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Role Summary
We’re looking for a practical, implementation-focused AI Solution Architect to join us during a pivotal growth phase and play a key role in shaping our AI practice alongside the Chief AI Officer. This is a leadership role with strong delivery and innovation accountability, focused on scaling AI capabilities in a way that’s practical, agile, and closely aligned with real business impact.
Key Responsibilities
Partner closely with the Chief AI Officer to drive the AI vision and roadmap across projects and prototypes.
Lead and contribute to the design, development, and deployment of AI/ML solutions with strong software engineering foundations.
Mentor and guide AI/ML teams, fostering technical excellence and hands-on problem-solving.
Co-own technical strategy, ensuring rapid prototyping aligns with commercial opportunities and client needs.
Collaborate with sales and delivery teams to bring technical credibility to client conversations, shaping solutions with speed and clarity.
What We’re Looking For:
Technical & Product Expertise
Strong background in Machine Learning and Artificial Intelligence, with a deep understanding of modern ML practices.
Deep expertise in designing and implementing end-to-end AI architectures, covering data ingestion, feature engineering, model deployment, and monitoring.
Proficiency with modern AI/ML ecosystems (e.g., LangChain, LlamaIndex, vector databases, orchestration tools, cloud AI platforms) and ability to architect robust, scalable solutions.
Solid software engineering foundation: experience building, testing, and deploying production-grade ML systems.
Track record of building and scaling AI teams or projects
Passion for clean code, scalability, and practical innovation over academic perfection.
Business Acumen
Previous experience in startups or founding roles is a strong advantage.
Understanding of product-market fit, iterative delivery, and client-centric thinking.
Experience in or exposure to enterprise environments is a bonus.
Sales & Client Engagement
Ability to translate technical solutions into business value and communicate fluently with clients and non-technical stakeholders.
