GenAI Solution Architect

We are seeking a GenAI Senior Solution Architect to lead the design, development, and deployment of Generative AI-powered applications. This role will focus on architecting scalable AI solutions for cloud-based and hybrid environments, defining AI adoption strategies and best practices, and collaborating with cross-functional teams to drive AI-driven digital transformation. You will play a pivotal role in integrating cutting-edge AI models into enterprise and government systems, ensuring seamless integration into enterprise systems.

This role requires expertise in AI architecture, model hosting, MLOps, and full-stack AI application development, with a focus on security, scalability, and performance.

Roles And Responsibilities:

• Architect and implement Generative AI (GenAI) applications cross functionally and across industries such as government, banking, real estate, and telecommunications.
• Define AI adoption strategies and design scalable AI architectures for both cloud-based and hybrid environments.
• Develop AI-driven automation solutions leveraging CoPilot Studio, Power Automate, and other orchestration tools.
• Build and optimize GenAI frameworks using Retrieval-Augmented Generation (RAG), prompt engineering, and LLM integration.
• Deploy offline and cloud-based LLMs using Nvidia Triton, HuggingFace TGI, vLLM, LiteLLM, and other inference layers.
• Lead full-stack AI application development, ensuring high availability, scalability, and security.
• Collaborate with stakeholders to translate business requirements into AI-enabled solutions.
• Implement MLOps best practices, ensuring efficient model training, deployment, and monitoring.
• Manage CI/CD pipelines, containerization (Docker), and DevOps for AI applications.
• Ensure compliance with AI governance, privacy, and security standards in AI Implementations.
• Provide mentorship and technical leadership to AI engineering teams.

Required Competencies:

• Ability to lead cross-country/regional engineering teams.
• Strong business acumen, with the ability to translate business needs into scalable and cost effective AI-enables solutions.
• Experience in AI solution lifecycle management from ideation assessment to production deployment.
• Experience in mitigating AI risks following AI governance, ethics, security and compliance standards.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Required Skills:

• AI expertise: Building RAG models, OpenAI agents, Prompt Engineering, Copilot Studio, Python FastAPI Apps, LangChain, CrewAI
• Proven track record of deploying AI solutions at an enterprise level.
• Ability to build applications and expertise in different technology stacks.
• Expertise in Python, FastAPI, Langchain, Langfuse, LlamaIndex.
• Strong experience with AI model hosting, fine-tuning, and API integration.
• Hands-on experience with Cloud Platforms (Azure, AWS, GCP) for AI/ML workloads.
• Proficiency in MLOps, AI Infrastructure Engineering, and Data Engineering.
• Experience in containerization, CI/CD pipelines, and DevOps practices.
• Deep knowledge in LLM architecture, RAG, and inference optimization.
• Knowledge of data privacy, security and ethical AI governance frameworks.
• Understanding of AI governance frameworks and best practices for ethical AI.
• Experience with full-stack development for AI applications if preferable.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Experience working with government entities and large enterprises is a plus.