Leadership Tilt
Overview
The Chief Architect is a strategic technology leader and hands-on innovator responsible for helping organizations unlock business value through cutting-edge technologies and Generative AI platforms such as SASVA. This role blends deep full-stack technology expertise with the ability to articulate a clear, compelling value proposition for customers—translating complex technical capabilities into tangible business outcomes. Acting as both a thought leader and a practitioner, the Chief Architect guides customers on how technology and AI can solve their most pressing business problems, while ensuring practical adoption and measurable value delivery. Key Responsibilities
Technology Evangelism & Thought Leadership
Serve as a trusted advisor to CxO and senior stakeholders, demonstrating how AI, GenAI, and modern tech stacks accelerate transformation. Represent the organization in industry forums, publications, and customer advisory boards as a recognized leader in Generative AI and enterprise architecture. Shape and communicate the value proposition of the SASVA platform and other AI-driven solutions in solving real-world business challenges.
Hands-On Architecture & Solutioning
Design and architect end-to-end solutions across cloud, data, application, integration, and AI layers. Actively use SASVA and other GenAI platforms to prototype, validate, and deliver AI-powered solutions. Lead the resolution of complex technical problems by applying deep knowledge of algorithms, data, and scalable architectures.
Customer Engagement & Value Realization
Engage with customers to understand business needs and map them to technical solutions, ensuring clarity of outcomes. Build business cases and ROI models that clearly demonstrate the value created by AI-enabled solutions. Partner with customer teams to ensure smooth adoption and integration of advanced AI technologies into existing landscapes. Stay abreast of the latest advancements in cloud, GenAI, software engineering, and enterprise platforms. Drive innovation pilots to demonstrate how emerging technologies can solve evolving industry challenges. Mentor internal teams on modern technology practices and AI-first design principles.
Technical Skills Required
Cloud & Infrastructure: Expertise in AWS, Azure, GCP with deep understanding of multi-cloud architectures, Kubernetes, Docker, and serverless. Generative AI & ML: Hands-on experience with SASVA, OpenAI, Anthropic, HuggingFace, vector databases, RAG, LLMOps, prompt engineering, and model fine-tuning. Data Engineering & Analytics: Strong command of data pipelines, ETL/ELT, data lakes, real-time streaming, and analytics platforms. Application Development: Mastery across full-stack development (Java, .NET, Python, Node.js, React, Angular, etc.), microservices, APIs, and event-driven systems. DevSecOps: Advanced knowledge of CI/CD, GitOps, Infrastructure as Code (Terraform, Ansible), observability, and secure SDLC practices. Architecture Practices: Proficiency in enterprise architecture frameworks (TOGAF, Zachman), cloud-native design, and integration patterns. Cybersecurity: Familiarity with zero-trust architectures, IAM, encryption, compliance frameworks, and secure AI practices. Innovation Readiness: Proven ability to rapidly prototype with emerging technologies and evaluate their business impact.
Leadership Skills Required
Thought Leadership: Recognized as a visionary and influencer in technology and AI, able to shape conversations with customers, peers, and industry forums; translate trends into business insights and strategies; demonstrate a growth mindset and a habit of staying ahead of developments. Hands-On Problem Solving: Approaches complex challenges with a do-it-yourself attitude; leads by example through building, prototyping, and validating solutions. Adaptability & Resilience: Rapidly learns new concepts and domains; thrives in ambiguity and guides organizations through AI-driven change.
Qualifications
15+ years in technology leadership roles, with at least 5 years in an architectural leadership capacity. Demonstrated experience with AI/ML & Generative AI projects, including hands-on prototyping and delivery. Strong track record of working with enterprise customers across multiple industries. Advanced degree in Computer Science, Engineering, or equivalent. Certifications in cloud platforms and AI technologies preferred. Seniority level
Executive Employment type
Full-time Job function
Design, Art/Creative, and Information Technology Industries: Human Resources Services
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The Chief Architect is a strategic technology leader and hands-on innovator responsible for helping organizations unlock business value through cutting-edge technologies and Generative AI platforms such as SASVA. This role blends deep full-stack technology expertise with the ability to articulate a clear, compelling value proposition for customers—translating complex technical capabilities into tangible business outcomes. Acting as both a thought leader and a practitioner, the Chief Architect guides customers on how technology and AI can solve their most pressing business problems, while ensuring practical adoption and measurable value delivery. Key Responsibilities
Technology Evangelism & Thought Leadership
Serve as a trusted advisor to CxO and senior stakeholders, demonstrating how AI, GenAI, and modern tech stacks accelerate transformation. Represent the organization in industry forums, publications, and customer advisory boards as a recognized leader in Generative AI and enterprise architecture. Shape and communicate the value proposition of the SASVA platform and other AI-driven solutions in solving real-world business challenges.
Hands-On Architecture & Solutioning
Design and architect end-to-end solutions across cloud, data, application, integration, and AI layers. Actively use SASVA and other GenAI platforms to prototype, validate, and deliver AI-powered solutions. Lead the resolution of complex technical problems by applying deep knowledge of algorithms, data, and scalable architectures.
Customer Engagement & Value Realization
Engage with customers to understand business needs and map them to technical solutions, ensuring clarity of outcomes. Build business cases and ROI models that clearly demonstrate the value created by AI-enabled solutions. Partner with customer teams to ensure smooth adoption and integration of advanced AI technologies into existing landscapes. Stay abreast of the latest advancements in cloud, GenAI, software engineering, and enterprise platforms. Drive innovation pilots to demonstrate how emerging technologies can solve evolving industry challenges. Mentor internal teams on modern technology practices and AI-first design principles.
Technical Skills Required
Cloud & Infrastructure: Expertise in AWS, Azure, GCP with deep understanding of multi-cloud architectures, Kubernetes, Docker, and serverless. Generative AI & ML: Hands-on experience with SASVA, OpenAI, Anthropic, HuggingFace, vector databases, RAG, LLMOps, prompt engineering, and model fine-tuning. Data Engineering & Analytics: Strong command of data pipelines, ETL/ELT, data lakes, real-time streaming, and analytics platforms. Application Development: Mastery across full-stack development (Java, .NET, Python, Node.js, React, Angular, etc.), microservices, APIs, and event-driven systems. DevSecOps: Advanced knowledge of CI/CD, GitOps, Infrastructure as Code (Terraform, Ansible), observability, and secure SDLC practices. Architecture Practices: Proficiency in enterprise architecture frameworks (TOGAF, Zachman), cloud-native design, and integration patterns. Cybersecurity: Familiarity with zero-trust architectures, IAM, encryption, compliance frameworks, and secure AI practices. Innovation Readiness: Proven ability to rapidly prototype with emerging technologies and evaluate their business impact.
Leadership Skills Required
Thought Leadership: Recognized as a visionary and influencer in technology and AI, able to shape conversations with customers, peers, and industry forums; translate trends into business insights and strategies; demonstrate a growth mindset and a habit of staying ahead of developments. Hands-On Problem Solving: Approaches complex challenges with a do-it-yourself attitude; leads by example through building, prototyping, and validating solutions. Adaptability & Resilience: Rapidly learns new concepts and domains; thrives in ambiguity and guides organizations through AI-driven change.
Qualifications
15+ years in technology leadership roles, with at least 5 years in an architectural leadership capacity. Demonstrated experience with AI/ML & Generative AI projects, including hands-on prototyping and delivery. Strong track record of working with enterprise customers across multiple industries. Advanced degree in Computer Science, Engineering, or equivalent. Certifications in cloud platforms and AI technologies preferred. Seniority level
Executive Employment type
Full-time Job function
Design, Art/Creative, and Information Technology Industries: Human Resources Services
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