Technical Delivery Lead, Emerging

Overview

Technical Delivery Lead, Emerging owns the engineering, staffing, delivery health and commercial decisions across several concurrent production AI engagements for enterprise clients in consumer goods, supply chain, real estate, manufacturing, media and other complex environments.

What you'll do

• 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, reviewing 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, allocate engineers across competing priorities, and reduce avoidable bench time through redeployment.
• Hire and calibrate engineers against a consistently high bar.
• Lead teams distributed 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, protect delivery margin, and 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 engagement work into capabilities that improve future delivery.

What you'll need

• 12+ years in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery.
• A track record of owning delivery outcomes and commercial performance across a portfolio of client accounts, not only a single project.
• 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.
• The ability to align engagement managers, pre-sales, architects and distributed engineering teams while maintaining clear accountability for technical delivery.

Nice to have

• 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.
• A record of turning client-specific delivery work into reusable platform components, delivery accelerators or technical standards.

Details

• Full-time; India-based, working with distributed teams across the United States, India and Latin America.
• Reports to the Head of AI Delivery.
• Expected to maintain Emerging delivery gross margin at or above 40% in the first year, and contribute at least two reusable components to the Enterprise AI platform.