
501 - 1000 employees
🏥 Healthcare
🏨 Hospitality
✈️ Travel
💰 $100M Private Equity Round on 2022-08
Healthcare • Hospitality • Travel
Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.
🔥 7 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
🏥 Healthcare
🏨 Hospitality
✈️ Travel
💰 $100M Private Equity Round on 2022-08
Healthcare • Hospitality • Travel
Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.
• Set technical direction across AI Engineering, including architecture principles, engineering standards, delivery practices and technical capabilities • Own the technical quality of major AI engagements involving architecture, scale, complexity and delivery risk • Lead multiple projects and technical workstreams, setting priorities and direction • Design and review production AI architectures, including retrieval and knowledge layers, agentic pipelines, evaluation and multilingual systems • Manage cost, latency, reliability and scalability trade-offs • Review code, prototype approaches, resolve architectural issues and work directly with engineers on difficult problems • Run rigorous design reviews and raise engineering standards across the practice • Act as senior technical counterpart to clients, including CxO and architecture leadership • Own technical quality of major AI proposals, translating concepts into architectures, scopes, delivery models, team structures, estimates and commercial assumptions • Work with commercial and account leadership to shape technical propositions and identify opportunities • Develop senior engineers and technical leads • Shape the AI Engineering capability plan, including hiring priorities, skills development, team composition and senior technical talent standards
• At least 10 years’ experience across AI, data and software engineering • 3+ years leading engineering teams or a substantial technical function within consulting or professional services • Experience operating beyond individual project leadership, with responsibility for technical direction, engineering quality or capability across multiple teams • Production Python experience • Experience with substantial codebases and API-driven systems that perform reliably at scale • Recent, personal experience architecting and building production AI systems • Experience with retrieval strategy, caching, context economics, serving constraints, evaluation, observability and practical production issues • Strong systems thinking and ability to reason through unfamiliar platforms and problems • Experience leading complex programmes or multiple concurrent engineering workstreams • Accountability for technical direction, planning, resourcing, risk and delivery outcomes • Judgement to know when to intervene personally and when to lead through others • Experience developing senior engineers and technical leaders • Experience shaping team capability and raising the engineering bar across a wider organisation • Commercial awareness to turn technical solutions into realistic scopes, team shapes, estimates and delivery plans • Experience contributing to account growth, technical propositions or go-to-market activity within a consulting organisation • Confidence operating with senior clients and executives while remaining credible with engineers at code and architecture level • Ability to make difficult technical calls, create clarity amid ambiguity and take responsibility for outcomes • Strong experience with Databricks and Azure OpenAI
• Employees can work remotely • Great Place To Work accreditation across office locations • Focus on DEI initiatives and championing representation
Apply Now🕒 August 25
Agentic AI Architect designing Claude-powered enterprise AI, automation, and RAG solutions. Connecting AI with ServiceNow, enterprise data, and mission-critical workflows for NewRocket clients.
🕒 August 11
Principal AI Engineer shaping Mitratech’s HotDocs enterprise legal document automation platform. Delivering production AI capabilities and leading AI adoption across the software development lifecycle.
🇬🇧 United Kingdom – Remote
💰 Private Equity Round on 2017-04
⏰ Full Time
🔴 Lead
🤖 AI Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
🕒 July 28
Staff Applied AI Engineer building customer-facing AI features for Pleo's spend management platform. Shipping and evaluating production GenAI systems across agentic workflows, retrieval, monitoring, and safety.
🕒 July 16
AI Software Engineer developing high-performance AI solutions at Grafana Labs. Collaborating with teams to enhance product features and optimize data access.
🇬🇧 United Kingdom – Remote
💵 £100k - £124k / year
⏰ Full Time
🔴 Lead
🤖 AI Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
🕒 July 10
Principal AI Engineer responsible for the data architecture and AI infrastructure for Grip's event platform. Collaborating on data standards and driving technical strategy in data management.