AI Engineer

• Design end-to-end AI architectures, including data pipelines, model development, deployment, monitoring, and integration into enterprise systems.
• Leverage modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain) and platforms (Databricks, Azure AI, AWS SageMaker, GCP Vertex AI).
• Ensure solutions follow best practices for scalability, reliability, and responsible AI.
• Define standards, reusable components, and accelerators to enable faster AI adoption.
• Partner with client stakeholders to understand business challenges and translate them into AI-driven solutions.
• Provide technical leadership in workshops, assessments, and architecture design sessions.
• Clearly communicate complex AI concepts to various audiences.
• Evangelize responsible AI practices, including governance, bias mitigation, and model transparency.
• Guide and mentor delivery teams (data scientists, ML engineers, software engineers) in building and deploying AI solutions.
• Oversee solution implementation to ensure alignment with architectural principles and business objectives.
• Troubleshoot complex technical issues and provide hands-on problem-solving as needed.
• Collaborate with strategy, data engineering, and product teams to ensure seamless integration of AI solutions.
• Contribute to the growth of Bounteous’ data & AI practice by developing offerings, playbooks, and frameworks.
• Stay ahead of emerging trends in AI/ML (generative AI, LLMs, computer vision, MLOps) and apply them to client use cases.
• Represent Bounteous in industry forums, partner ecosystems, and thought leadership initiatives.

AI Architect

SOAR & AI Lead

AI Architect

Senior ML/AI Architect

Lead AI Engineer

Senior Data/AI Engineer