Principal Architect – AI

Becrypt Ltd

Greater London

On-site

GBP 120,000 - 190,000

Full time

47 hours ago
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Benefits offered by this job

Private medical insurance
Pension scheme
Season ticket loan
Gym membership subsidy
Life cover 4 x salary

Job summary

Becrypt Ltd is seeking a Principal Architect – AI to lead the organisation's AI strategy across engineering, product, IT and operations. This role is a hands-on, individual contributor position focused on policy, risk, and secure, scalable AI platforms.

You will design and govern AI-related systems, mitigate risks, and work with cross-functional teams to implement secure, compliant AI capabilities at Becrypt.

Qualifications

  • Senior-level architectural experience across platforms and services.
  • Experience designing policy-based authorisation and secure-by-design controls.
  • Ability to influence engineering, product, and IT without direct line management.
  • Hands-on coding and system integration with AI gateways and agentic workflows.

Responsibilities

  • Assess business processes to identify AI value, risks and improvements.
  • Act as technical authority on AI across Becrypt, working directly with engineering teams.
  • Develop AI governance, risk assessment and compliance frameworks.
  • Design and build AI platforms and gateway services using containerised environments.
  • Prototype and evaluate AI technologies for security, maintainability and scalability.

Skills

Architectural depth
Security design
Policy & governance
Stakeholder influence
Hands-on coding

Tools

Docker
Python
FastAPI
TypeScript
OpenAI APIs
AWS Bedrock

Job description

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 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.

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, 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.
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, 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.
Nice to Have
  • 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.
Success in This Role Looks Like
  • 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.
Package & Discretionary Benefits
  • 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

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