Senior Technical Architect
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Key skills for this role
About the Role
Inception seeks a Senior Technical Architect to shape architecture strategy for AI-driven initiatives. The role involves leading technology evaluation, integration, and alignment with business objectives, ensuring scalable and secure systems.
Key Skills for This Role
Responsibilities
- Develop and maintain the technical architecture framework to support business objectives and technology strategies
- Lead the evaluation, selection, and integration of new technologies and frameworks across the organization
- Provide strategic guidance and oversight for large scale AI and technology initiatives
- Partner with stakeholders to define and align architectural standards, principles, and practices
- Ensure compliance with security, regulatory, and performance requirements across technical systems
- Design and oversee the implementation of scalable, secure, and high performance AI solutions
- Mentor and guide architects and technical teams in best practices and innovative solutions
- Monitor technology trends and advocate for the adoption of emerging technologies
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Extensive experience in technical architecture and technology leadership
- Demonstrated success in delivering large scale, AI driven solutions
- Deep understanding of architectural principles, system design, and technology strategy
- Proven ability to lead technical scale architectural transformations
- Strong analytical skills and ability to translate complex business requirements into scalable architectures
- Exceptional leadership and communication skills
Full Job Posting
Overview
- As a Senior Technical Architect at Inception, you will play a pivotal role in shaping the overarching architecture strategy for our AI driven initiatives.
- You will work across teams to align business objectives with technology strategies, drive technical wide architectural decisions, and ensure our systems are scalable, secure, and aligned with best practices.
Responsibilities
- Develop and maintain the technical architecture framework to support business objectives and technology strategies.
- Lead the evaluation, selection, and integration of new technologies and frameworks across the organization.
- Provide strategic guidance and oversight for large scale AI and technology initiatives.
- Partner with stakeholders to define and align architectural standards, principles, and practices.
- Ensure compliance with security, regulatory, and performance requirements across technical systems.
- Design and oversee the implementation of scalable, secure, and high performance AI solutions.
- Mentor and guide architects and technical teams in best practices and innovative solutions.
- Monitor technology trends and advocate for the adoption of emerging technologies where applicable.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Extensive experience in technical architecture and technology leadership.
- Demonstrated success in delivering large scale, AI driven solutions.
- Deep understanding of architectural principles, system design, and technology strategy.
- Proven ability to lead technical scale architectural transformations.
- Strong analytical skills and the ability to translate complex business requirements into scalable and efficient architectures.
- Exceptional leadership and communication skills, with the ability to influence stakeholders at all levels.
Required Tech Stack
- Technical Architecture: Deep experience with frameworks such as TOGAF, Zachman, or similar.
- Programming and Development: Proficiency in Python, Java, and JavaScript.
- AI and Machine Learning: Familiarity with TensorFlow, PyTorch, and technical AI platforms.
- Cloud Platforms: Expertise in AWS, Microsoft Azure, and Google Cloud Platform (GCP).
- Data Management: Advanced knowledge of SQL, NoSQL databases, and big data solutions (e.g., Hadoop, Spark).
- Microservices and Integration: Expertise in microservices architecture, RESTful APIs, GraphQL, and service mesh technologies.
- Security and Compliance: In depth understanding of technical security standards and compliance requirements.
- DevOps and Automation: Experience with CI/CD pipelines, containerization tools like Docker and Kubernetes, and Infrastructure as Code (IaC) tools like Terraform.
Work Life
- A hybrid work policy to strike the perfect balance between office and home.
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