3Cloud Logo

3Cloud

Principal Architect - AI Product Engineering

Posted 9 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
158K-217K Annually
Expert/Leader
Remote
Hiring Remotely in United States
158K-217K Annually
Expert/Leader
Lead architecture and delivery of enterprise AI systems (generative AI, agents, data platforms) across cloud-native environments. Define reference architectures, mentor teams, advise executives, ensure MLOps/LLMOps, security, scalability, and drive AI practice innovation and reuse across engagements.
The summary above was generated by AI

Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you!

At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other.

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.

Responsibilities
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.

Requirements
Education & Experience
• 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 enterpriseready, technically sound solutions.

Tools & Methodologies
• Strong proficiency with modern development workflows, DevOps practices, GitHub, and AIassisted 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.

Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.

At this time, we cannot sponsor applicants for work visas.

This Job Posting will expire on Monday, July 13th, 2026.  

 

3Cloud Total Rewards Highlights Include:  

  • 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 Care FSA
  • $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

3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range.

Base Salary Range
$158,200$217,300 USD

Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.

At this time, we cannot sponsor applicants for work visas.

Similar Jobs

53 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
196K-245K Annually
Senior level
196K-245K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead the enterprise data platform strategy and architecture, driving Snowflake/dbt-based platform evolution, self-service Data Mesh and medallion models. Build AI-ready pipelines, RAG systems, and observability/cost frameworks while managing a central data team, supporting federated BI, and executing hands-on technical work.
Top Skills: AiopsAutomated TestingCi/CdCortexData MeshDbtGitGraph RagMatillion Data Productivity Cloud (Matillion Dpc)Medallion ArchitecturePythonRetrieval-Augmented Generation (Rag)SnowflakeSnowparkSQLStreamlit
57 Minutes Ago
Remote or Hybrid
121K-205K Annually
Senior level
121K-205K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Design and develop FPGA systems using VHDL and vendor toolchains. Create testbenches and perform simulation with QuestaSim, perform lab verification and debugging, manage configurations with Git, provide architectural input, and mentor/lead a team of engineers on communications-related FPGA projects.
Top Skills: GitIntel QuartusLinuxMentor Graphics QuestasimVhdlWindowsXilinx Vivado
57 Minutes Ago
Remote or Hybrid
133K-226K Annually
Senior level
133K-226K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Lead and deliver enterprise-scale IT projects (infrastructure modernization, cloud migration, cybersecurity, compliance) across the project lifecycle. Manage schedules, EVM, budgets, vendors, resources, risks, stakeholder engagement, change management, and benefits realization. Drive agile execution and executive communications.
Top Skills: AgileCloud MigrationEarned Value Management (Evm)ExcelMicrosoft ProjectPowerPointServicenow SpmWord

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account