Lead AI Architect
First seen by Alion on Sep 11, 2026.
Job Description :
- Lead the technical solutioning process for all AI-related projects, ensuring alignment with business objectives, architectural standards, and the overall AI/ML strategy.
- Define and maintain the architectural vision and roadmap for AI solutions, incorporating best practices, emerging technologies, and the evolving needs of the Healthcare IT domain.
- Design end-to-end AI solutions, including data ingestion, processing, model development, deployment, and monitoring, with a focus on scalability, reliability, and security.
- Work closely with business stakeholders to understand requirements and translate them into technical specifications, while also contributing to the overall strategic direction of AI initiatives.
- Collaborate with data scientists, engineers, and other technical experts to ensure successful project execution, providing technical guidance and mentorship throughout the development lifecycle.
- Develop and maintain comprehensive documentation of AI solutions, including architecture diagrams, design specifications, and implementation guidelines, to facilitate knowledge sharing and collaboration.
- Evaluate and recommend AI technologies, platforms, and tools to support the organization's AI initiatives, with a focus on leveraging Google Cloud Platform (GCP) services where appropriate.
- Provide technical guidance and mentorship to project teams, fostering a culture of innovation, excellence, and continuous improvement.
- Lead proof-of-concept (POC) projects to validate the feasibility and value of proposed AI solutions, ensuring that they align with the organization's strategic goals.
- Ensure that AI solutions are scalable, secure, and compliant with relevant regulations and standards, including HIPAA and other Healthcare IT requirements.
- Stay abreast of the latest trends and advancements in AI and related fields, and proactively identify opportunities for innovation and competitive advantage.
- Work with US team and leaders to provide project status, risk assessment, and strategic recommendations, ensuring that stakeholders are informed and aligned on project goals and timelines.
- Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering collaboration and alignment across the organization.
AI Engineer - L2 & L3 Responsibilities :
- Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
- Write clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
- Troubleshoot and debug AI/ML models and applications.
- Stay up to date with the latest advancements in AI/ML.
- Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
- Develop and deploy AI solutions on Google Cloud Platform (GCP). Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
- Utilize Vertex AI for model training, deployment, and management.
- Integrate and leverage Google Gemini for specific AI functionalities.
Requirements :
- Degree in Artificial Intelligence, or a related field.
- 5+ years of experience in developing and implementing AI/ML models.
- Strong programming skills in Python.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Good understanding of machine learning concepts and techniques.
- Ability to work independently and as part of a team. Strong problem-solving skills.
- Good communication skills.
- Experience with Google Cloud Platform (GCP) is preferred.
- Familiarity with Vertex AI is a plus.
Skills
Artificial Intelligence, Python, Google Cloud Platform, Tensorflow, PyTorch, Vertex AI, HIPAA, Scikit-Learn, Pandas, Numpy, Machine Learning