- Company Name
- Cognitive Group | Part of the Focus Cloud Group
- Job Title
- AI Architect
- Job Description
-
**Job Title**
AI Architect
**Role Summary**
Design and architect enterprise‑grade AI solutions that integrate Microsoft Power Platform, Copilot, Azure AI, OpenAI models, and agentic AI tooling. Lead strategy discussions with senior stakeholders, mentor development teams, and establish best practices for scalable, secure, and future‑ready AI architectures.
**Expectations**
- Lead AI solution design and strategic discussions.
- Translate complex business challenges into intelligent, scalable architectures.
- Mentor cross‑functional teams and instill best practices in AI, automation, and cloud deployment.
- Keep abreast of Microsoft and AI roadmaps, ensuring client solutions leverage the latest capabilities.
- Secure SC clearance or demonstrate eligibility for security clearance.
**Key Responsibilities**
1. Architect end‑to‑end AI platforms combining Power Platform, Copilot, Azure AI, OpenAI, and agentic AI.
2. Translate business requirements into technical blueprints, user stories, and deployment plans.
3. Conduct design reviews, workshops, and stakeholder presentations to shape enterprise AI strategy.
4. Mentor engineering teams on architecture patterns, coding standards, and cloud‑native AI best practices.
5. Maintain a deep understanding of Microsoft and third‑party AI roadmaps, tools, and frameworks.
6. Ensure solutions meet security, compliance, and scalability standards at enterprise level.
**Required Skills**
- Azure Cloud & Azure AI services (Azure Machine Learning, Cognitive Services).
- Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents).
- OpenAI API integration and generative AI model deployment.
- Copilot and agentic AI technology.
- AI/ML architecture design, data engineering, and solution integration.
- Strong understanding of cloud security, IAM, and compliance.
- Excellent communication, stakeholder influence, and team mentorship.
- Agile development practices and CI/CD for AI solutions.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Microsoft Certified: Azure Architect Design or equivalent.
- Azure AI Engineer Associate / Azure Data Scientist Associate preferred.
- SC clearance or eligibility for security clearance required.