AI Architect

AI Architect

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.
• Managerial Responsibilities
  • 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.
• Preferred Qualifications
  • 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
• Soft Skills
  • 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, people are at the heart of everything we do. We foster a diverse, inclusive, and employee-driven culture where every individual is valued, empowered, and encouraged to bring their authentic self to work. Our candidate-first approach means we are committed to understanding your career goals and connecting you with opportunities that align with your aspirations, skills, and potential. Whether you're taking the next step in your career or searching for your dream opportunity, KAYGEN is more than a staffing partner—we're a community dedicated to helping you grow, succeed, and thrive.

Join us and discover a place where your talent is recognized, your ambitions are supported, and your future is built alongside a team that invests in your success every step of the way.

• Free Healthcare Insurance
• 401(k) Retirement Plan
• Free Life Insurance
• Sick Time Off

Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by KAYGEN, that includes programs like:

• Mentorship Program
• Certifications
• Referrals
• Family and Wellness benefits
• Continuous Growth and Career Development