Sr. AI Architect

Title: Senior AI Architect
Reports to: Principal AI Architect
Department: AI & Advisory
Location: London UK Remote
Term: Full-Time

About Atlas Technica

Atlas Technicas 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!

Position Overview

We are seeking a Senior AI Architect to join our growing AI & Advisory practice and serve as a senior architecture leader for Atlas Technicas 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 Technicas offshore AI Center of Excellence. This role will also contribute to the design and use of Atlass 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.

Position 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 Technicas 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 Atlass 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

Requirements:

• 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

Desirable Qualities:

• 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 upon race religion color national origin gender sexual orientation gender identity age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.