Note: The job is a remote job and is open to candidates in USA. 3Cloud is a company that values experimentation and teamwork, seeking a Principal Architect for AI Product Engineering. In this role, you will lead the design and delivery of complex enterprise-grade AI solutions, guiding teams and advising stakeholders to ensure successful implementation and innovation.
Responsibilities
- Lead cross-functional engineering and architecture teams in the end-to-end delivery of complex AI systems, ensuring technical excellence and delivery quality
- Define and enforce reference architectures, technical patterns, delivery standards, and accelerators for enterprise AI adoption (leveraging Azure capabilities where appropriate)
- Provide senior-level architectural oversight on programs, guiding the design of advanced, distributed, AI-powered applications across multi-system enterprise environments
- Drive the integration of modern AI capabilities—such as generative AI, intelligent/agentic systems, and Model Context Protocol (MCP)—into production-ready software
- Champion best practices for performance, scalability, reliability, observability, and MLOps/LLMOps across all AI delivery engagements
- Serve as a trusted technical advisor to executive stakeholders (CIO, CTO, CDO), helping them define enterprise AI strategies and prioritize high-value opportunities
- Lead technical workshops, architecture reviews, and visioning sessions to align solution direction with business outcomes
- Represent 3Cloud’s technical leadership in client engagements, partner discussions, and industry events, effectively communicating complex AI and engineering concepts
- Oversee a portfolio of large-scale AI delivery programs, ensuring architectural integrity, risk mitigation, and alignment with client strategy
- Provide proactive technical guidance to remove delivery blockers, solve architectural challenges, and ensure teams are building scalable and secure solutions
- Shape the technical direction of sales pursuits, proposals, and multi-year roadmap engagements through expert-level architectural insight
- Mentor senior architects, tech leads, and engineers, raising the overall technical bar of the practice
- Define and expand internal frameworks, reusable components, delivery IP, and reference architectures to improve quality and speed across AI engagements
- Contribute to thought leadership through whitepapers, conference speaking, open-source contributions, and community involvement
- Intentionally evangelize AI Product Engineering capabilities and opportunities across the company and projects to promote awareness and consideration in cross-practice opportunities and proposals
Skills
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 12+ years in software engineering or application development, with 5+ years in architecture leadership roles delivering enterprise-scale systems
- Proven experience leading teams in delivering complex, cloud-native, AI-driven applications from concept to production
- Extensive experience guiding large-scale modernization or AI adoption programs across multiple business units
- Demonstrated ability to build and execute technical strategies that align with enterprise business goals
- Deep expertise across several of the following areas: Agentic AI & Orchestration, Search & Retrieval, LLM Evaluation, Quality & Operations, Responsible AI, Security & Compliance, AI Platforms & Data Foundations, Cloud Engineering, Data Integration & Governance, Analytics & Visualization, Innovation & Adaptability, Tools & Methodologies, Strategic Vision & Business Acumen, Thought Leadership & IP Development
- Strong proficiency with modern development workflows, DevOps practices, GitHub, and AI-assisted coding tools
- Comfortable working in Agile environments and driving iterative delivery
- Ability to align technical architecture with business outcomes; capable of influencing and shaping long-term strategies
- Recognized for contributing to the AI ecosystem (articles, talks, OSS, frameworks, accelerators)
- Experience building reusable IP adopted across teams or practices
- Azure Solutions Architect, Azure AI Engineer, Databricks certifications, or other relevant cloud/AI credentials are highly valued
Benefits
- Flexible work location with a virtual first approach to work!
- 401(K) with match up to 50% of your 6% contributions of eligible pay
- Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
- Two medical plan options to allow you the choice to elect what works best for you!
- Option for vision and dental coverage
- 100% employer paid coverage for life and disability insurance
- Paid leave for birth parents and non-birth parents
- Option for Healthcare FSA, HSA, and Dependent CareFSA
- $67.00 monthly tech and home office allowance
- Utilization and/or discretionary bonus eligibility based on role
- Employee Assistance Program to help with everyday challenges
Company Overview