VP, AI & Automation

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

📋 Description

• Take charge of the development and expansion of Livefront’s AI & Automation service line, which encompasses: AI Strategy & Readiness, Agentic Software Engineering, Enterprise Agents & Workflow Automation, AI Platforms & Context Services Engineering, AI Product Development, and AI Training & Enablement.

• Oversee the comprehensive portfolio of AI initiatives across the organization, ensuring consistency, prioritization, and implementation across internal enablement, platform/IP development, client delivery, and market positioning.

• Establish the standards for "excellence" in AI delivery at Livefront, including playbooks, reference architectures, evaluation methods, governance, security posture, and operational benchmarks.

• Recruit, mentor, and cultivate a team of AI leaders and practitioners; create career pathways and elevate the technical standards throughout the organization.

• Assist Livefront in enhancing all service lines (Digital Strategy & Product, Data & Analytics, Experience Design, Software Engineering, Data & Analytics) to more effectively utilize AI.

• Monitor the market trends in AI—platforms, models, tools, regulations, and emerging patterns—and convert that insight into unique, differentiated offerings for clients.

• Collaborate with Livefront leadership to refine our go-to-market strategy for AI services: positioning, packaging, sales enablement, pursuit strategy, and thought leadership.

• Develop and manage strategic partnerships with AI frontier labs (e.g., OpenAI, Anthropic), data platforms (e.g., Databricks, Snowflake), and cloud service providers (e.g., AWS, Microsoft).

⛳️ Requirements

• Extensive experience in building and delivering modern software systems, with in-depth knowledge of agentic systems, LLMs, and contemporary AI architectures.

• A solid foundation in architecture and systems thinking, incorporating APIs, data pipelines, cloud infrastructure, deployment, observability, and security.

• Credibility across various disciplines: data engineering/analytics, product strategy, and experience design as they relate to AI product development.

• Proven ability to establish and grow a practice (or a strong trajectory as a high-performing leader poised for broader practice ownership).

• Demonstrated responsibility for both delivery and market outcomes.

• Experience in implementing new operational methodologies across an organization.

• Strong client engagement skills: capable of leading executive discussions, quickly building trust, managing expectations, and translating complex concepts into clear business value.

• Exceptional communication abilities, with the capacity to present and advocate for technical and architectural decisions convincingly.

• A keen awareness of security and risk: adept at anticipating potential failures and incorporating responsible safeguards into solutions.

• Above-average discipline, personal organization, and the capability to create clarity in uncertain situations.

🏝️ Benefits

• Incentive plan