Technical Delivery Lead

Job not on LinkedIn

🔥 5 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤓 Technical Project Manager

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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Turing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

📋 Description

• Establish a clear operating view across every active engagement, including delivery status, burn against plan, margin, staffing, technical risks, and client commitments • Identify issues early, intervene directly, and ensure recovery plans have accountable owners and measurable outcomes • Set and enforce the technical review bar for production AI systems • Review architecture across retrieval, orchestration, evaluation, guardrails, observability, scalability, and security • Ensure every proposed SOW receives appropriate technical review before signature • Build staffing plans for each active SOW and allocate engineers across competing priorities • Reduce avoidable bench time through redeployment • Hire and calibrate engineers against a consistently high bar • Lead distributed teams across the United States, India, and Latin America • Partner with pre-sales and engagement leaders on scoping, estimation, delivery plans, and change control • Challenge assumptions before commitments are made and protect delivery margin • Ensure client expectations match the work that can be staffed and delivered • Work with the Chief AI Architect and platform leaders to apply shared architecture and evaluation standards • Identify reusable components and turn successful engagement work into capabilities that improve future delivery • Report to the Head of AI Delivery

🎯 Requirements

• 12+ years in software engineering or technical consulting • 5+ years leading enterprise data or AI delivery • Track record of owning delivery outcomes and commercial performance across a portfolio of client accounts • Direct responsibility for shipping GenAI or machine-learning systems to production within the last two years • Strong working knowledge of LLM and agentic architectures, including retrieval, orchestration, evaluation, guardrails, observability, and production operations • Experience with estimation, technical SOW review, staffing plans, change control, delivery recovery, and managing to a P&L • Ability to align engagement managers, pre-sales, architects, and distributed engineering teams while maintaining accountability for technical delivery • Comfort making staffing and delivery decisions across the United States, India, and Latin America • Experience leading forward-deployed or client-embedded engineering teams in an AI, data, or technology-services organization • Experience in consumer goods, supply chain, real estate, manufacturing, media, or another operationally complex enterprise environment • Record of turning client-specific delivery work into reusable platform components, delivery accelerators, or technical standards

🏖️ Benefits

• Work at the frontier of AI, helping leading AI labs improve advanced models by building expert datasets, reinforcement learning environments, and benchmarks • Contribute to leading-edge AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS • Bring frontier AI innovation to enterprise business challenges • Collaborate with exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies • Move at the pace of AI innovation with startup speed, ownership, and impact • Equal opportunity, diverse, inclusive, and authentic workplace

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