Senior AI/ML Solutions Architect
Listed on 2026-01-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
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 üçin 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 incyj 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.
Required Qualifications- glut
- 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
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