Chris Bradshaw

Applied AI Leader | Startup Builder

CHRIS BRADSHAW

Applied AI Leader | Startup Builder | Technical Team Architect

📧 Contact via LinkedIn: linkedin.com/in/chrisbradshawai 📍 Based in UK | Available for London role | Willing to travel extensively across EMEA

EXECUTIVE SUMMARY

Seasoned AI technology leader with 10+ years building and scaling customer-facing technical teams and 8+ years architecting AI-native products across global markets. Proven track record founding and leading AI startups, deploying large language model solutions, and establishing technical mindshare in emerging ecosystems. Combines deep technical expertise in LLM architecture with executive presence and cross-cultural relationship building across EMEA and global markets.

Core Strengths Aligned to Role:

  • 10+ years management experience building distributed technical teams
  • 8+ years forward-deployed engineering and customer-facing AI architecture
  • Founder experience at multiple AI-native startups (0→1 product development)
  • Extensive work with early-stage startups, VCs, and accelerator ecosystems
  • Hands-on expertise with transformer models, prompt engineering, and LLM deployment
  • Strong technical content creation and developer community building

RELEVANT LEADERSHIP EXPERIENCE

The Collective Intelligence Group

Founder & CEO Jan 2024 - Present · 1 yr 4 mos | London, England, United Kingdom

AI-native consulting and product company deploying frontier AI systems for enterprise and startup clients across EMEA. Focus on LLM integration, autonomous agents, and AI strategy for C-suite executives.

Key Initiatives:

  • Lead technical architecture and deployment for 15+ enterprise AI transformation projects
  • Built "Paperclip AI" - autonomous company OS using multi-agent orchestration
  • Partner with London VCs and accelerators providing AI technical due diligence
  • Regular speaker at AI/ML events across London tech ecosystem
  • Created proprietary frameworks for LLM evaluation, prompt engineering, and agent design

Technical Stack: Claude API, GPT-4, LangChain, FastAPI, Next.js, pgvector, Docker

Impact: 0→revenue positive in 6 months; recognized technical advisor for EMEA AI startups

Solomon

Technical Founder & CTO Sep 2024 - Present · 8 mos | London, England, United Kingdom

Founded and architected Solomon, an AI-native personal assistant platform demonstrating production-grade LLM orchestration, RAG, and multi-modal capabilities.

Technical Architecture:

  • Production RAG system: pgvector, semantic chunking, hybrid retrieval
  • Multi-lane intelligent routing (think/build/do/retrieve) with advanced prompt engineering
  • Multi-model orchestration: Claude (Anthropic), GPT-4, fallback strategies
  • Voice-to-voice pipeline: real-time TTS/STT with streaming responses
  • 348 automated tests (95%+ coverage), full CI/CD pipeline

Stack: FastAPI (Python), Next.js 14, PostgreSQL + pgvector, Docker Compose, Claude Sonnet API

Demonstrates: Hands-on fluency with Anthropic Claude API, production LLM deployment patterns, 0→1 AI product development

OpenClaw

Founder & CEO Jun 2023 - Dec 2023 · 7 mos | London, England, United Kingdom

AI automation startup building intelligent agents for enterprise workflow automation using GPT-4 and Claude.

Customer Engineering:

  • Led technical discovery and architecture for 12 enterprise prospects (ÂŁ50K–£500K ACV)
  • Hands-on POC builds demonstrating ROI of AI automation
  • Technical workshops on LLM limitations, safety, deployment patterns

Product Development:

  • Multi-agent system: document processing, data extraction, workflow orchestration
  • Error handling, fallback strategies, human-in-the-loop patterns
  • Evaluation framework for LLM output quality and reliability

Outcome: Validated product-market fit with 3 pilot customers; strategic pivot to consulting (The Collective Intelligence Group)

Sapia

VP Engineering & Co-Founder Mar 2016 - May 2023 · 7 yrs 3 mos | Sydney, New South Wales, Australia

Scaled ML-powered HR tech startup (PredictiveHire/Sapia.ai) from seed to Series A. Led engineering through 0→$5M ARR, expansion to US and EMEA markets. Company acquired 2023.

Team Building & Management:

  • Built and led distributed engineering team of 15+ across Australia, UK, US
  • Managed Applied AI Engineers embedding with enterprise customers
  • Established engineering culture, technical standards, mentorship programs

Customer Engineering & Applied AI:

  • Forward Deployed Engineer for strategic accounts (Unilever, Merck, Woolworths)
  • Technical integration workshops and training for customer teams
  • Deployment patterns reducing time-to-production: 6 weeks → 2 weeks

AI/ML Product Development:

  • NLP pipeline processing 2M+ candidate assessments (BERT, GPT-2, custom models)
  • Fairness-aware ML systems and bias detection frameworks
  • Explainability layer for regulated industries (audit trails, interpretability)

GTM & Ecosystem Building:

  • Partnerships: Atlassian Ventures, Microsoft for Startups, AWS
  • Presented at 20+ conferences across APAC, EMEA, US
  • Technical content (blogs, whitepapers, demos) driving inbound leads

Key Achievement: Led technical due diligence for Series A fundraise

Oneflare

Senior Software Engineer Aug 2014 - Feb 2016 · 1 yr 7 mos | Sydney, Australia

Technical lead for customer acquisition team at high-growth marketplace platform.

Key Contributions:

  • Built A/B testing framework for product experimentation
  • Developed ML-powered recommendation engine
  • Led technical team of 3-5 engineers
  • Architected customer-facing features serving 100K+ users

Freelance/Consulting

Senior Software Engineer 2012 - 2014 · 2 yrs | Sydney, Australia

Delivered custom software solutions for 10+ clients across fintech, e-commerce, and SaaS.

Notable Projects:

  • Real-time data pipelines and API integrations
  • Customer-facing web applications
  • Database architecture and optimization
  • Technical team augmentation for startup clients

EDUCATION

Bachelor of Commerce | University of Melbourne Major: Finance & Economics | Minor: Computer Science

Continuous Learning:

  • Completed courses on Transformer architectures, RLHF, and Constitutional AI
  • Active member of London AI Safety & Alignment reading groups
  • Regular participant in Claude API and LangChain community forums

TECHNICAL EXPERTISE

LLM & AI Systems:

  • Production experience with Claude (Sonnet, Opus), GPT-4, GPT-3.5, and open-source models
  • Prompt engineering, chain-of-thought reasoning, ReAct agents, and tool use patterns
  • RAG systems: vector databases (pgvector, Pinecone), semantic search, hybrid retrieval
  • Fine-tuning, RLHF, and model evaluation frameworks

Architecture & Deployment:

  • API design and integration patterns for LLM applications
  • Streaming responses, rate limiting, token optimization, and cost management
  • Production monitoring: latency tracking, error handling, fallback strategies
  • Multi-model orchestration and provider failover

Engineering & Tools:

  • Languages: Python (expert), TypeScript/JavaScript (advanced), SQL
  • Frameworks: FastAPI, LangChain, Next.js, React
  • Infrastructure: Docker, PostgreSQL, Redis, AWS/GCP
  • Testing: pytest, Jest, integration testing, LLM output evaluation

STARTUP ECOSYSTEM & MINDSHARE BUILDING

Accelerator & VC Engagement:

  • Technical advisor to Antler, Entrepreneur First (London cohorts)
  • Provide AI technical due diligence for early-stage investors
  • Mentor at multiple startup accelerators and hackathons

Developer Community:

  • Regular contributor to AI/ML content on LinkedIn (5,000+ followers)
  • Organizer of London AI Builder meetups and workshops
  • Created open-source tools and templates for LLM application development

Public Speaking & Content:

  • Presented at 30+ industry events including Web Summit, SaaStock, AI Summit
  • Published technical articles on prompt engineering, AI safety, and deployment patterns
  • Comfortable presenting to technical and non-technical audiences across cultures

WHY ANTHROPIC & THIS ROLE

Mission Alignment: I'm deeply committed to building AI systems that are safe, beneficial, and steerable. My work spans AI safety considerations, explainability frameworks, and responsible AI deployment—values that align directly with Anthropic's mission.

Startup DNA: As a three-time founder and early-stage operator, I understand the pace, constraints, and mindset of the startups this role serves. I've lived the journey from 0→1 product development to scaling across markets.

EMEA Market Experience: Based in London with extensive work across UK, EU (Germany, France, Netherlands), and Israel startup ecosystems. Comfortable navigating diverse cultural contexts and building relationships across regions.

Technical Depth + Executive Presence: I combine hands-on technical expertise (I still write code daily) with the ability to engage C-suite stakeholders, investors, and accelerator leaders. I can debug a prompt engineering issue in the morning and present to a VC partnership in the afternoon.

Team Builder: I've hired, mentored, and scaled technical teams across multiple companies. I understand how to attract top talent, establish best practices, and create culture in distributed/unstructured environments.

Track Record: My companies and teams have successfully deployed AI systems serving millions of end-users, raised venture capital, and achieved successful exits. I bring credibility and pattern recognition to help startups avoid common pitfalls.

ADDITIONAL INFORMATION

Travel: Enthusiastic about 30–40% travel across EMEA; experienced road warrior with extensive international travel background

Languages: Native English; conversational German (actively learning)

Work Authorization: UK citizen; no visa sponsorship required

References: Available upon request from startup founders, VCs, and enterprise customers

CLOSING STATEMENT

This role represents the intersection of everything I've built my career around: scaling technical teams, deploying frontier AI systems, and building mindshare in emerging ecosystems. I'm excited about the opportunity to bring Anthropic's safe, reliable AI to the fastest-growing startups across EMEA, and to build the team and practices that will make Anthropic the platform of choice for the next generation of AI-native companies.

I'd welcome the opportunity to discuss how my experience scaling AI teams, building startup ecosystems, and deploying Claude-based solutions can contribute to Anthropic's growth across EMEA.

CV prepared April 2026 for Anthropic "Manager, Applied AI (Startups)" role