Solutions Architect - AI
About the role
The Solutions Architect - AI role is a strategic, client-facing position responsible for guiding organizations in shaping their technology landscape, with a focus on enterprise architecture, AI strategy, and scalable digital product development. The role involves advising clients on technology and AI adoption, leading architecture assessments, and ensuring secure, ethical, and value-driven AI solutions. Internally, the position is responsible for designing, governing, and scaling enterprise-grade AI and GenAI solutions, collaborating with various stakeholders, and driving performance and compliance across AI systems. Candidates should have strong experience in enterprise architecture, AI, and cloud platforms, with a proven ability to engage senior stakeholders and lead technical teams.
Must have
- Strong experience in enterprise architecture and digital advisory
- Expertise in AI, data platforms, and modern application ecosystems
- Proven ability to engage and influence senior client stakeholders
- Experience supporting consulting engagements, solution architecture, and innovation initiatives
- TOGAF qualification and/or experience using it in enterprise-grade solutions
- Define responsible AI, ethics, and risk mitigation strategies
- Ensure data privacy, security, and regulatory compliance
- Establish model validation, monitoring, and audit mechanisms
- Act as the AI technical authority across initiatives
- Mentor architects, engineers, and data scientists
- Partner with business leaders to translate use cases into AI solutions
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 8+ years of experience in software/data architecture
- 3+ years designing and deploying AI/ML solutions at scale
- Strong understanding of cloud platforms and enterprise systems
Nice to have
- Experience with GenAI, LLM frameworks, and agentic architectures
- Azure AI / Azure OpenAI hands-on experience
- Industry certifications in cloud or AI architecture
Technologies
- Agentic AI
- AWS
- Azure
- Deep Learning
- Event-Driven Architecture
- GCP
- Generative AI
- LLM
- LLMOps
- Machine Learning
- Microservices
- MLOps
- OpenAI
- Prompt Engineering
- RAG
- Responsible AI
- Vector Databases
Highlights
The role requires a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Candidates should have at least 8 years of experience in software/data architecture and 3+ years designing and deploying AI/ML solutions at scale. TOGAF qualification or experience is required. Preferred skills include experience with GenAI, LLM frameworks, agentic architectures, and Azure AI/OpenAI. The company, Fortude, is an equal opportunity employer.