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Solutions Architect

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Mphasis
Full Time position
Listed on 2026-05-10
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Location:

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

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.

Responsibilities
  • 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.
Mandatory Skills
  • 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.
Years of Experience
  • Must have working hands‑on experience of 5 years working as an AI Architect.
  • Must have worked in telecom domain.
Preferred Skills
  • 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.
Qualifications
  • 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.

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