Solution Architect

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

This individual will serve as a cross-functional enabler between product, engineering, AI/data teams, and customers, driving custom software solutions, low-code/no-code platforms, intelligent workflows, and AI/ML-enabled use cases across sectors such as Government, Healthcare, Utilities, Oil & Gas, and Smart Cities.

Key Responsibilities:

- Translate industry-specific business requirements into technology blueprints across citizen engagement apps, enterprise portals, command centers, field-force automation tools, and AI assistants.
- Drive the design of data-centric platforms incorporating ingestion, ETL pipelines, knowledge graphs, AI/ML layers, and data governance.
- Integrate bespoke solutions with external and internal platforms including CRM, ERP, billing, identity management, GIS, IoT, and national government services.
- Define architecture patterns and security models for hybrid and multi-cloud platforms, including deployment via Kubernetes, Docker, Azure/AWS services, and edge nodes.
- Champion low-code/no-code platforms (e.g., Microsoft Power Platform, Mendix, OutSystems) where applicable for rapid enterprise digitalization.
- Engage directly with enterprise customers to uncover business challenges, define requirements, and co-create solution journeys.
- Conduct solution workshops, PoCs, and design sprints to validate technical feasibility and user experience.
- Prepare technical documentation, including high-level architecture (HLA), low-level design (LLD), functional specs, and system integration diagrams.
- Collaborate with presales and bid teams on commercial proposals, effort estimation, and value articulation.
- Provide architectural oversight during the implementation and development phases, ensuring delivery is aligned with design, performance, and security expectations.
- Guide development teams (in-house and partner) on best practices, coding standards, DevSecOps, and testing strategies.
- Work across agile delivery squads, product owners, UX designers, QA, and DevOps teams to ensure successful solution realization.

Required Skills & Qualifications

Technical Expertise:

- Proven expertise with integration frameworks (e.g., API gateways, ESB, Kafka, GraphQL), databases (SQL, NoSQL, TimeSeries), and identity frameworks (OAuth2, SSO, IAM).
- Knowledge of AI/ML lifecycle, including model training, inferencing, orchestration (Kubeflow, MLflow), and APIs for GenAI/LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face).
- Proficient in cloud platforms (Azure, AWS, GCP) and DevSecOps pipelines (CI/CD, GitOps, IaC using Terraform/ARM).

Professional Experience:

- 10-14 years of total experience in ICT/digital services/software architecture roles, with at least 5 years in designing bespoke or custom digital solutions.
- Experience delivering projects involving citizen apps, operational dashboards, digital twins, AI chatbots, recommendation systems, or platform orchestration.
- Past delivery experience with government, smart city, or regulated enterprise customers is an advantage.

Soft Skills:

- Strategic thinker with the ability to bridge business and technology.
- Exceptional communication and solution storytelling skills for both technical and executive audiences.
- Strong stakeholder management, team collaboration, and leadership skills.

Preferred Certifications:

- TOGAF or equivalent enterprise architecture certification
- Azure/AWS Solution Architect certifications
- AI/ML-related certifications (e.g., TensorFlow, Azure AI Engineer, NVIDIA Deep Learning Institute)