As an AI Product Engineering Principal Architect, you are the senior technical leader responsible for driving the design, delivery, and execution of complex, enterprise-grade AI solutions. You will lead teams of architects and engineers in building advanced AI systems-spanning generative AI, intelligent agents, data platforms, and cloud-native applications-while shaping the broader direction of 3Cloud’s AI Product Engineering practice. You combine deep, hands-on technical expertise with strong leadership skills, enabling you to mentor technical teams, remove architectural barriers, and ensure successful delivery of highly complex AI programs. You are a trusted advisor to C-level stakeholders and a driver of innovation, ensuring that 3Cloud delivers scalable, secure, and high-impact AI solutions across industries., * Technical Strategy & Solution Delivery

• 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.
• Client Engagement & Technical Leadership
• 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.
• Program Leadership & Delivery Management
• 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.
• Practice Leadership & Mentorship
• 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.

• 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.
• Enterprise Transformation & Program Leadership
• 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
• Designing intelligent agent workflows using frameworks such as Semantic Kernel or LangChain; implementing tool/function calling with planning and orchestration patterns. Search & Retrieval
• Architecting solutions using vector databases, hybrid search, and RAG optimization techniques. LLM Evaluation, Quality & Operations
• Building evaluation pipelines, golden datasets, quality gates, telemetry, feedback loops, and guardrails to support reliable LLM deployment.
• Responsible AI, Security & Compliance
• Applying AI governance, safety, risk mitigation, and privacy controls across enterprise AI solutions.
• AI Platforms & Data Foundations
• Hands-on experience with Azure AI, Azure OpenAI, Databricks, ML/data pipelines, event-driven architectures, and scalable data systems.
• Cloud Engineering
• Expertise in API-driven, microservices-based, and containerized architectures on Azure. Deep familiarity with DevOps, CI/CD, IaC, and Microsoft development ecosystems (C#, .NET, Azure Functions, etc.).
• Data Integration & Governance
• Experience building robust ETL/ELT systems with strong data quality and metadata governance practices.
• Analytics & Visualization
• Ability to integrate analytics and ML outputs into enterprise applications and BI environments.
• Innovation & Adaptability
• Continuously explores emerging AI technologies and can rapidly convert them into enterprise ready, technically sound solutions.
• Tools & Methodologies
• Strong proficiency with modern development workflows, DevOps practices, GitHub, and AI assisted coding tools.
• Comfortable working in Agile environments and driving iterative delivery.
• Strategic Vision & Business Acumen
• Ability to align technical architecture with business outcomes; capable of influencing and shaping long-term strategies.
• Thought Leadership & IP Development
• Recognized for contributing to the AI ecosystem (articles, talks, OSS, frameworks, accelerators).
• Experience building reusable IP adopted across teams or practices.
• Certifications
• Azure Solutions Architect, Azure AI Engineer, Databricks certifications, or other relevant cloud/AI credentials are highly valued.

LI-REMOTE

Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.