AI Workflow Architect

Annapurna; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Annapurna is seeking a Senior AI Solutions Architect to design scalable systems that connect AI technologies with real-world production environments. You will translate cutting-edge AI capabilities into reliable, production-grade solutions used by cross-functional teams.

You will define how AI is operationalised across large-scale business and creative workflows, building end-to-end architectures, automation pipelines, and reusable standards for adoption across teams.

Qualifications

• Strong experience designing complex workflow, automation, integration, or platform architectures.
• Hands-on experience with AI, GenAI, orchestration frameworks, automation platforms, or ML systems.
• Professional software engineering experience with Python and related tooling.
• Experience building production-ready solutions rather than purely experimental prototypes.
• Knowledge of workflow automation, APIs, cloud technologies, and systems integration.
• Ability to simplify complex processes and create scalable operating models.
• Experience driving cross-functional projects involving technical and non-technical stakeholders.
• Strong problem-solving and systems-thinking mindset.
• Passion for emerging technology and practical AI adoption.

Responsibilities

• Design end-to-end AI workflow architectures that integrate multiple systems, tools, and platforms.
• Build scalable automation pipelines that improve efficiency and reduce manual effort.
• Create internal tools, utilities, and workflow components to support production teams.
• Develop AI-enabled solutions that move from prototype to enterprise deployment.
• Orchestrate data flow between AI services, content systems, cloud platforms, and operational environments.
• Evaluate emerging technologies and integrate them into existing ecosystems.
• Improve workflow reliability, maintainability, and performance across complex environments.
• Create reusable standards, frameworks, and implementation patterns for multiple teams.
• Act as the bridge between technical, operational, and business stakeholders.

Skills

Workflow architecture

GenAI

Python

Production-grade deployment

Cloud technologies

APIs

Systems integration

Cross-functional leadership

Problem solving

Tools

None

Job description

We're supporting an ambitious organisation that is investing heavily in the next generation of AI-enabled production, automation, and operational workflows.

They are seeking a Senior AI Solutions Architect to design and implement scalable systems that connect AI technologies with real-world production environments.

This role is ideal for someone who enjoys bringing structure to complexity and can translate cutting-edge AI capabilities into reliable, production-grade solutions used by teams every day.

You will play a key role in defining how AI is operationalised across large-scale business and creative workflows.

What You'll Be Doing

• Designing end-to-end AI workflow architectures that integrate multiple systems, tools, and platforms
• Building scalable automation pipelines that improve efficiency and reduce manual effort
• Creating internal tools, utilities, and workflow components to support production teams
• Developing AI-enabled solutions that move from prototype to enterprise deployment
• Orchestrating data flow between AI services, content systems, cloud platforms, and operational environments
• Evaluating emerging technologies and integrating them into existing ecosystems
• Improving workflow reliability, maintainability, and performance across complex environments
• Creating reusable standards, frameworks, and implementation patterns that can be adopted across multiple teams
• Acting as the bridge between technical, operational, and business stakeholders

What We're Looking For

• Strong experience designing complex workflow, automation, integration, or platform architectures
• Hands-on experience with AI, GenAI, orchestration frameworks, automation platforms, or machine learning systems
• Professional software engineering experience with Python and related tooling
• Experience building production-ready solutions rather than purely experimental prototypes
• Knowledge of workflow automation, APIs, cloud technologies, and systems integration
• Ability to simplify complex processes and create scalable operating models
• Experience driving cross-functional projects involving technical and non-technical stakeholders
• Strong problem-solving and systems-thinking mindset
• Passion for emerging technology and practical AI adoption