Principal AI Architect

Job Title:

Full Stack AI Architect with ML [we need strong expertise in Data scientist machine learning]

Experience : 14+ years

Location:

Frisco/Texas, or Overland Park/KS or Seattle/WA – ( 100% Onsite ) – 5 Days/Week ( Mandate) – Any 1 Location

Client:
Mphasis

Client :
Telecom Domain

We are seeking a highly skilled Full Stack AI Architect to join our dynamic team. The ideal candidate will possess a robust understanding of AI and machine learning (ML) implementation, with a strong focus on algorithms, neural networks, and relevant frameworks. This role requires a hands‑on expert‑level coding proficiency in Python or Java, enabling the candidate to design, develop, and deploy innovative AI solutions that meet our clients' needs.

• Design and implement AI/ML models and algorithms to solve complex business problems.
• Develop and maintain scalable and efficient codebases using Python or Java.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Conduct research and stay updated on the latest AI ML trends, tools, and technologies.
• Optimize existing AI models and algorithms for performance and scalability.
• Provide technical leadership and mentorship to junior team members.
• Ensure best practices in coding, testing, and deployment of AI solutions.
• Participate in code reviews and contribute to the continuous improvement of development processes.

• Strong expertise in AI/ML implementation, including supervised, unsupervised, and reinforcement learning.
• Deep knowledge of neural networks and their applications.
• Proficiency in frameworks such as Tensor Flow, PyTorch, or Keras.
• Expert‑level coding skills in Python or Java.
• Solid understanding of data structures, algorithms, and software design principles.

Must have working hands‑on experience of 5 years working as an AI Architect

Must have worked in telecom domain.

• Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of big data technologies (Hadoop, Spark) and data processing frameworks.
• Experience in developing APIs and microservices for AI applications.
• Strong problem‑solving skills and the ability to work in a fast‑paced environment.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven track record of successful AI/ML project implementations.
• Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to non‑technical stakeholders.
• Ability to work collaboratively in a team‑oriented environment.

If you are passionate about AI and ML and are looking to make a significant impact in a leading organization, we encourage you to apply for this exciting opportunity.