Principal Architect – AI

Becrypt is creating a new, standalone Principal Architect – AI role to lead the organisation's approach to artificial intelligence across the business. This is a senior technical position for someone who can look across engineering, product, IT and operations to identify where AI can genuinely improve how Becrypt builds, secures and runs its platforms — and who can then design, build and govern the systems that make that possible.

This is not a team-management role. It is a hands‑on, principal‑level individual contributor position for someone who leads through technical depth, credibility and influence — working closely with engineering teams, technical architects and internal IT, and setting the policies, risk frameworks and compliance guardrails needed to adopt AI responsibly.

• Assess processes and systems across the business — engineering, product, customer‑facing operations, internal IT — to identify where AI can add genuine value, streamline work, or reduce risk.
• Act as the go‑to technical authority on AI across Becrypt, working directly with engineering teams, technical architects and internal IT rather than through a reporting chain.
• Develop and own AI‑related policy, governance, risk assessment and compliance frameworks, balancing confidentiality, integrity, availability, usability, customer requirements, engineering effort and operational risk.
• Advise leadership on AI strategy, opportunity areas and risk posture in plain, actionable terms.
• Design and build platforms for long‑running agentic workflow systems, including AI gateways and supporting infrastructure services.
• Design Docker‑based services using Linux container environments, Python, FastAPI, Type Script, MCP/FastMCP, OpenAI and AWS Bedrock.
• Apply secure boundaries around credentials, service access, tool invocation and human‑in‑the‑loop operation for AI/agentic systems.
• Build reusable services and integrations, and assess the security, isolation, maintainability and operational implications of emerging AI technologies before they’re adopted.
• Actively probe AI systems, integrations and agentic workflows for vulnerabilities — thinking like an attacker to uncover weaknesses in credential handling, tool invocation and data exposure before they’re exploited, and feeding findings back into design and policy.
• Get hands‑on with difficult technical problems alongside engineers — investigating, diagnosing and making architectural calls that improve security, assurance, maintainability and long‑term product direction.

• Experience in designing, building, securing and operating complex software platforms, Linux‑based systems, distributed services, APIs and integrations.
• Strong, current hands‑on experience with Docker/containerised environments, Python, FastAPI, Type Script, and AI‑specific tooling such as MCP/FastMCP, OpenAI APIs and AWS Bedrock.
• Practical experience building or integrating AI gateways, agentic workflow systems, or similar AI infrastructure — not just using AI tools, but architecting the systems around them.
• A track record of enterprise or platform architecture at principal/CTO‑advisory level, ideally spanning regulated, security‑conscious, or infrastructure‑heavy environments (e.g. payments, cloud platforms, integration platforms).
• Demonstrated ability to design policy‑based authorisation, credential/access boundaries, and secure‑by‑design controls for systems handling sensitive operations.
• Experience operating as a senior individual contributor — influencing engineering, product, security, customer‑facing and leadership stakeholders without relying on formal team management.
• A working mental model that balances security (CIA), usability, customer needs, engineering effort, operational…