What You'll Do 

You'll build enterprise integrations that connect our AI platform to Microsoft 365 and other corporate systems. This is hands-on infrastructure work: implementing authentication flows, managing permissions, and creating data pipelines that enable AI agents to operate securely within enterprise environments. 

You'll work closely with senior engineers to expand our platform's integration capabilities—turning technical specifications into production code that consultants rely on daily. 

Your Responsibilities 

Integration Development: 

• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms 

Microsoft Graph & Enterprise APIs: 

• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic 

Security & Compliance: 

• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions 

Production Support: 

• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation 

Your Profile 

Required: 

• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling 

Strongly Preferred: 

• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems 

Bonus: 

• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications 

Why This Matters 

Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries—directly impacting how effectively consultants can work. 

We're not building prototypes—we're scaling proven capabilities. Our data infrastructure processes millions of media articles, social posts, and stakeholder signals daily. Our agents don't just answer questions—they generate press releases, analyze media coverage, and provide strategic recommendations that consultants use in high-stakes client situations. 

What makes this interesting: 

• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers 

What you'll learn: 

• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code 

About FGS Labs 

FGS Labs is FGS Global's innovation engine, building AI and data capabilities that are already in production and delivering value across the firm. Our flagship platform, Fergus, is a live AI assistant used daily by consultants worldwide, powered by real-time media intelligence, proprietary data sources, and specialized agents for M&A, crisis communications, and stakeholder strategy. 

About FGS Global

FGS Global is the world’s leading stakeholder strategy firm, with over 1,500 professionals around the world, advising clients in navigating critical issues and reputational challenges. FGS was formed from the combination of Finsbury, The Glover Park Group, Hering Schuppener and Sard Verbinnen & Co to offer board-level and C-suite counsel in all aspects of stakeholder strategy — including corporate reputation, crisis management, and public affairs and is also the leading force in transaction and financial communications worldwide.

FGS offers seamless and integrated support with offices in the following locations: Abu Dhabi, Amsterdam, Beijing, Berlin, Boston, Brussels, Calgary, Chicago, Dubai, Dublin, Düsseldorf, Frankfurt, Hong Kong, Houston, Kingston, London, Los Angeles, Munich, Paris, Riyadh, San Francisco, Shanghai, Singapore, South Florida, The Hague, Tokyo, Toronto, Vancouver, Washington, D.C., and Zurich. The firm is headquartered in New York.

FGS is consistently ranked a Band 1 PR firm for Crisis & Risk Management and for Litigation Support by Chambers and Partners.  For the second year, FGS was ranked #1 Global M&A PR firm by Deal Count and Value in 2024 by Mergermarket.

We are looking to fill this position as quickly as possible and are open to both freelance and permanent employment arrangements. 

FGS Global is committed to creating a diverse and inclusive environment and welcomes applicants from all backgrounds. 

What You'll Do 

You'll build enterprise integrations that connect our AI platform to Microsoft 365 and other corporate systems. This is hands-on infrastructure work: implementing authentication flows, managing permissions, and creating data pipelines that enable AI agents to operate securely within enterprise environments. 

You'll work closely with senior engineers to expand our platform's integration capabilities—turning technical specifications into production code that consultants rely on daily. 

Your Responsibilities 

Integration Development: 

• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms 

Microsoft Graph & Enterprise APIs: 

• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic 

Security & Compliance: 

• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions 

Production Support: 

• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation 

Your Profile 

Required: 

• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling 

Strongly Preferred: 

• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems 

Bonus: 

• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications 

Why This Matters 

Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries—directly impacting how effectively consultants can work. 

We're not building prototypes—we're scaling proven capabilities. Our data infrastructure processes millions of media articles, social posts, and stakeholder signals daily. Our agents don't just answer questions—they generate press releases, analyze media coverage, and provide strategic recommendations that consultants use in high-stakes client situations. 

What makes this interesting: 

• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers 

What you'll learn: 

• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code 

About FGS Labs 

FGS Labs is FGS Global's innovation engine, building AI and data capabilities that are already in production and delivering value across the firm. Our flagship platform, Fergus, is a live AI assistant used daily by consultants worldwide, powered by real-time media intelligence, proprietary data sources, and specialized agents for M&A, crisis communications, and stakeholder strategy. 

About FGS Global

FGS Global is the world’s leading stakeholder strategy firm, with over 1,500 professionals around the world, advising clients in navigating critical issues and reputational challenges. FGS was formed from the combination of Finsbury, The Glover Park Group, Hering Schuppener and Sard Verbinnen & Co to offer board-level and C-suite counsel in all aspects of stakeholder strategy — including corporate reputation, crisis management, and public affairs and is also the leading force in transaction and financial communications worldwide.

FGS offers seamless and integrated support with offices in the following locations: Abu Dhabi, Amsterdam, Beijing, Berlin, Boston, Brussels, Calgary, Chicago, Dubai, Dublin, Düsseldorf, Frankfurt, Hong Kong, Houston, Kingston, London, Los Angeles, Munich, Paris, Riyadh, San Francisco, Shanghai, Singapore, South Florida, The Hague, Tokyo, Toronto, Vancouver, Washington, D.C., and Zurich. The firm is headquartered in New York.

FGS is consistently ranked a Band 1 PR firm for Crisis & Risk Management and for Litigation Support by Chambers and Partners.  For the second year, FGS was ranked #1 Global M&A PR firm by Deal Count and Value in 2024 by Mergermarket.

We are looking to fill this position as quickly as possible and are open to both freelance and permanent employment arrangements. 

FGS Global is committed to creating a diverse and inclusive environment and welcomes applicants from all backgrounds. 

Role:  Senior Conceptual Designer (Maternity Cover)

Location:  Kingston, England, 3 days on site

About the role: 

Working in partnership with our client, we are seeking a Senior Conceptual Generative AI Designer. In this role, you will drive scalable, high-craft content for world-famous brands across beauty, home care, and foods.

You will shape how the client uses generative AI to create on-brand visuals, motion, and campaign assets across social, e-commerce, retail media, and digital channels. Based in Kingston (hybrid), you will lead creative direction and design for priority brands and always-on programmes. Your expertise in design craft and AI-enhanced production will raise quality, speed up delivery, and improve effectiveness, ensuring distinctive work that is brand-safe and rights-clear. We support flexible working and are open to different arrangements.

You will be the creative force and systems thinker behind AI-enabled design pipelines that deliver timely, consistent, and measurable results. Working at the intersection of brand strategy, design, motion, and AI, you will translate briefs, insights, and assets into visual territories, storyboards, and polished outputs that drive engagement and conversion. We are looking for someone who can blend hands-on craft with repeatable workflows, finding scalable approaches that protect brand equity and accelerate time to market. Success will be measured by uplift in creative performance, reusable prompt libraries and playbooks, frictionless approvals, and an up-skilled team.

What you will be doing: 

• Lead concepting and art direction for AI first and hybrid campaigns that improve brand distinctiveness and performance 
• Design repeatable AI pipelines (prompt libraries, reference sets, LoRA/ControlNet setups) that produce consistent, on brand results 
• Create key visuals, product renders, packshots, social content, storyboards, styleframes and motion loops for priority channels 
• Spearhead pilots in personalisation and content at scale for ecommerce and retail media, improving speed to live and ROI 
• Build and mentor designers, motion specialists and editors, fostering a learning culture and clear quality standards 
• Collaborate with brand teams, creatives, producers, strategists, legal and procurement to ensure rights, approvals and governance 
• Transform CADs, pack shots, ingredient imagery, UGC and legacy assets into new campaign ready content 
• Shape genAI guidelines for brands, including metadata, disclosure, watermarking and accessibility considerations 
• Stay ahead of AI and design developments; turn trends into tested prototypes, toolkits and training for the wider team 

What you need to be great in this role: 

• A portfolio showing standout generative AI work and high craft design across social, ecommerce and motion, ideally for large consumer brands 
• Mastery of prompt design, reference control and postproduction to achieve repeatable, onbrand outcomes 
• Proven ability to take ideas from moodboard to final delivery, directing synthetic or live action as needed 
• Expertise with tools such as Midjourney, Stable Diffusion/SDXL (e.g., ComfyUI or Automatic1111), Adobe Firefly, Photoshop Generative Fill, Runway, After Effects and Premiere Pro; familiarity with ControlNet, IPAdapter, and LoRA training is a plus 
• Experience leading end-to-end creative production at scale, including versioning, file hygiene, accessibility checks and DAM handover 
• A talent for presenting ideas and explaining AI methods to nontechnical stakeholders, with clear, constructive feedback 
• The ability to collaborate across disciplines, plan calmly under pressure and resolve ambiguity with practical choices 
• An eye for responsible AI: data provenance, licences, bias mitigation, likeness and trademark considerations, and brand safety 
• Professional proficiency in English and confidence working with global stakeholders 
• Qualifications: formal degrees are welcome but not required. Equivalent experience counts. Experience can come from work, study, volunteering or self directed learning.

Req ID: 15677
#LI-SL1 #LI-Hybrid #LI-director