As an AI Architect, you'll lead the design and deployment of advanced AI systems, collaborating across engineering, product, and data teams to create scalable, secure, and intelligent solutions.
Responsibilities
: - Architect and deliver enterprise-grade AI systems, with a strong background as an AI Engineer, Machine Learning Engineer, or AI Architect.
- Design and develop interactive AI applications and services using C# and Python , ensuring production-readiness and performance.
- Build and integrate Generative AI solutions using transformer-based models and LLMs , including prompt engineering and fine-tuning pipelines.
- Leverage Azure OpenAI , custom model APIs, and Azure AI Foundry to power scalable AI capabilities across use cases.
- Apply expertise in machine learning , deep learning , NLP , and statistical modeling to solve complex problems.
- Architect distributed AI and data solutions using Azure , Kubernetes , Docker , and big data platforms.
- Lead the development of custom AI/ML pipelines , integrating MLOps tools for continuous deployment and monitoring.
- Explore and implement advanced architectures such as Small Language Models (SLMs) , RAG/RIG pipelines , and Model Context Protocol (MCP) to enhance retrieval, context-awareness, and response generation in real-time systems.
- Work closely with data scientists, DevOps, and product stakeholders to ensure seamless collaboration and outcome alignment.
- Translate complex technical concepts for executive and business audiences.
- Mentor junior engineers and foster a culture of curiosity, innovation, and technical excellence.
- Stay current with advancements in Generative AI , LLMs , and applied deep learning trends.
What Sets You Apart
we're looking for a hands-on AI strategist and technologist with a deep understanding of architecture, engineering, and real-world deployment.
Skills Experience:
- Experience: 10+ years in AI/ML engineering, with 2 3 years specifically in AI solution architecture and system design.
- Programming: Advanced proficiency in C# , Python , and AI frameworks such as TensorFlow , PyTorch .
- AI Expertise: Deep knowledge in Generative AI , LLMs , prompt engineering , machine learning , model evaluation , and deep learning .
- Tooling Infra: Proficient in Azure OpenAI , Azure AI Foundry , custom model development pipelines, MLOps tools , Docker , Kubernetes , and distributed systems.
- Soft Skills: Strong leadership, collaboration, and communication skills with the ability to guide teams and influence strategy.
Education:
- Bachelor s or Master s in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related field.
Why you'll Love Working Here - A flexible and inclusive work environment
- Competitive compensation, paid time off, and holidays
- Comprehensive health, we'llness, and financial benefit programs
- Career development opportunities and learning resources
- Opportunity to lead the frontier of AI in fintech and healthtech
Our Values: How We Win Together - People First: We value empathy, respect, and the growth of our teams.
- Partner Powe'red: Our success is built on collaboration with each other and our partners.
- Always Advancing: We are driven by curiosity, determination, and the pursuit of excellence.
