Principal Consultant, Artificial Intelligence (AI) (Remote - US)

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

We are seeking a Principal Consultant to join our Data & AI practice and lead engagements from client discovery and value identification through use case portfolio development, ROI prioritization, and end‑to‑end solution architecture. This role also owns the design and establishment of AI Centers of Excellence (CoEs) for clients, ensuring AI adoption is governed, scalable, and aligned to business outcomes. 
 
This is a client‑facing, consultative role that sits at the intersection of executive strategy, applied AI engineering, and enterprise architecture. The Principal Consultant - AI must be equally comfortable whiteboarding with engineers, stress‑testing ROI with business leaders, and advising C‑suite executives on AI operating models and risk.

Key Responsibilities
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, and operational pain areas. 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 and success metrics. Technical feasibility, data dependencies, and delivery complexity. Build a use case portfolio and put each use case through an ROI stress test, prioritizing: Measurable business impact Feasibility and risk 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 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 ensure architectural intent translates 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 Operating models for scaling AI across the organization Help clients move from ad ‑ hoc AI experimentation to repeatable, enterprise ‑ grade AI delivery. 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, including: Microsoft Foundry, other Azure AI services including Azure Machine Learning Microsoft Fabric and related analytics patterns Copilot Studio and modern agent ‑ based AI approaches Comfortable architecting solutions on or translating architectures across: AWS Google Cloud Platform (GCP) While Microsoft Azure is the primary stack, the role requires credible multicloud fluency. 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, and operational pain areas. 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 and success metrics. Technical feasibility, data dependencies, and delivery complexity. Build a use case portfolio and put each use case through an ROI stress test, prioritizing: Measurable business impact Feasibility and risk 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 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 ensure architectural intent translates 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 Operating models for scaling AI across the organization Help clients move from ad ‑ hoc AI experimentation to repeatable, enterprise ‑ grade AI delivery. 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, including: Microsoft Foundry, other Azure AI services including Azure Machine Learning Microsoft Fabric and related analytics patterns Copilot Studio and modern agent ‑ based AI approaches Comfortable architecting solutions on or translating architectures across: AWS Google Cloud Platform (GCP) While Microsoft Azure is the primary stack, the role requires credible multicloud fluency. Data & Machine Learning Foundations Strong working knowledge of data management concepts, including: Data quality, lineage, governance, and lifecycle considerations Feature engineering and data readiness for ML Collaborate closely with internal and client data platform teams (this role does not own data platforms but must design against them). Apply a solid foundation in statistics and applied machine learning to ensure: Models are architected appropriately 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. Strong working knowledge of data management concepts, including: Data quality, lineage, governance, and lifecycle considerations Feature engineering and data readiness for ML Collaborate closely with internal and client data platform teams (this role does not own data platforms but must design against them). Apply a solid foundation in statistics and applied machine learning to ensure: Models are architected appropriately 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.

Required Qualifications
10+ years Consulting experience leading client discovery, workshops, and executive readouts. Proven experience as an AI Architect, AI Solution Architect, or equivalent role. Prior hands ‑ on experience as an AI Engineer or ML Engineer building real AI solutions of moderate to advanced complexity. Strong architecture background across cloud, security, integration, and scalability. Excellent written and spoken English.

Preferred Qualifications
Experience designing or operating AI Centers of Excellence. Multicloud experience across Azure, AWS, and GCP. Business management or business operations experience enabling strong understanding of client needs and constraints. Spanish business professional fluency.

We value our employees and are committed to providing a comprehensive and competitive benefits package designed to support your well-being and financial security. Here's what you can look forward to:

Financial Security & Growth:
 Competitive Salary: We offer competitive salaries commensurate with experience and skills.
 Generous 401(k) Plan: Secure your financial future with our generous 401(k) plan, featuring a 100% company match on your contributions up to 4% of your salary! This is a fantastic opportunity to build your retirement savings with our support.
 Performance-Based Compensation: Your hard work and dedication will be recognized and rewarded through our performance-based compensation program, which includes bonus potential in addition to your base salary.

Health & Well-being:
 100% Employer-Paid Health, Vision, and Dental Insurance for employees: Say goodbye to expensive premiums! We cover 100% of the cost of your health, vision, and dental insurance premiums, saving you potentially thousands of dollars each year. Focus on your health, not your healthcare costs.
 Company-Paid Life, AD&D, Short and Long-Term Disability Insurance: We provide company-paid life, accidental death & dismemberment, and short- and long-term disability insurance to protect you and your family.

Time Off & Work-Life Balance:
 Generous Paid Time Off (PTO): Enjoy a healthy work-life balance with three weeks of paid time off, allowing you to relax, recharge, and pursue your personal interests. This flexible PTO can be used for vacation, personal time, or sick leave.
 11 Paid Holidays: We observe 11 paid holidays throughout the year, giving you additional time to spend with family and friends.
 Community Service Leave: We believe in giving back to the community and offer paid time off for you to volunteer with organizations that are meaningful to you.

Additional Perks & Recognition:
 Employee Recognition and Reward Program: We celebrate and reward outstanding performance and contributions through our employee recognition program. We value your dedication and are committed to showing our appreciation.

This is a full-time position in the United States with the ability to work from home, or from one of our many US offices if local.
 
Atmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.