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The Senior AI Solution Architect will architect and deploy GenAI applications using Azure, AWS, or GCP, leveraging advanced technologies to build intelligent systems. The role requires 6-8 years of hands-on AI/ML experience, with a focus on generative AI and LLM integration. Candidates should possess strong skills in Python, NLP, and ML frameworks, along with a bachelor's degree in Computer Science or Engineering. The position offers opportunities for mentorship and collaboration in a dynamic environment.
Job Responsibility:
Architect and deploy GenAI applications using Azure, AWS, or GCP
Leverage cutting-edge LLMs, Microsoft Semantic Kernel, and AutoGen to build intelligent single-agent and multi-agent systems for real-world business impact
Collaborate with product, business, engineering, and data teams to solve enterprise challenges with scalable AI
Lead technical execution, mentor engineering talent, and champion best practices in MLOps, CI/CD, and cloud AI
Rapidly prototype solutions—think conversational orchestration, multimodal agents, RAG, and deep learning
Deliver production-grade, compliant AI models using tools like AI Foundry and advanced frameworks
Own documentation, process improvement, and innovation across the AI product lifecycle
Requirements:
6–8 years in hands-on AI/ML
3+ years in generative AI and LLM integration (OpenAI, HuggingFace, Anthropic)
Deep Python, NLP, and ML framework experience (TensorFlow, PyTorch, LangChain)
Proven cloud deployment (Azure/AWS/GCP)
Strong ML system architecture skills
Experience designing and orchestrating agentic AI (single/multi-agent) workflows
Practical knowledge of AutoGen and Semantic Kernel
Familiarity with Microsoft AI Foundry for model governance and lifecycle management
Advanced problem-solving, communication, and collaboration skills
Bachelor's degree in Computer Science or Engineering
Nice to have:
Prior team leadership or mentoring in product-driven AI environments
Experience with GPU/CUDA optimization and scalable deep learning
Passion for ethical AI, compliance, and industry best practices
Thought leadership—team mentoring, patents, publications, or conference presentations a plus