Senior AI​/ML Solutions Architect

Job Description - Senior AI/ML Solutions Architect (CREQ
242642)
Description

• Lead the design development and deployment of machine learning and GenAI models in collaboration with AI Architects, Cloud Engineers and CRM Development Teams
• Architect end to end ML pipelines from data preparation and model training to deployment and monitoring — ensuring scalability efficiency and compliance
• Evaluate and fine tune state of the art models eg Gemini GPT 4 and other LLMs and integrate them into enterprise systems such as Salesforce
• Guide retraining efforts to maintain model performance fairness and ethical standards
• Mentor junior engineers and provide technical leadership on best practices in ML model development, optimization, and MLOps
• Collaborate cross functionally with product owners data scientists and business stakeholders to translate business needs into AI solutions
• Ensure AI governance and ethics by monitoring for bias ensuring data privacy compliance and adhering to responsible AI principles
• Stay ahead of industry trends tools and research to continuously innovate and improve AI capabilities within the organization.
• Document architectures workflows and model life cycles for transparency reproducibility and audit readiness.

• Bachelors degree in Computer Science Information Technology Computer Engineering or related field (advanced degree preferred)
• Proven experience 5 8 years in Machine Learning Engineering or AI Solution Design with demonstrated leadership or tech lead responsibilities
• Deep expertise in Generative AI LLMs eg Gemini, GPT 4 Claude etc and traditional ML NLP Deep Learning techniques.
• Proficiency in Python and related ML frameworks eg Tensor Flow PyTorch Hugging Face Lang Chain.
• Strong experience with cloud platforms (preferably Google Cloud Platform but AWS or Azure also considered).
• Demonstrated ability to architect scalable ML systems and integrate AI capabilities into enterprise platforms eg Salesforce
• Excellent analytical, problem-solving, and troubleshooting skills
• Strong collaboration and communication abilities with a track record of leading technical teams

• Hands-on experience with CRM platforms like Salesforce
• Understanding of data privacy, security, and ethical AI practices
• Experience mentoring or training teams in AI ML concepts and implementation
• Strong project management or agile delivery experience