AI Solutions Architect Job Description

This role is fully remote. As an AI Solutions Architect, you will lead the design and implementation of AI-driven solutions that enhance products, optimize operations, and enable data-driven decision-making. Collaborating with product managers, architects, and development teams, you will translate business needs into scalable, compliant AI architectures aligned with enterprise goals.

Key Responsibilities

AI Strategy & Business Alignment

• Partner with Product and Operations teams to identify AI opportunities and align AI initiatives with business objectives.

• Establish AI governance frameworks ensuring compliance with regulations (e.g., HIPAA, SOC 2) and promote ethical AI practices.

• Develop and maintain the AI strategy and roadmap.

AI/ML Solution Architecture & Implementation

• Design AI/ML solutions for predictive analytics, NLP, and automation, integrating them with existing data pipelines and applications.

• Develop AI Agents and GenAI solutions using tools like Langchain, Hugging Face, and Python libraries, focusing on reducing hallucinations.

• Ensure AI models are scalable, maintainable, and monitored for performance.

Cloud & Data Architecture

• Utilize Google Cloud Platform services such as Vertex AI, BigQuery ML, and Dataflow to build scalable AI workflows.

• Collaborate with data engineering to optimize data pipelines and feature engineering for improved model performance.

Leadership & Enablement

• Translate AI concepts into business value for stakeholders and foster AI literacy across teams.

• Work with security teams to ensure AI solutions comply with data privacy and regulatory standards.

• Lead and support cross-functional agile teams in AI adoption and innovation.

Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.

• Strong experience with AI/ML frameworks (TensorFlow, PyTorch), GenAI tools (Langchain, Hugging Face), and Python programming.

• Hands-on expertise with Google Cloud AI services (Vertex AI, BigQuery, Dataflow); familiarity with Azure AI is a plus.

• Knowledge of data security, privacy laws (HIPAA, SOC 2), and ethical AI principles.

• Excellent communication and leadership skills with the ability to align AI initiatives to business goals.

• Experience working in agile, cross-functional teams.

Preferred Qualifications

• Healthcare industry experience and understanding of relevant compliance requirements.

• Relevant cloud and AI certifications (e.g., GCP Professional Data Engineer).