Lead AI Architect

Job Description

Job Description

Position Overview

We are seeking a highly collaborative and strategic AI Specialist to spearhead the implementation of a company-wide AI Acceleration program for one of our clients.  In this high-impact role within the organization, your primary mandate is to transform how the product portfolios operate.

You will operate at the intersection of strategy, operations, and applied AI — helping clients move from experimentation to measurable business impact. 

Instead of allowing AI-assisted product discovery to happen in isolated pockets, it is required to scale and standardize a shared approach that empowers all product teams to build functional, working prototypes using modern AI utilities. This role sits at the intersection of AI/ML innovation, process optimization, rapid prototyping, and cross-department collaboration — ensuring that AI-first solutions are discovered, validated, and iterated to deliver clear, quantifiable value aligned with Sequoia's mission to redefine the client experience through data-driven insights and innovative technology. 

Key Responsibilities

AI Prototyping & Portfolio Partnering

• High-Fidelity MVP Development: Partner directly with Product Managers across primary portfolios to rapidly develop functional, data-interactivity prototypes using modern AI environments (e.g., Claude Code, Cursor, v0, Lovable).
• Strategy & Discovery Validation: Guide product teams in using active, running prototypes to stress-test business requirements and validate features before handing product requirements over to engineering.
• Sourcing & Data Integration: Collaborate with technical leads to map and verify data accessibility pipelines, ensuring prototyping sandboxes safely read and mirror enterprise benchmarking datasets 
• Collaborate closely with technical, product, and data teams to move solutions from pilot to scaled deployment.

Enable Adoption & Change

• Help organizations adopt new AI-enabled ways of working through training, change management, and stakeholder engagement
• Educate business teams on how to effectively and responsibly leverage AI tools and solutions
• Develop documentation, playbooks, and best practices to support scalable adoption
• Partner with legal, risk, and compliance stakeholders to support responsible AI implementation

Qualifications

• 4–7 years of experience in consulting, business transformation, product, operations, program delivery, or technology-related roles
• Bachelor’s degree required
• Experience supporting digital, data, automation, or AI-related initiatives in a consulting or enterprise environment

• Prototyping Tool Mastery: Expert-level capability with modern AI-native development environments, component builders, and code generation platforms (Claude Code, Cursor, v0, Lovable).
• AI & Data Foundations: Solid understanding generative AI concepts, including LLMs, AI agents, copilots, automation workflows, and enterprise AI adoption challenges and structural enterprise data concepts (SQL, data cleansing, and mapping variables).
• Product Development Lifecycle: Exhaustive familiarity with standard Agile product discovery frameworks, user persona validation, and user experience design principles.
• Cross-Functional Diplomacy: Exceptional interpersonal and relationship management capabilities, with a history of bridging gaps between corporate leadership and engineering teams.
• Outcome-Centric Philosophy: A rigorous product-first mentality focused on translating technological capabilities into quantifiable, high-impact business results.
• Innovation Curiosity: Persistent fascination with the evolving AI landscape and a proactive drive toward rapid experimentation and continuous skill acquisition.

Preferred Qualifications: 

• Process Transformation exposure: Familiarity with Agile delivery frameworks or large-scale digital modernization initiatives is preferred.
• Systemic Integration Expertise: Prior exposure to large-scale enterprise architectures, including CRM environments, data infrastructure, and complex operational pipelines, is highly valued.

Behavioral & Leadership Competencies

• Technical Translation: Exceptional ability to translate non-technical business requirements and high-level product strategies into clear technical prompts and working application structures.
• Change Management Capability: Proven skill in overcoming internal organizational resistance, coaching diverse teams, and building a culture of technological adoption.
• Strategic Problem Solving: A focus on metric-driven outcomes, ensuring that AI tooling is treated as a practical vehicle for business efficiency rather than an open-ended experimentation sandbox.

Why Join Us

• Engage in high-impact AI modernization efforts across diverse industrial landscapes.
• Bridge functional gaps by partnering with strategy, product, data, and engineering stakeholders.
• Define the standards for ethical, responsible, and effective enterprise AI implementation.
• Acquire premier experience at the critical intersection of applied technology and business strategy.

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