Position Overview:

We're seeking a senior AI systems architect with full-stack engineering expertise to lead the development and deployment of advanced AI/ML solutions across diverse enterprise environments. This role will drive end-to-end AI system design, from foundational model integration to production deployment, working alongside application architects, data scientists, and domain specialists.

As the technical lead for enterprise AI initiatives, you will architect scalable AI pipelines and intelligent agents using the latest in generative AI, multimodal learning, and MLOps. Your work will directly impact critical industry workflows and unlock transformative value for clients.

Key Responsibilities:

• Architect Scalable AI Solutions: Design and implement robust AI pipelines that support full lifecycle model management—from training to monitoring—in production settings.
• Develop Intelligent Agents & Custom Models: Build and fine-tune language, vision, and multimodal models tailored to unique industry use cases.
• Collaborate Across Disciplines: Partner closely with engineering, product, and data science teams to bring AI-driven features and platforms to life.
• Mentor and Inspire: Provide technical guidance and leadership to a growing team of AI engineers and practitioners.

Success Criteria:

• Deployment of impactful, enterprise-grade AI systems into production
• Delivery of intelligent agents and models aligned to key business processes
• Fostering a strong engineering culture of innovation and learning in AI

Qualifications:

• Expertise in advanced machine learning, deep learning, and neural network architectures
• Experience with MLOps platforms and model lifecycle management
• Familiarity with public cloud ecosystems (AWS, GCP, Azure) and scalable AI infrastructure
• Hands-on experience with foundation models, LLM customization, and tools like LangChain or related frameworks
• Background in optimization, forecasting, and simulation techniques
• Proficiency in Python, PyTorch and/or TensorFlow, and containerization tools (Docker, Kubernetes)