AI Architect
Listed on 2026-06-02
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Job Title: AI Architect
Job Summary
We are seeking an experienced AI Architect to lead the design, development, and deployment of scalable AI/ML solutions. This role requires a blend of deep technical expertise and leadership capability to architect enterprise-grade AI systems, guide cross-functional teams, and ensure alignment with business objectives.
Technical Responsibilities
- Architectural Design:
Design end-to-end AI/ML architectures, including data pipelines, model training frameworks, deployment strategies, and system integration. - Technology Evaluation & Selection:
Assess and recommend appropriate tools, platforms, and frameworks based on scalability, performance, cost, and enterprise compatibility. - Model Development Oversight:
Lead and oversee the development, training, validation, and optimization of machine learning and deep learning models to meet business KPIs. - System Integration:
Ensure seamless integration of AI solutions with existing enterprise systems, applications, and databases.
- Team Leadership:
Lead, mentor, and develop a team of data scientists, ML engineers, and AI specialists to drive innovation and delivery excellence. - Project Management:
Manage AI initiatives end-to-end, ensuring delivery within scope, timeline, and budget. - Stakeholder Communication:
Translate complex AI concepts into business-friendly insights for stakeholders, ensuring alignment and informed decision-making. - Compliance & Ethics:
Ensure AI systems comply with regulatory requirements and ethical standards, including data privacy, fairness, and bias mitigation.
Technical Skills
- Machine Learning & Deep Learning:
Strong expertise in ML algorithms and deep learning frameworks such as Tensor Flow and PyTorch. - Data Science & Analytics:
Solid foundation in statistics, data modeling, data analysis, and visualization techniques. - Programming Languages:
Proficiency in Python, R, and/or Java, with experience using AI/ML libraries and toolkits. - Cloud Computing:
Hands-on experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, including their AI/ML services. - Big Data Technologies:
Experience with distributed data processing tools like Apache Hadoop, Apache Spark, and Apache Kafka.
- Experience designing AI solutions in enterprise environments
- Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
- Strong understanding of data governance and security best practices
- Prior experience in stakeholder-facing or consulting roles
- Strong leadership and mentoring abilities
- Excellent communication and stakeholder management skills
- Strategic thinking and problem-solving mindset
- Ability to work in a fast-paced, cross-functional environment.
At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. Our team of experienced staffing experts will work with you to find you the best opportunity.
For more information, please visit us at
Benefits:
- Free Healthcare Insurance
- Vision and Dental Insurance
- 401(k) Retirement Plan
- Free Life Insurance
- Sick Time Off
- Certifications
- Mentorship Program
- Referrals
- Family and Wellness benefits
- Continuous Growth and Career Development
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