About Us:
As a Senior AI Solutions Architect at Kenility, you’ll join a tight-knit family of creative developers, engineers, and designers who strive to develop and deliver the highest quality products into the market.
Technical Requirements:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- At least 5 years of professional experience delivering AI/ML and data-driven solutions.
- Strong hands-on expertise in Python for the development of AI and data solutions.
- Practical experience working with Large Language Models (LLMs), AI agents, and vector database technologies.
- Proven ability to design data architectures and integrate AI capabilities into scalable solutions.
- Experience with AI development tools and libraries such as Hugging Face, LangChain, and agentic AI frameworks.
- Strong knowledge of at least one major cloud platform, including AWS, Azure, or Google Cloud Platform.
- Experience implementing DevOps practices and technologies, including Docker, Kubernetes, and CI/CD pipelines.
- Solid knowledge of SQL and NoSQL databases, as well as data and streaming technologies such as Kafka and Airflow.
- Demonstrated experience leading customer-facing technical engagements within consulting environments, including solution scoping, technical presentations, and project delivery.
- Hands-on background developing and maintaining production-grade software applications and systems.
- Advanced understanding of cloud infrastructure automation, container orchestration, monitoring, and continuous integration and delivery practices.
- Experience contributing to pre-sales initiatives, including discovery activities, solution proposals, and technical feasibility evaluations.
- Strong background in data engineering and analytics, including scalable data pipelines and the processing of structured and unstructured datasets.
- Solid knowledge of applied statistics and practical experience implementing deep learning techniques in real-world solutions.
- Minimum Upper Intermediate English (B2) or Proficient (C1).
Tasks and Responsibilities:
- Lead customer communications throughout engagements, facilitating discovery and scoping sessions, aligning stakeholder expectations, and communicating project outcomes.
- Guide key technical decisions for enterprise AI initiatives, defining solutions that appropriately address customer requirements and project objectives.
- Proactively assess project roadmaps for potential risks, validate milestones and effort estimates, and maintain high standards throughout delivery.
- Develop and present high-impact technical and business-facing materials that clearly communicate solutions, recommendations, and results to diverse audiences.
- Partner closely with Sales, Product, Customer Success, and other cross-functional teams to provide a consistent and high-quality customer experience across the engagement lifecycle.
- Manage client engagements with a strong focus on business objectives, technical alignment, and preparation for future project phases.
- Evaluate and enhance solution architectures, technical roadmaps, and implementation strategies to promote scalability and engineering excellence.
- Continuously evaluate developments across the AI ecosystem, introducing relevant best practices and incorporating responsible AI principles into customer solutions.
Soft Skills:
- Responsibility
- Proactivity
- Flexibility
- Great communication skills
