Solution Architect
Visionary Tech Services · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
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- On site
- Full-time
- $150,000 / year
- Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Job highlights
- Design and deliver scalable AI/ML solutions.
- Bridge business needs and technical execution.
- Oversee full lifecycle from discovery to deployment.
- Collaborate with product, data, and engineering.
- Ensure security, compliance, and responsible AI.
About the role
Solution Architect AI and Data
Blackford Technologies is expanding its AI & Data Practice and is looking for a skilled Solution Architect to design and deliver scalable, secure, and production-ready AI solutions.
The ideal candidate will bridge business requirements with technical execution, ensuring optimal architecture, performance, cost efficiency, and responsible AI practices across the full lifecycle from discovery to deployment.
Responsibilities
- Translate business requirements into scalable AI/ML solution architectures and technical designs.
- Define and implement reference architectures for AI/ML workloads.
- Lead end-to-end solution design, including data pipelines, model development, integration, and deployment.
- Support PoCs, pilots, and production deployments, ensuring scalability and reliability.
- Collaborate with product, data, and engineering teams to align solutions with business goals.
- Evaluate and recommend tools, platforms, and frameworks (build vs buy decisions).
- Ensure solutions meet security, compliance, and governance standards.
- Drive best practices across MLOps, CI/CD, and cloud architecture.
Technical Skills & Stack
- Cloud Platforms: AWS, Azure, GCP
- AI/ML Tools: Azure ML, Databricks, MLflow
- Frameworks: Hugging Face Transformers, LangChain
- Programming: Python, FastAPI
- DevOps & Tools: Docker, Git
- Data Technologies: Elasticsearch
- Core Areas: Solution Architecture, MLOps, CI/CD, Security, Networking
Core Competencies
- Strong communication and business storytelling skills.
- Stakeholder management and collaboration.
- Problem-solving and structured thinking.
- Ownership and accountability.
- Ability to influence and align cross-functional teams.
Background & Experience
- Experience designing end-to-end AI solutions across data platforms, model development, and product integration.
- Strong understanding of LLMs, traditional ML, retrieval techniques, evaluation, and responsible AI.
- Hands-on experience with cloud-based architectures and scalable systems.
- Ability to translate business needs into technical solutions and roadmaps.
Education
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- Advanced degrees (PhD) are a plus.
Key Skills/Competency
- Solution Architecture
- AI/ML
- Cloud Architecture
- MLOps
- CI/CD
- Python
- AWS
- Azure
- GCP
- Databricks
Skills & topics
- Solution Architect
- AI
- Machine Learning
- Cloud Architecture
- AWS
- Azure
- GCP
- MLOps
- Python
- Databricks
- LLM
- Data Pipelines
- CI/CD
- Security
- Networking
How to get hired
- Tailor your resume: Highlight AI/ML architecture, cloud platforms (AWS, Azure, GCP), and MLOps experience.
- Showcase relevant projects: Detail end-to-end AI solution designs, LLM experience, and scalable system implementations.
- Demonstrate core competencies: Emphasize communication, stakeholder management, and problem-solving skills.
- Prepare for technical interviews: Be ready to discuss cloud architectures, AI/ML tools, and CI/CD best practices.
Technical preparation
Master cloud platforms: AWS, Azure, GCP.,Practice with AI/ML tools: Databricks, MLflow.,Build Python solutions with FastAPI.,Implement Docker, Git, and CI/CD.
Behavioral questions
Explain a complex AI solution simply.,Describe stakeholder management challenges.,How do you ensure solution accountability?,How do you influence cross-functional teams?
Frequently asked questions
- What are the key technical skills required for the Solution Architect AI and Data role at Visionary Tech Services?
- The Solution Architect AI and Data role at Visionary Tech Services requires strong expertise in cloud platforms like AWS, Azure, and GCP, AI/ML tools such as Azure ML and Databricks, programming languages like Python, and DevOps tools like Docker and Git. A deep understanding of MLOps, CI/CD, and solution architecture is essential.
- How does Visionary Tech Services approach responsible AI in their solutions?
- Visionary Tech Services is committed to responsible AI. The Solution Architect is expected to ensure solutions meet security, compliance, and governance standards, with a strong understanding of responsible AI practices integrated throughout the AI/ML solution lifecycle.
- What is the expected educational background for a Solution Architect AI and Data at Visionary Tech Services?
- A Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field is typically required. Advanced degrees like a PhD are considered a plus for this role at Visionary Tech Services.
- What kind of experience is needed to succeed as a Solution Architect AI and Data at Visionary Tech Services?
- Successful candidates will have experience designing end-to-end AI solutions, including data platforms, model development, and product integration. A strong understanding of LLMs, traditional ML, and hands-on experience with scalable cloud-based architectures are crucial for this role at Visionary Tech Services.
- What are the main responsibilities of the Solution Architect AI and Data at Visionary Tech Services?
- The Solution Architect AI and Data at Visionary Tech Services is responsible for translating business requirements into scalable AI/ML solution architectures, leading end-to-end solution design, supporting deployments, and driving best practices in MLOps and cloud architecture.