies

AzureCloudDockerPostgresPythonSnowflakeSQL

About the role

Key responsibilities & impact

Serve as a technical and architecture advisor for selected financial services clients
Lead technical discovery, architecture workshops, design reviews, and ongoing working sessions
Translate client business priorities into AI roadmaps, architecture decisions, implementation approaches, and technical requirements
Architect secure AI applications and agentic workflows across Microsoft Azure, Microsoft 365, SharePoint, Microsoft Entra ID, Azure AI Foundry, enterprise data platforms, APIs, and approved AI models
Define identity, permissions, data access, networking, secrets management, logging, auditing, human-review, and least-privilege controls
Evaluate architecture decisions and technical risks involving models, retrieval, memory, integrations, deployment, security, cost, resilience, maintainability, and production supportability
Convert validated prototypes and proofs of concept into implementation-ready architecture, scope, assumptions, standards, and acceptance criteria
Review code, implementation evidence, testing results, deployment plans, and technical documentation while maintaining architecture quality
Identify and communicate architecture, delivery, security, capacity, vendor, and client-dependency risks
Help establish Atlas Technica’s Ukraine-based AI Center of Excellence, including reference architectures, engineering standards, technical-review practices, reusable patterns, documentation expectations, and mentoring approaches
Design and use AI lab and validation environments, including test scenarios, evaluation criteria, evidence requirements, and production-readiness gates
Research, test, and validate AI platforms, agents, connectors, security controls, and architecture patterns before recommending client adoption

Requirements

What you’ll need

Five or more years of experience across software, cloud, data, security, solution architecture, or related technical disciplines, including significant experience leading complex architecture decisions
Hands-on experience designing and delivering production AI, machine learning, data, or agentic systems
Strong Microsoft Azure architecture experience across application hosting, identity, networking, storage, databases, logging, security, and deployment patterns
Practical experience with Azure AI Foundry, Azure OpenAI or comparable AI platforms, retrieval-augmented generation, embeddings, vector or hybrid search, and agent orchestration
Experience designing APIs, data integrations, secure connectors, and Model Context Protocol or comparable tool-integration patterns
Strong knowledge of Microsoft 365, SharePoint, Microsoft Entra ID, role-based access control, Microsoft Graph, and least-privilege access design
Working proficiency in Python, with the ability to review implementation code, scripts, infrastructure definitions, technical logs, and other engineering outputs
Strong experience designing secure systems with environment separation, identity and access controls, secrets management, audit logging, observability, and human-review safeguards
Demonstrated ability to evaluate technical risk, distinguish prototypes from production-ready solutions, and make evidence-based architecture decisions
Strong written and spoken English
Ability to lead technical conversations with senior client executives, portfolio managers, quantitative teams, developers, security leaders, and other stakeholders
Experience mentoring engineers, providing technical direction, and delegating implementation work while maintaining architecture quality and delivery accountability
Strong client-facing, communication, documentation, problem-solving, and decision-making skills
Experience supporting hedge funds, private equity firms, asset managers, banks, or other regulated financial institutions
Experience with Microsoft Purview, Defender for Cloud Apps, Microsoft Intune, data-loss prevention, sensitivity labels, and compliance-focused logging
Familiarity with Azure Functions, Azure Container Apps, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Docker, CI/CD, GitHub Actions, and Infrastructure as Code
Experience evaluating third-party or internally developed AI applications for security, architecture quality, and production readiness
Experience establishing an architecture practice, technical review board, Center of Excellence, offshore engineering capability, or similar technical governance structure
Relevant Microsoft, Azure, cloud architecture, AI, security, or related professional certifications

Benefits

Comp & perks

Compensation, applicable benefits, and other employment details will be communicated if and when this opportunity becomes active
Professional and career development opportunities
Collaborative and fast-paced work environment