Principal Consultant - Artificial Intelligence; AI; Remote

Atmosera empowers businesses to redefine what’s possible with modern technology and human expertise. Our experience across Applications, Data & AI, Dev Ops, Security, and Microsoft Azure accelerates innovation, enhances security, and optimizes operational agility. As a Microsoft Partner with seven specializations and a member of the Git Hub Advisory Board, Atmosera delivers integrated solutions that create business value.

• Client Discovery & AI Readiness Assessment
  • Lead structured discovery sessions (in‑person and virtual) with executive stakeholders and technical SMEs to assess current state AI, data, cloud, and automation architecture, business processes, decision points, operational pain areas, and organizational readiness, governance maturity, and risk posture for AI adoption.
  • Translate ambiguous client inputs into clear, actionable findings that inform both business and technical decisions.
  • Produce discovery outputs that support executive alignment and downstream architecture decisions.
• Use Case Portfolio, ROI Stress Testing & Prioritization
  • Identify, define, and document AI use cases across business functions, including business value hypothesis, success metrics, technical feasibility, data dependencies, and delivery complexity.
  • Build a use case portfolio and conduct an ROI stress test, prioritizing measurable business impact, feasibility and risk, and time‑to‑value and scalability.
  • Create and present a priority matrix (impact × complexity × risk) and a sequenced AI adoption roadmap for executive decision making.
• AI Architecture & Solution Design
  • Own the end‑to‑end architecture and design of complex AI, machine learning, and intelligent automation solutions, including generative and agentic AI architectures, predictive and supervised ML solutions, workflow automation and orchestration, and secure integration with enterprise systems and data sources.
  • Define reference architectures, design patterns, and guardrails that ensure solutions are secure, scalable, governable, and production‑ready.
  • Collaborate closely with AI Engineers, Platform Engineers, Data, Security, and Delivery teams to translate architectural intent into successful implementation.
• AI Center of Excellence (CoE) Design & Enablement
  • Design and help establish AI Centers of Excellence for clients, including AI intake and qualification models, architecture and development standards, governance, responsible AI, and risk controls, and operating models for scaling AI across the organization.
  • Enable client teams with frameworks, artifacts, and guidance that allow the CoE to operate independently over time.
• Platform & Ecosystem Expertise
  • Deep familiarity with the Microsoft AI ecosystem (Microsoft Foundry, Azure AI services, Azure Machine Learning, Microsoft Fabric, Copilot Studio, modern agent‑based AI approaches).
  • Comfortable architecting solutions on or translating architectures across AWS, Google Cloud Platform (GCP), and other multicloud environments;
    Microsoft Azure remains the primary stack.
• Data & Machine Learning Foundations
  • Strong working knowledge of data management concepts (data quality, lineage, governance, lifecycle), feature engineering, and data readiness for ML.
  • Collaborate with internal and client data platform teams to design against data platforms without owning them.
  • Apply solid foundations in statistics and applied machine learning to ensure models are architected appropriately, and assumptions, limitations, and risks are well understood and communicated.
• Executive Communication & Consulting Leadership
  • Lead business‑level and AI‑level conversations with C‑suite and senior leadership.
  • Translate complex technical architectures into clear business narratives tied to value, risk, and outcomes.
  • Provide trusted advisory guidance on AI strategy, operating models, and investment decisions.
  • Contribute to the development of repeatable consulting offers, assessments, and delivery frameworks.

• 10+ years of consulting experience leading client discovery, workshops, and executive readouts.
• Proven experience as an AI Architect, AI Solution Architect, or equivalent role.
• Hands‑on experience as an AI Engineer…