Lead AI Architect

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $140k - $210k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Infinitive

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🔒 Cybersecurity

Consulting • Marketing • Cybersecurity

Infinitive is a transformation and technology consultancy that enables global brands to achieve remarkable results through insights, innovation, and efficiency. With expertise spanning marketing and advertising solutions, digital transformation, analytics, and cloud governance, Infinitive tailors its approach to match client cultures and drive the successful adoption of new capabilities. The company has garnered recognition for its strong workplace culture and capability to deliver a high return on investment.

📋 Description

• Design, build, and continuously refine Infinitive’s enterprise AI Factory ecosystem • Enable rapid legacy-to-modern code conversions and automated data engineering workflows • Formulate system prompts, structured project instructions, rule sets, and operational guardrails for Claude Code and related AI coding agents • Develop, standardize, and maintain modular conversion templates for technical archetypes • Architect automated validation frameworks and reconciliation test harnesses to verify data integrity, schema consistency, and business logic parity • Integrate static analysis, linters, and architectural pattern-checking pipelines into enterprise CI/CD workflows • Write production-grade Python, PySpark, and advanced SQL for data pipelines, lakehouse architectures, and distributed computing tasks • Design and tune Databricks lakehouse solutions for performance, security, and cost efficiency • Establish policies, risk controls, and quality gates for code synthesis, data security, intellectual property safety, and prompt governance • Define, track, and report metrics for engineering acceleration, developer velocity, cycle time reductions, defect rates, and ROI • Mentor technical leads, data engineers, and consulting delivery teams adopting AI-assisted development tools

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline • Databricks Certified certification strongly preferred (Databricks Certified Data Engineer Professional, Solutions Architect, or Machine Learning Professional) • 7+ years of progressive experience in data architecture, software engineering, or technical delivery • At least 2+ years architecting or scaling modern AI/LLM-assisted engineering workflows • Expert proficiency in Python, PySpark, and SQL • Deep hands-on experience structuring repository instructions, system prompts, guardrails, and context windows for developer tools like Claude Code, GitHub Copilot, or similar agentic coding environments • Proven track record designing scalable architectures on Databricks alongside AWS or Azure environments • Strong background designing CI/CD pipelines with automated testing, linting, and data reconciliation suites • Experience with GitHub Actions, GitLab CI, or Azure DevOps • Exceptional communication skills and ability to articulate AI governance frameworks, architectural patterns, and productivity impact metrics to executive stakeholders and technical teams • Preferred: experience architecting migration pipelines converting legacy data platforms such as Netezza, Teradata, Oracle, Informatica, or SSIS to Databricks Lakehouse • Preferred: working knowledge of FinOps principles and token/compute cost attribution for large-scale AI workloads • Must be legally authorized to work in the US for any employer • Must be eligible to be hired by Infinitive as a full-time employee without requiring Infinitive visa sponsorship at any time during employment

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