Technical Delivery Lead

This is a fully remote position, open to applicants in India.

📋 Description

• Create a transparent operational overview across all ongoing engagements, encompassing delivery status, adherence to plans, margin, staffing, technical risks, and client obligations.

• Proactively identify challenges, take direct action, and ensure that recovery strategies have responsible owners and measurable results.

• Establish and uphold the technical review standards for production AI systems.

• Evaluate architecture in terms of retrieval, orchestration, assessment, guardrails, observability, scalability, and security.

• Guarantee that every proposed Statement of Work (SOW) undergoes the necessary technical review prior to signing.

• Develop staffing strategies for each active SOW and assign engineers based on competing priorities.

• Minimize unnecessary bench time through effective redeployment.

• Recruit and calibrate engineers to meet consistently high standards.

• Lead distributed teams across the United States, India, and Latin America.

• Collaborate with pre-sales and engagement leaders on scoping, estimation, delivery strategies, and change management.

• Challenge assumptions prior to commitments and safeguard delivery margins.

• Ensure that client expectations align with the work that can be staffed and delivered.

• Work alongside the Chief AI Architect and platform leaders to implement shared architectural and evaluation standards.

• Identify reusable components and transform successful engagement work into capabilities that enhance future delivery.

• Report directly to the Head of AI Delivery.

⛳️ Requirements

• Over 12 years of experience in software engineering or technical consulting.

• At least 5 years of experience leading enterprise data or AI delivery projects.

• Proven track record of owning delivery outcomes and commercial performance across a portfolio of client accounts.

• Direct experience in deploying GenAI or machine-learning systems to production within the last two years.

• Strong familiarity with LLM and agentic architectures, including retrieval, orchestration, evaluation, guardrails, observability, and production operations.

• Experience with estimation, technical SOW review, staffing strategies, change management, delivery recovery, and P&L management.

• Ability to align engagement managers, pre-sales teams, architects, and distributed engineering teams while ensuring accountability for technical delivery.

• Comfort in making staffing and delivery decisions across the United States, India, and Latin America.

• Experience leading forward-deployed or client-embedded engineering teams within an AI, data, or technology services organization.

• Background in consumer goods, supply chain, real estate, manufacturing, media, or other operationally complex enterprise environments.

• Proven ability to convert client-specific delivery work into reusable platform components, delivery accelerators, or technical standards.

🏝️ Benefits

• Engage at the cutting edge of AI, assisting leading AI laboratories in enhancing advanced models by developing expert datasets, reinforcement learning environments, and benchmarks.

• Contribute to pioneering AI research and present your work at prestigious conferences such as ICLR, ICML, and NeurIPS.

• Introduce frontier AI innovations to tackle enterprise business challenges.

• Collaborate with outstanding peers who possess extensive AI experience from leading companies like Google, Meta, Amazon, and others.

• Operate at the speed of AI innovation, enjoying startup-like agility, ownership, and impact.

• Experience a diverse, inclusive, and authentic workplace that promotes equal opportunity.