Principal Architect – AI

• Experience in a security-focused or highly regulated product company (Becrypt's

own domain).

• Prior experience introducing AI/agentic capability into an existing engineering

organisation from scratch.

• Familiarity with data-centre/on-prem as well as cloud (AWS) deployment models.

• 25 days annual leave plus an additional 2 days after 2 years' service
• 5 days additional holiday purchase available
• Private medical insurance
• Heath cashback plan with Healthshield
• Pension scheme
• Life cover 4 x salary
• Season ticket loan
• Salary exchange benefits (ride2work, pension)
• Subsidised gym membership
• Employee referral scheme

Role will be subject to an employment screening process and will require security

clearance.

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.

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, TypeScript, 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, TypeScript, 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 risk and product strategy when making architectural

decisions.

• Comfortable writing and championing policy, risk and compliance documentation,

not just technical designs.

• A clear, prioritised view of where AI can and should be applied across Becrypt,

backed by policy and risk frameworks that leadership and engineering trust.

• A working AI gateway / agentic platform in production use, built to Becrypt's security

and operational standards.

• Engineering teams and internal IT with a clear, well-governed path to adopt AI

capability safely and consistently.