Principal AI Architect

Principal AI Architect

  • Total Experience : 5 to 10 Years
  • No of Openings : 1
  • Type : On site
  • Location : NOIDA [INDIA]
  • Job Post Date : 16/01/2025

About the Job

We are seeking a visionary Principal AI Architect to lead and build our Cloud Native Development and Modernization Practice. This high-impact role offers significant growth potential, including the opportunity to evolve into a practice leader. You’ll guide clients through the transformation of legacy architectures into modern, cloud-native solutions. Strong communication skills, including delivering technical presentations and creating client documentation, will be key as you translate complex solutions into business outcomes. Your proven problem-solving abilities and experience tackling technical challenges in fast-paced environments will drive innovation and ensure client success. Your leadership and client-facing expertise will be essential as we develop this practice.

Education Requirements

  • Bachelor’s degree in a related discipline

Skills Requirements

  • 3 years of experience managing teams of architects and engineers, including responsibility for conducting technical interviews, assigning tasks, and ensuring the successful delivery of project milestones and deliverables.
  • Demonstrated expertise in machine learning, deep learning, and Generative AI, with hands-on experience building and deploying models at scale.
    Strong programming skills in Python and SQL, with experience in additional languages (e.g., Java, C++, R).
  • Proficiency with cloud platforms (AWS, Azure, or Google Cloud) and AI/ML tools such as SageMaker, TensorFlow, PyTorch, or equivalent.

Experience Requirements

  • Deep understanding of data modeling, ETL processes, and both structured and unstructured data management.
  • Proven leadership skills, including experience managing and mentoring teams of architects and engineers.

Preferred Qualifications

  • Experience working in a consulting or professional services capacity, with a track record of delivering client-facing solutions.
  • Hands-on experience with containerization (e.g., Kubernetes, Docker) and CI/CD pipelines.
    Familiarity with migrating monolithic architectures to microservices or designing cloud-native solutions.
  • Expertise in DevOps and automation frameworks, including Terraform and CloudFormation.
    Knowledge of advanced AI/ML techniques, such as NLP, recommendation systems, and real-time decision engines.
  • Experience building or managing offshore development teams.

Role & Responsibilities

Leadership & Strategy

  • Build and lead a high-performing AI/ML practice, scaling a team of engineers and architects with potential for middle management roles.
  • Mentor and develop technical talent, fostering a culture of innovation, collaboration, and continuous learning.
  • Play a pivotal role in practice growth, contributing to both technical delivery and business development initiatives.

Architecture & Delivery

  • Serve as a hands-on architect, designing scalable AI/ML solutions and providing technical leadership across projects.
  • Lead the design and implementation of data pipelines, machine learning models, and real-time decision-making systems.
  • Oversee the full lifecycle of AI/ML solutions, including discovery, proof of concept (PoC), deployment, and optimization.
  • Collaborate with cloud architecture and engineering teams to deliver integrated AI/ML solutions within larger transformation initiatives.

Client Engagement

  • Partner with sales teams as a technical expert during pre-sales activities, including presentations and proposal development.
  • Conduct in-depth discovery sessions to understand client requirements, define technical solutions, and articulate business value.
  • Act as a trusted advisor and subject matter expert (SME) for client stakeholders, providing thought leadership and best practices.

Thought Leadership

  • Stay at the forefront of AI/ML trends, evaluating new technologies and contributing to the organization’s technical knowledge base.
  • Represent RapidScale at industry events and conferences, establishing a market presence for the AI/ML practice.

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