AI Solution Architect

LNT/ASA/1378493

RELT-RealtyMumbai

Job Summary:

We are seeking an experienced AI Solution Architect 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.

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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.

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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.

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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.