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Technical Solutions Architect

Publicado el: 3 de Jul, 2025
Job Summary:
We are seeking an experienced and forward-thinking Technical Solutions Architect to join our Consulting team. This role requires a blend of strategic insight and hands-on expertise in software architecture, AI/ML, cloud platforms, SaaS ecosystems, and modern delivery practices such as Agile (Scrum/Kanban) and DevOps. As a trusted technical leader, you will guide the design and implementation of scalable, secure, and innovative solutions that enable digital transformation and deliver long-term value for our clients.

Key Responsibilities:
Architecture & Solution Design
❑ Design end-to-end technical architectures for software systems, AI/ML pipelines, data platforms, and SaaS integrations with an emphasis on scalability, performance, and security.
❑ Evaluate and recommend technology stacks, cloud services, AI/ML frameworks, and architectural patterns tailored to each client's requirements.
❑ Define integration strategies using APIs, microservices, and cloud-native patterns for seamless connectivity across platforms.
Implementation & Delivery Leadership
❑ Collaborate closely with cross-functional teams including developers, data scientists, DevOps engineers, and business stakeholders to ensure successful solution delivery.
❑ Lead technical execution, ensuring alignment with architecture decisions, Agile methodologies, and DevOps practices.
❑ Drive estimation, risk management, change management, and quality assurance processes throughout the project lifecycle.

Consulting & Collaboration
❑ Engage directly with clients to understand their business goals, operational constraints, and technical challenges
❑ Translate client needs into actionable solution designs and strategic recommendations.
❑ Communicate effectively with C-level stakeholders (CTOs, CIOs, Heads of Engineering) and provide technical leadership to onshore and offshore teams.

Governance & Documentation
❑ Develop and maintain system architecture diagrams, design documentation, and technical specifications.
❑ Conduct architecture reviews to ensure adherence to best practices, compliance standards, and organizational policies.

Thought Leadership & Innovation
❑ Stay current with emerging technologies in AI, ML, cloud, data analytics, and software development.
❑ Promote a culture of continuous improvement, experimentation, and innovation within project teams.

Required Skills and Abilities:
❑ Proven ability to architect and lead delivery of complex, distributed systems.
❑ Deep understanding of software development and architecture best practices.
❑ Hands-on knowledge of AI/ML concepts, data engineering, and model deployment techniques.
❑ Strong grasp of cloud platforms (AWS, Azure, GCP), cloud-native services, and SaaS models.
❑ Proficiency in Agile (Scrum, Kanban) frameworks and DevOps principles.
❑ Expertise in containerization technologies such as Docker, Kubernetes, Helm, and container orchestration in cloud environments.
❑ Excellent problem-solving skills with the ability to think strategically and execute tactically.
❑ Strong interpersonal and communication skills with experience interacting across business and technical stakeholders.
❑ Experience working with and mentoring distributed/offshore teams.

Education and Experience:
❑ Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
❑ 10+ years of experience in technical solution architecture, with focus areas including software, cloud, AI/ML, and SaaS for various industries.
❑ 5+ years of prior experience in software programming using object-oriented languages.
❑ Relevant certifications such as AWS Certified Solutions Architect, Microsoft Azure Solutions Architect, or Google Cloud Professional Architect are highly desirable.
❑ Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.

Other Requirements:
❑ Prolonged periods of sitting and computer work.
❑ Occasional travel may be required.

Detalles

Tipo de oferta
Oportunidad Laboral
Ubicación
Remota
Área de trabajo
Informática
Tipo de cargo
Ingeniero de Proyectos
Jornada
Completa
Contrato
Indeterminado

Requisitos

Carrera(s)
Ingeniería en Inteligencia Artificial
Experiencia laboral
Experto (de 10 a más de 20 años de experiencia)

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