Senior AI Architect

Reports to: Principal AI Architect
Department: AI & Advisory
Location: Ukraine – Remote
Term: Full-Time

Atlas Technica is a leading managed services and technology firm serving hedge funds, private equity firms, family offices, and other alternative investment businesses. We design, secure, and operate the technology platforms behind highly regulated firms where confidentiality, availability, and trust are non-negotiable.

Atlas is expanding from traditional managed services into managed intelligence. Our AI & Advisory practice helps clients adopt generative AI, build agentic workflows, and move internal prototypes toward secure production use without losing control of proprietary data, identity, permissions, cost, or compliance.

We are seeking a Senior AI Architect to become the senior architecture leader for Atlas's Ukraine-based AI capability. This person will report directly to the Principal AI Architect and work closely with the Global Head of AI & Advisory.

This is a hands-on architecture and client leadership role. You will lead selected client engagements, guide AI Engineers, and turn uncertain business and technical requirements into secure, practical designs. Over time, you will become the architecture lead for Atlas's offshore AI Center of Excellence, helping establish its standards, delivery methods, technical review practices, and talent model.

You will also be closely involved in designing Atlas's AI lab and test environments with the Principal AI Architect and Global Head of AI & Advisory. You will help determine what Atlas should test, how it should be validated, and when a pattern is ready to be used with clients. You will not own the overall AI lab or the entire AI practice.

This is not a role for someone who only produces diagrams or manages technical teams. The right candidate still reviews code, tests assumptions, troubleshoots integrations, and can step into implementation when the problem demands it.

Requirements:

• Ideally 10 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 appropriate 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 sound architecture decisions based on evidence
• Strong written and spoken English, with the ability to lead technical conversations with senior client executives, portfolio managers, quantitative teams, developers, security leaders, and other technical and nontechnical 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

   

Responsibilities:

• Serve as a senior technical and architecture advisor for selected financial services clients, leading technical discovery, architecture workshops, design reviews, and ongoing working sessions
• Translate client business priorities into practical AI roadmaps, architecture decisions, implementation approaches, and clearly defined 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 appropriate identity, permissions, data access, networking, secrets management, logging, auditing, human-review, and least-privilege controls for AI solutions
• Evaluate architecture decisions and technical risks across model selection, retrieval, memory, integrations, deployment, security, cost, resilience, maintainability, and production supportability
• Convert validated prototypes and proofs of concept into implementation-ready architecture, scope, assumptions, technical standards, and acceptance criteria
• Provide architecture leadership to AI Engineers by reviewing code, implementation evidence, testing results, deployment plans, and technical documentation while maintaining accountability for overall architecture quality
• Identify and communicate architecture, delivery, security, capacity, vendor, and client-dependency risks early and clearly
• 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
• Mentor AI Engineers and developing architects while helping create a scalable architecture-and-engineering delivery model across multiple client engagements
• Partner with AI leadership to design and utilize Atlas Technica’s AI lab and validation environments, including test scenarios, evaluation criteria, evidence requirements, and production-readiness gates
• Research, test, and validate new AI platforms, agents, connectors, security controls, and architecture patterns before recommending broader client adoption

Nice to Have:

• 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
• Ability to communicate complex technical decisions clearly, challenge assumptions constructively, and recommend practical alternatives when proposed approaches introduce unnecessary risk
• Demonstrated commitment to strong documentation, explicit ownership, reliable follow-through, and evidence-based technical decision-making

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristic.