Sr. AI Architect

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

We are seeking a Senior AI Architect to join our growing AI & Advisory practice and serve as a senior architecture leader for Atlas Technica’s Ukraine-based AI capability. This is a highly technical, hands-on, and client-facing role focused on designing secure AI solutions, leading complex client engagements, and guiding AI Engineers as solutions move from initial concept through validation and production readiness.

The Senior AI Architect will work closely with the Principal AI Architect and Global Head of AI & Advisory to translate business and technical requirements into practical AI architectures, establish reusable delivery standards, and help develop Atlas Technica’s offshore AI Center of Excellence. This role will also contribute to the design and use of Atlas’s AI lab and validation environments to determine when emerging technologies, patterns, and solutions are ready for client use.

The successful candidate will combine deep technical and architecture expertise with strong client communication, leadership, sound judgment, and a hands-on approach. This is not a purely conceptual architecture role; the Senior AI Architect must be comfortable reviewing code, testing assumptions, troubleshooting integrations, and stepping into implementation when needed.

• →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’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

• 10+ 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 (RAG), embeddings, vector or hybrid search, and agent orchestration
• Experience designing APIs, data integrations, secure connectors, and MCP 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 non-technical 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
• 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