Solution Architect - Artificial Intelligence

We are looking for an experienced AI/ML Solution Architect to design, develop, and implement scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will lead AI strategy, architect enterprise-grade ML systems, guide engineering teams, and drive innovation using modern AI technologies including Generative AI, LLMs, NLP, Computer Vision, and Predictive Analytics.

Responsibilities:

• Design scalable AI/ML system architectures for enterprise applications.
• Define end-to-end AI solution strategy and technical roadmap.
• Select appropriate AI/ML models, frameworks, and cloud technologies.
• Build secure, reliable, and high-performance AI platforms.
• Develop and optimize machine learning models and pipelines.
• Work on NLP, Computer Vision, Recommendation Systems, Predictive Analytics, and Generative AI use cases.
• Design and implement LLM-based applications using OpenAI, Azure AI, Hugging Face, LangChain, etc.
• Fine-tune and deploy AI models for production environments.
• Design data pipelines for training and inference workloads.
• Implement MLOps practices including model monitoring, versioning, CI/CD, and automation.
• Ensure model scalability, performance optimization, and governance.
• Architect AI solutions on AWS, Azure, or Google Cloud platforms.
• Work with Docker, Kubernetes, APIs, and distributed systems.
• Ensure data security, compliance, and scalability standards.

TECHNICAL SKILLS:

• Strong experience in Python, TensorFlow, PyTorch, Scikit-learn.
• Expertise in Machine Learning, Deep Learning, and Generative AI.
• Experience with LLMs, RAG architecture, vector databases, and prompt engineering.
• Knowledge of NLP, Computer Vision, and predictive modeling.
• Experience with cloud platforms: AWS/Azure/GCP.
• Familiarity with MLOps tools and deployment pipelines.
• Experience with REST APIs, microservices, and containerization.
• SQL/NoSQL databases
• Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)
• Git, CI/CD tools
• Docker & Kubernetes

QUALIFICATIONS & SKILLS:

• Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field.
• Relevant AI/ML certifications are a plus.
• Experience working on enterprise AI transformation projects.
• Strong understanding of AI ethics and responsible AI.
• Excellent communication and leadership skills.
• Ability to manage multiple projects and stakeholders.
• Mentor AI/ML engineers and development teams.
• Collaborate with business stakeholders to identify AI opportunities.
• Participate in technical discussions, client meetings, and solution presentations.
• Drive innovation and best practices within the organization.