About the Job:
We’re seeking an AI/ML Architect to design and implement advanced AI, Machine Learning, and Generative AI solutions. You’ll collaborate with senior executives to translate strategy into scalable roadmaps, lead end-to-end solution design, and drive innovation to support digital transformation goals.
Key Responsibilities:
- Translate client vision into AI/ML/GenAI strategies and roadmaps.
- Lead workshops, educate stakeholders, and present designs to CxOs.
- Act as a trusted advisor and build strong executive relationships.
- Collaborate with sales, delivery teams, and vendors on proposals.
- Lead AI/ML/GenAI use cases, guiding design and technology selection.
- Architect scalable, high-performance, and cost-optimized solutions.
- Apply expertise in LLMs, RAG, GANs, and vector databases.
- Design and deploy models for fraud detection, risk scoring, and analytics.
- Prepare proposals, RFI
- /RFP responses, and solution documentation.
- Anticipate and address business and technical challenges.
- Negotiate with vendors to deliver cost-effective solutions.
- Stay updated on technology trends and vendor roadmaps.
- Evaluate and adopt emerging technologies through PoCs.
Job Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 7+ years of experience in pre-sales, architecture, or solution delivery in Data & AI, with enterprise exposure.
- Strong background in customer-facing solution design, data science, and AI/ML architecture.
- Hands-on with TensorFlow, PyTorch, and Hugging Face; expertise in ML, NLP, and agentic AI systems.
- Skilled in LLM design, deployment, and optimization, as well as MLOps and CI/CD for AI workloads.
- Solid knowledge of Kubernetes, serverless computing, GPU infrastructure, and hybrid data centers.
