AI/ML Architect (GenAI, Python)

Strong AI Architect Profile with end-to-end ML / Deep Learning / GenAI ownershipMandatory (Experience 1) Must have 6+ years of engineering experience, with atleast 3+ years in AI/ML, or Machine Learning Engineering.Mandatory (Experience 2) Must have atleast 3+ years of hands-on experience building and deploying Generative AI solutions, including LLMs, RAG, AI agents, fine-tuning, prompt engineering, and related technologies.Mandatory (Tech skill 1) Must have worked at architecture level (not engineering-only), designing end-to-end, scalable, secure AI systems through deploymentMandatory (Tech skill 1) Must have strong proficiency in Python along with AI or ML libraries such as TensorFlow, PyTorch and Scikit-learn.Mandatory (Tech skill 2) Must have hands-on experience with Machine Learning, Deep Learning and NLP, including model fine-tuning and LLMs.Mandatory (Tech skill 4) Must have experience with MLOps tooling (MLflow, Kubeflow or Azure ML), a cloud platform (Azure, AWS or GCP), and containerization (Docker, Kubernetes).Mandatory (Mentoring) Must have led / mentored AI engineers (architect-level leadership)Mandatory (Communication) Must have strong stakeholder management and requirement-gathering experience with US or UK clients.Mandatory (Company) Must come from a B2B IT services or IT consulting backgroundMandatory (Note 1) CTC is inclusive of 5% variablePreferred Preferred (Data) Data engineering concepts, working with large datasets, APIs & microservicesPreferred (Production) Experience on production-grade AI systems; open-source AI contributionsPreferred (Tools) Exposure to Azure Foundry and Databricks Agent Bricks.Preferred (Certifications) Certifications in AI, ML or cloud platforms.Application Question(s): Which GenAI frameworks have you worked with, and for how long have you been using each If you're not currently based in Chennai, are you willing to relocate Are you comfortable attending a face-to-face interview at the office (Please note that the final interview round is mandatory and will be conducted in person, even for outstation candidates.)Are you available to join immediately or within 15 days If you're currently serving a notice period, what is your last working day (LWD) The budgeted CTC for this role is 1830 LPA. Are you comfortable with this salary range and would you like to proceed with the opportunity Work Location: In person Strong AI Architect Profile with end-to-end ML / Deep Learning / GenAI ownershipMandatory (Experience 1) Must have 6+ years of engineering experience, with atleast 3+ years in AI/ML, or Machine Learning Engineering.Mandatory (Experience 2) Must have atleast 3+ years of hands-on experience building and deploying Generative AI solutions, including LLMs, RAG, AI agents, fine-tuning, prompt engineering, and related technologies.Mandatory (Tech skill 1) Must have worked at architecture level (not engineering-only), designing end-to-end, scalable, secure AI systems through deploymentMandatory (Tech skill 1) Must have strong proficiency in Python along with AI or ML libraries such as TensorFlow, PyTorch and Scikit-learn.Mandatory (Tech skill 2) Must have hands-on experience with Machine Learning, Deep Learning and NLP, including model fine-tuning and LLMs.Mandatory (Tech skill 4) Must have experience with MLOps tooling (MLflow, Kubeflow or Azure ML), a cloud platform (Azure, AWS or GCP), and containerization (Docker, Kubernetes).Mandatory (Mentoring) Must have led / mentored AI engineers (architect-level leadership)Mandatory (Communication) Must have strong stakeholder management and requirement-gathering experience with US or UK clients.Mandatory (Company) Must come from a B2B IT services or IT consulting backgroundMandatory (Note 1) CTC is inclusive of 5% variablePreferred Preferred (Data) Data engineering concepts, working with large datasets, APIs & microservicesPreferred (Production) Experience on production-grade AI systems; open-source AI contributionsPreferred (Tools) Exposure to Azure Foundry and Databricks Agent Bricks.Preferred (Certifications) Certifications in AI, ML or cloud platforms.Application Question(s): Which GenAI frameworks have you worked with, and for how long have you been using each If you're not currently based in Chennai, are you willing to relocate Are you comfortable attending a face-to-face interview at the office (Please note that the final interview round is mandatory and will be conducted in person, even for outstation candidates.)Are you available to join immediately or within 15 days If you're currently serving a notice period, what is your last working day (LWD) The budgeted CTC for this role is 1830 LPA. Are you comfortable with this salary range and would you like to proceed with the opportunity Work Location: In person