AI SME – Applied AI, Machine Learning

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the architectural design and technical strategy for extensive Azure programs and portfolios.

• Develop modernization frameworks and reference architectures across applications, platforms, and data.

• Transform business and product strategies into actionable cloud architecture roadmaps and execution plans.

• Provide guidance on significant architectural decisions, shared design standards, reusable models, and technical trade-offs.

• Integrate solutions into cohesive end-to-end architectures with defined ownership and integration contracts.

• Oversee architectural processes through design reviews, forums, and governance activities.

• Advocate for modular design, testability, CI/CD, observability, automation, and AI-assisted methodologies.

• Facilitate discussions with executives and senior stakeholders regarding cloud modernization, platform strategies, AI adoption, and program roadmaps.

• Establish discovery strategies and align backlogs with architectural and business objectives.

• Conduct architecture reviews and steering committees that yield documented decisions and actionable next steps.

• Define architecture, discovery, and delivery frameworks to ensure predictable incremental delivery across teams and time zones.

• Monitor risks, technical debt, quality trends, and architectural drift.

• Assist in opportunity qualification, estimation, strategic pursuits, and proposal development.

• Mentor Senior Architects, Delivery Architects, and senior engineers.

• Shape career trajectories, development plans, learning resources, interview standards, and promotion reviews.

• Cultivate a culture of psychological safety, inclusivity, constructive feedback, and continuous improvement.

• Identify account opportunities and foster executive relationships.

• Lead pursuit teams and define technical strategies for strategic pursuits, projects, and programs.

• Develop solution options, program-level architectures, estimates, reusable assets, playbooks, templates, and accelerators.

• Promote modern frameworks, cloud capabilities, automation, and responsible AI-assisted tools.

⛳️ Requirements

• Over 12 years of experience in delivering solutions in application development, cloud platform engineering, DevOps, or data and analytics at an enterprise scale.

• More than 7 years of experience in solution architecture and leading development or engineering teams.

• At least 10 years of relevant experience in setting vision and leading enterprise-wide AI/ML adoption strategies.

• Profound expertise in various domains including agents and orchestration, search and retrieval, LLM operations, responsible AI, AI platforms, cloud engineering, data integration, governance, analytics, and visualization.

• Familiarity with Semantic Kernel, LangChain, or similar agent frameworks.

• Knowledge of Azure AI Search, Pinecone, FAISS, Milvus, hybrid search, re-ranking, and embedding models.

• Experience with evaluation frameworks, golden datasets, hallucination and groundedness validation, safety testing, telemetry, monitoring, deployment pipelines, and LLM optimization.

• Understanding of threat modeling, privacy reviews, data minimization, safety guardrails, policy enforcement, auditability, model risk management, and GDPR.

• Practical experience with Azure AI services, Databricks, Azure OpenAI, APIs, containers, microservices, and DevOps pipelines.

• Experience in developing data pipelines, quality controls, metadata practices, and master data management strategies.

• Proficient in delivering insights using Power BI and other visualization tools.

• Demonstrated ability to integrate emerging AI frameworks into enterprise-ready solutions.

• Expertise with modern development tools such as GitHub Copilot and Cursor.

• Knowledge of analytics and data science tools, frameworks, and advanced techniques.

• Relevant Azure or Databricks certifications in AI, Data, or Architecture.

• Experience in leading Azure-based modernization, transformation, AI, or platform programs at an enterprise scale.

• Experience defining solution and platform architectures that align business strategy with scalable technical designs and measurable outcomes.

• Capable of leading hybrid and remote teams across different time zones.

• In-depth understanding of core concepts, languages, frameworks, and design patterns within a primary domain.

• Experience with designing quality, automation, observability, and automated testing practices at scale.

• Proficient in using AI-augmented development and integrating AI/ML capabilities into solutions.

• Extensive experience in Agile or Scrum environments at scale.

• Proven track record in consulting or professional services, including client-facing leadership and executive engagement.

• Familiarity with key Azure services pertinent to the candidate’s area of expertise.

• Strong analytical, problem-solving, presentation, written, and verbal communication skills.

• Dedicated to continuous learning in cloud, data, and AI.

• Ability to foster culture, inclusivity, and community engagement.

• Relevant cloud architecture certifications are highly desirable.

• Applicants must not require employer-sponsored work visas, as 3Cloud is unable to sponsor applicants for work visas.

🏝️ Benefits

• Flexible work location prioritizing a virtual-first approach.

• 401(K) with a match of up to 50% on your 6% contributions of eligible pay.

• A minimum of 15 days of paid time off (PTO).

• 9 paid company holidays.

• 2 floating personal days.

• Two options for medical plans.

• Availability of vision and dental coverage.

• 100% employer-paid coverage for life and disability insurance.

• Paid leave for both birth parents and non-birth parents.

• Option for Healthcare FSA, HSA, and Dependent Care FSA.

• Monthly technology and home office allowance of $67.00.

• Eligibility for utilization and/or discretionary bonuses based on role.

• Employee Assistance Program.