Principal AI Architect

The Principal AI Architect designs, develops and implements advanced AI solutions and architectures that align with the company’s strategic goals and objectives.

Major Responsibilities

- Leads the design and development of AI architectures, including machine learning models, deep learning frameworks, and generative AI systems

- Defines technical strategies and roadmaps for AI-driven projects ensuring alignment with business objectives

- Collaborates with data scientists, data engineers, business functional and product teams to integrate AI solutions into production environments

- Advises and oversees the evaluation and adoption of AI technologies, tools, and platforms

- Serves as the technical leader and mentor to AI and engineering teams

- Delivers scalable, secure, and optimized AI solutions

- Leads analytic literacy of the organization and serves as a translator of deep technical concepts into simple business vernacular

- Leads industry trends and advancements in AI to help maintain a competitive edge

- Communicates complex technical concepts to non-technical stakeholders effectively.

Minimum Job Requirements

- Bachelors Degree in Computer Science or other related program

- 8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role

- Proven track record of designing and deploying large-scale AI systems in production environments

- Experience leading cross-functional teams in the delivery of complex AI projects

- Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Knowledge / Skills / Abilities

- Must be deeply curious, desire to experiment

- Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research

- Strong proficiency in programming languages such as Python, R, or Java

- Ability to design scalable, secure, and efficient AI architectures

- Exceptional problem-solving and analytical skills

- Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration

- Excellent communication skills, capable of translating technical concepts to diverse audiences

- Ability to work in a fast-paced, dynamic environment and manage multiple priorities

Preferred Job Requirements

Education

- Ph.D. In Operations Research, Data Science, or a closely related field

- Master’s degree in a relevant field with significant research or project work in AI or machine learning

Certification / License

- Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate

Work Experience

- Experience with generative AI and reinforcement learning

Knowledge / Skills / Abilities

- Publications or patents in AI, machine learning, or related fields

- Familiarity with DevOps practices and MLOps pipelines for AI deployment

- Experience in industries such as healthcare, finance, or technology