AI Engineering Manager

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Blend360

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead project delivery end to end with governance, stakeholder communication, and accountability for outcomes • Build and mentor a high-performing AI engineering team and establish technical standards • Own proposals and new business initiatives, assessing technical feasibility and communicating risks and tradeoffs • Define appropriate AI system capabilities and set realistic expectations about limitations • Conduct technical reviews and architectural assessments • Guide design and delivery of production-ready RAG systems, agentic frameworks, and LLM-powered solutions • Lead advanced prompt engineering, including instruction design, few-shot sets, structured outputs, and tool/agent prompts • Run feasibility assessments across prompting, RAG, fine-tuning, and classical ML approaches • Mentor engineers on AI system design and production deployment • Design evaluation frameworks, metrics, datasets, experiments, and go/no-go gates • Establish practices for categorising model failures and set production reliability standards • Build scalable inference infrastructure and CI/CD pipelines • Automate the MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring, and retraining • Design APIs, microservices, and orchestration layers optimized for latency, cost, and reliability • Lead infrastructure decisions balancing technical excellence with business efficiency

🎯 Requirements

• 7+ years building and deploying AI solutions in production environments • 2+ years of direct team leadership or technical management experience • Expert Python proficiency • Strong Git practices • Experience with ML/LLM versioning and deployment • Solid cloud experience across AWS, Azure, or GCP, preferably Azure • Containerization and orchestration knowledge • Hands-on RAG experience with chunking, embeddings, retrieval, reranking, and evaluation • Proven MLOps/LLMOps experience using MLflow, Weights and Biases, or similar tools • Practical evaluation design skills, including metrics, dataset curation, and structured experimentation • Experience with event-driven architectures, APIs, and microservices • Clear communication with engineering teams and senior stakeholders • Proven mentoring experience and strong hiring/team-building instincts • Advanced English required for communication with global teams and client leadership

🏖️ Benefits

• At-home medical assistance via EMI (or similar provider) through Asobursatil • Private healthcare plans for Lead-level roles and above • Christmas kit delivered to all employees • 1 day off for academic graduation • Family Day: 1 day off every semester • Savings incentive program via Asobursatil, with Blend contributions of 50% in Year 1, 100% in Year 2, and 150% in Year 3+ • Savings can be withdrawn in July and December • Forgivable education loans subject to committee approval and budget availability