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AI Solution Architect

AI Solution Architect

Larsen & Toubromumbai, India
17 hours ago
Job description

Job Summary :

We are seeking an experienced to lead the design and implementation of scalable AI / ML systems and solutions. The ideal candidate will bridge the gap between business needs and technical execution, translating complex problems into AI-powered solutions that drive strategic value.

Key Responsibilities :

  • Solution Design & Architecture
  • Design end-to-end AI / ML architectures, integrating with existing enterprise systems and cloud infrastructure.
  • Lead technical planning, proof-of-concepts (POCs), and solution prototyping for AI use cases.
  • AI / ML System Development
  • Collaborate with data scientists, engineers, and stakeholders to define solution requirements.
  • Guide the selection and use of machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Evaluate and incorporate LLMs, computer vision, NLP, and generative AI models as appropriate.
  • Technical Leadership
  • Provide architectural oversight and code reviews to ensure high-quality delivery.
  • Establish best practices for AI model lifecycle management (training, deployment, monitoring).
  • Advocate for ethical and responsible AI practices including bias mitigation and model transparency.
  • Stakeholder Engagement
  • Partner with business units to understand goals and align AI solutions accordingly.
  • Communicate complex AI concepts to non-technical audiences and influence executive stakeholders.
  • Innovation & Strategy
  • Stay updated on emerging AI technologies, trends, and industry standards.
  • Drive innovation initiatives to create competitive advantage through AI.

Required Qualifications :

  • Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.
  • 6 years of experience in software development or data engineering roles.
  • 3+ years of experience designing and delivering AI / ML solutions.
  • Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
  • Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Strong programming skills in Python and familiarity with CI / CD pipelines.

    • Preferred Qualifications :

  • Experience with generative AI, foundation models, or large language models (LLMs).
  • Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and AI compliance frameworks.
  • Certifications in cloud architecture or AI (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).
  • Strong analytical, communication, and project management skills.

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