Principal Architect – AI

Job Requirements About the Role 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 andruns its platforms — and who can then design, build and govern the systems that makethat 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.

What You'll Do Strategic & cross-business

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.

Platform & engineering delivery

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.

What You'll Bring 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…