Senior Architect and Engineer - AI Focus/Talent Pool
Listed on 2026-02-07
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IT/Tech
AI Engineer, Cloud Computing
Overview
Job Title: Senior Architect and Engineer - AI Focus/Talent Pool
Location: Remote (project-dependent)
Engagement Type: Future opportunities / Pre-Sales
About the Talent PoolWe are building an extremely senior talent pool of technology leaders with a strong AI-focus to support pre-sales, future client needs and technical leadership. This initiative targets professionals with experience as hands-on senior engineers, combining strategic vision with a solid hands-on architectural background and deep exposure to Artificial Intelligence initiatives.
Role OverviewProfessionals in this talent pool may be considered for leadership roles where technology strategy, architecture, and AI-driven innovation are core to the business. Depending on the engagement, the role may involve working on pre-sales, defining technical vision, leading engineering organizations, and implementing & driving AI adoption at scale.
Responsibilities- Define and lead technology and AI strategy aligned with business objectives.
- Design, estimate, and implement technical solutions using AI tools.
- Drive the adoption of AI solutions across products, platforms, or internal operations.
- Design, estimate, implement, and oversee scalable, secure, and resilient architectures, leveraging cloud and AI technologies.
- Act as a technical authority and advisor to different stakeholders and clients.
- Lead, mentor, and scale engineering and architecture teams.
- Oversee data, AI, and platform architecture decisions.
- Ensure governance, security, and compliance across technology initiatives.
- Evaluate emerging technologies and vendors in the AI ecosystem.
- Strong background as a Senior Software / Solution / Enterprise Architect.
- Hands-on experience with AI/tools, systems, data platforms, or AI-enabled products.
- Cloud architecture and infrastructure (AWS, Azure, or GCP).
- Data architecture, pipelines, and analytics platforms.
- API-driven and distributed systems architecture.
- Security, scalability, and reliability best practices.
- Experience designing, leading, and implementing AI-driven solutions.
- Understanding of the AI lifecycle: data ingestion, training, deployment, monitoring, and governance.
- Familiarity with AI platforms, frameworks, or services (cloud-native AI services, MLOps concepts).
- Awareness of AI ethics, data privacy, and responsible AI practices.
- Proven experience in leadership roles.
- Ability to translate business goals into technical and architectural strategies.
- Strong stakeholder management and executive communication skills.
- Experience working with distributed or global teams.
- Strategic mindset with the ability to stay hands-on.
- Senior-level experience in technology leadership and architecture.
- Strong decision-making and problem-solving capabilities.
- Comfortable operating in fast-changing, innovation-driven environments.
- Excellent communication skills with both technical and non-technical audiences.
- Experience working with startups, scale-ups, or innovation-focused organizations.
- Certifications in cloud, architecture, or AI-related domains.
- Early consideration for future AI-focused executive and architecture roles.
- Engagements with cutting-edge, innovation-driven clients.
- Strategic, high-impact leadership opportunities.
- Long-term relationship with technology and delivery teams.
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