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 the development of scalable digital products and platforms. The role involves advising clients on technology and AI adoption, leading architecture assessments, and ensuring secure, ethical, and value-driven AI solutions. Internally, the role is responsible for designing, governing, and scaling enterprise-grade AI and GenAI solutions, collaborating with various stakeholders, and driving innovation and best practices across the organization.
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
- Machine Learning, Deep Learning, Generative AI, LLMs
- Model orchestration, prompt engineering, RAG, vector databases
- Cloud AI services (Azure AI, Azure OpenAI, AWS, GCP)
- MLOps / LLMOps pipelines and monitoring
- APIs, microservices, containers, and event-driven architectures
- 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 employer is Fortude, an equal opportunity organization. The role requires 8+ years of experience in software/data architecture and 3+ years designing and deploying AI/ML solutions at scale. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required. TOGAF qualification and/or experience is also required. The company values diversity and encourages applicants from all backgrounds.
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