Principal Architect - Applied AI & Machine Learning (SME)

The Principal Architect AI SME in Delivery leads architecture for large Azure programs that span applications, 
platforms, and data. You connect business goals to cloud modernization roadmaps, define architecture 
frameworks, and guide multi-team execution.

At this level, you act as an organization-wide technical leader. You set technical direction across practices, 
orchestrate cross-team discovery, keep designs aligned across multiple teams, and turn successful 
patterns into reusable models. You promote strong engineering, automation, and AI-assisted practices, 
mentor Senior Architects and Delivery Architects, and help build an inclusive, continuously improving 
engineering culture while supporting clear investment and modernization decisions for 3Cloud and our 
clients.

Responsibilities:
Solution Architecture and Technical Leadership
• Lead architecture and technical strategy for large Azure programs and portfolios so solutions meet 
client goals for value, security, scalability, reliability, performance, and cost. 
• Define modernization blueprints and reference architectures across applications, platforms, and data, 
including system and subsystem designs, patterns, and standards that simplify delivery and 
operations over time. 
• Translate business and product strategy into cloud architecture roadmaps and execution plans that 
drive measurable outcomes and adapt based on production feedback and telemetry. 
• Guide major architecture decisions across programs, promote shared design standards and reusable 
models, and resolve high-impact technical trade-offs. 
• Work across teams to connect solutions into cohesive end-to-end architectures with clear ownership 
boundaries and integration contracts. 
• Provide architectural oversight during delivery through design reviews, forums, and governance, 
keeping cross-cutting concerns (security, performance, resilience, availability, compliance, 
observability, and cost) aligned across teams. 
• Promote modular design, clear boundaries, testability, CI/CD, and observability so non-functional 
requirements are treated as first-class and systems remain reliable and maintainable. 
• Use AI tools to accelerate discovery, design, code, tests, documentation, and analysis, and scale 
successful practices so teams adopt them consistently.
Delivery and Consulting Excellence
• Lead or co-lead executive and senior stakeholder conversations on cloud modernization, platform 
strategy, AI adoption, and program roadmaps. 
• Use structured problem solving to clarify scope, dependencies, risks, and trade-offs, and shape 
delivery plans that balance value, cost, speed, and long-term system health. 
• Set discovery strategy so program objectives flow into a clear, traceable backlog tied to architecture 
and business outcomes. 
• Explain complex architecture and modernization strategies in clear language for executives, business 
leaders, and technical teams, including options, trade-offs, and recommendations. 
• Build trusted relationships with technology and business leaders, influencing priorities and investment 
decisions in ways that help mature their engineering and architecture practices. 
• Run structured decision-making forums (such as architecture reviews or steering committees) that 
produce clear decisions, documented rationale, and actionable next steps. 
• Define architecture, discovery, and delivery frameworks and working agreements that support 
predictable, incremental delivery across multiple teams and time zones, including cadences, artifacts, 
escalation paths, and hybrid delivery guidelines. 
• Align teams on shared outcomes, APIs, integration contracts, and operating models, ensuring crossteam dependencies are identified early, owned, and tracked through to completion. 
• Support effective use of Agile methods at program scale so architecture, backlogs, and release plans 
support meaningful increments, stable team velocity, low defect escape, clear definitions of done, and 
course corrections based on telemetry and feedback. 
• Track risks, technical debt, quality trends, and architectural drift across teams, and recommend 
adjustments that keep programs on track while balancing short-term delivery needs with long-term 
system health. 
• Support cross-practice opportunity qualification and estimating using playbooks, benchmarks, and 
templates so the organization focuses on high-fit pursuits and improves proposal quality and 
confidence in value, risk, and margin.
Mentorship and Team Development
• Mentor Senior Architects, Delivery Architects, and senior engineers, helping them grow systems 
thinking, architectural judgment, cross-team awareness, and their ability to lead multi-team initiatives. 
• Provide architectural oversight across programs, modeling pragmatic decision-making, including 
when to keep solutions simple, when to standardize, when to extend patterns, and when to introduce 
new technologies. 
• Help shape career paths and development plans for architects by clarifying expectations for operating 
at program scale and providing concrete examples of what “good” looks like. 
• Create and maintain high-leverage learning assets—such as reference implementations, architecture 
decision records, playbooks, and mentoring guides—that accelerate onboarding and skill growth. 
• Support hiring, calibration, and talent development by defining interview standards, participating in 
senior-level interviews and promotion reviews, and training others to apply those standards 
consistently. 
• Set a high bar for executive-ready communication and storytelling, and coach others so their 
narratives support clear decisions and strengthen client trust. 
• Help build a culture of psychological safety, inclusion, constructive feedback, and continuous 
improvement within and across teams, and support new ways of working that endure beyond a single 
project.

Growth and Innovation:
• Grow the company by identifying opportunities within your accounts across all our capabilities and 
pursuing them with the support of the account team.
• Intentionally build executive relationships within accounts to expand our partnership and create 
opportunities to provide strategic value.
• Drive sales opportunities by participating in pursuit teams as either the Pursuit Lead or Technical 
Solution Lead.
• Partner with sales, account, and practice leaders to shape technical strategy for strategic pursuits, 
projects and/or programs.
• Lead the creation of solution options, program-level architectures, and estimates, clearly documenting 
assumptions, dependencies, and risks and explaining how proposed approaches drive business 
value and reduce risk. 
• Operate as a senior technical advisor whose guidance shapes multi-track initiatives and supports 
long-term account growth. 
• Identify follow-on and adjacent opportunities—such as platform extensions, additional modernization 
waves, AI-enabled capabilities, or data estate modernization—that align with client strategies and 
3Cloud’s strengths. 
• Define and evolve reusable assets—such as reference architectures, modernization playbooks, 
landing zone templates, workshops, accelerators, and starter repositories—that become standard 
patterns for delivery teams and reduce cycle time and rework while honoring architectural and nonfunctional requirements. 
• Champion adoption of modern frameworks, cloud platform capabilities, automation practices, and AIassisted tools in a responsible and secure way, using pilots and experiments with clear success 
criteria to turn innovation into stable, repeatable practice. 
• Contribute to internal cross-practice initiatives that share patterns and lessons from large programs 
and reinforce our credibility with clients and partners. 
• Shape enablement programs that grow capabilities and reusable assets across accounts and 
package applied innovation into offerings and assets used in delivery and pursuits. 

Requirements:
• 12+ years of experience delivering solutions in a primary domain such as application development, 
cloud platform engineering, DevOps, or data and analytics, including significant work at enterprise 
scale. 
• 7+ years of experience in solution architecture and leading development or engineering teams, 
including multi-team or multi-workstream efforts at program scale. 
• Ten or more years of relevant experience with a demonstrated ability to set vision and lead 
enterprise-wide AI/ML adoption strategies.
• Thought leadership and deep expertise across several of the following: 
• Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to 
design intelligent workflows; applying tool/function calling, planner and agent-based patterns, and 
workflow automation engines.
• Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, 
Pinecone, FAISS, or Milvus; applying hybrid search methods, re-ranking strategies, and selecting 
embedding models for accuracy and performance.
• Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches; 
using golden datasets, hallucination and groundedness validation, toxicity and safety testing; 
building telemetry and feedback loops; managing monitoring, deployment pipelines, and ongoing 
optimization of large language models.
• Responsible AI, Security & Privacy – incorporating practices such as threat modeling, privacy 
reviews, data minimization, safety guardrails, policy enforcement, auditability, and model risk 
management in line with GDPR and organizational standards.
• AI Platforms & Data Foundations – applying hands-on experience with Azure AI services, 
Databricks, Azure OpenAI, and related modern data platforms.
• Cloud Engineering – designing with APIs, containers, microservices, and DevOps pipelines to 
deliver scalable, cloud-native solutions.
• Data Integration & Governance – developing and managing data pipelines; applying quality 
controls, metadata practices, and master data management approaches.
• Analytics & Visualization – delivering insights with Power BI and other visualization tools.
• Proven ability to integrate emerging AI frameworks into enterprise-ready solutions.
• Expertise with modern development tools (e.g., GitHub Copilot, Cursor).
• Knowledge of analytics and data science tools, frameworks, and advanced techniques.
• Relevant Azure or Databricks certifications in AI, Data, or Architecture.
• Proven experience leading architecture and delivery for Azure-based modernization, transformation, 
AI, or platform programs at enterprise scale. 
• Experience defining solution and platform architectures that connect business strategy with scalable 
technical design, strong delivery practices, and measurable outcomes. 
• Experience leading hybrid and remote teams and working with multiple stakeholders across time 
zones while maintaining alignment, quality, and predictable delivery. 
• Deep understanding of core concepts, languages, frameworks, and design patterns in a primary 
domain, with the ability to apply them at system and program scale. 
• Experience designing and integrating quality, automation, and observability practices at scale, 
including automated testing strategies and embedding quality checks into delivery workflows. 
• Experience using AI-augmented development and integrating AI and machine learning capabilities 
into solutions (for example, using APIs, frameworks, or cloud-based AI services and tools for code, 
test, and documentation acceleration). 
• Significant experience working in Agile or Scrum environments at scale, including backlog structuring, 
dependency management, integration planning, and release management. 
• Proven success in consulting or professional services, including client-facing leadership and 
executive engagement. 
• Familiarity with key Azure services used in modern solutions that are relevant to your domain (for 
example, messaging, compute, data, security, networking, management, and integration services). 
• Strong analytical and problem-solving skills, with strong presentation, written, and verbal 
communication skills for both technical and business audiences. 
• Commitment to continuous learning in cloud, data, and AI, with the ability to turn that learning into 
practical improvements for teams and clients. 
• Ability to foster culture, inclusion, and community participation across the organization in ways that 
support rapid cross-team collaboration. 
• Relevant cloud architecture certifications (for example, Azure-focused architect certifications or 
comparable role-based certifications) are strongly preferred.

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