Architect and implement scalable AI and machine learning models and systems that align with business goals.
Oversee the integration of AI models into existing systems, ensuring seamless deployment and functionality.
Evaluate and select appropriate AI tools, technologies, and frameworks to meet project requirements.
Design data pipelines and workflows for efficient data collection, preprocessing, and storage.
Work closely with data scientists, engineers, and other stakeholders to define AI architecture strategies.
Optimize AI models and systems for performance, scalability, and reliability.
Ensure AI systems comply with security standards and regulatory requirements.
Create and maintain comprehensive documentation of AI architecture, design decisions, and workflows.
Stay up-to-date with the latest AI trends and technologies, and apply innovative solutions to business problems.
Provide guidance and mentorship to junior team members on AI architecture best practices.
Engage with clients to understand their business needs and provide expert guidance on AI strategy and implementation.
Build and maintain strong relationships with clients, acting as a trusted advisor for their AI initiatives.
Tailor AI solutions to meet specific client requirements and industry standards.
Support business development activities by identifying opportunities for AI projects and contributing to proposal development.
For All Levels
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
Strong understanding of AI and machine learning principles.
Proficiency in programming languages such as Python, Java, or C++.
Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Knowledge of big data technologies (e.g., Hadoop, Spark).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and collaboration skills.
Experience in a consulting role, engaging with clients to deliver AI solutions.
Candidates with exceptional experience will be considered irrespective of years of experience.
Consultant Level
Min. 4 years of experience in AI architecture or related roles.
Demonstrated ability to design and implement AI models and systems.
Experience with data integration and model deployment.
Proficiency in creating and managing data pipelines.
Experience in client-facing roles, understanding client needs, and delivering tailored solutions.
Manager/Associate Manager Level
Min. 6/8 years of experience in AI architecture or related roles.
Proven experience in leading and managing AI projects and teams.
Strong project management skills, with the ability to manage multiple projects simultaneously.
Demonstrated experience in evaluating and selecting AI technologies and frameworks.
Ability to work with cross-functional teams and drive project alignment.
Experience in developing client relationships and providing strategic AI consulting.
Senior Manager Level
Min. 10 years of experience in AI architecture or related roles.
Extensive experience in designing and implementing large-scale AI systems.
Proven leadership skills with experience in managing large AI teams and complex projects.
Strong strategic thinking and the ability to align AI architecture with business goals.
Experience in mentoring and developing junior team members.
Demonstrated ability to drive innovation and apply cutting-edge AI technologies to solve business problems.
Significant experience in consulting, with a track record of delivering successful AI projects and building long-term client relationships.
