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AI Solutions Architect
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).
April 28, 2025
Sr. Software Developer
Description:

We are looking for a Senior Developer with 5-10 years of experience in Microsoft Azure and Confluent Kafka, specializing in .NET and C#. The ideal candidate will design, develop, and maintain backend services, leveraging cloud technologies and following best practices in SAFe Agile and CI/CD.

Key Responsibilities:
- Design, code, test, debug, and document system and application programs.
- Collaborate with the team on technical specifications and code reviews.
- Develop and maintain operational and system-level documentation.
- Implement unit tests to ensure software quality.
- Work within the SAFe Agile framework and CI/CD practices.
- Experience with payment systems or government assistance programs in e-commerce is a plus.
Qualifications:
- 5-10 years of experience with Microsoft Azure services (Function Apps, Cosmos DB, Logic Apps, etc.) and Confluent Kafka.
- Proficiency in .NET and C#
- Experience in backend development, unit testing, and Agile methodologies.
- Exposure to payment methods or government assistance programs is preferred.
April 1, 2025
Project Manager
Remote
Description: This role involves overseeing the implementation of smart infusion pumps within a healthcare organization. The IT Project Manager will combine expertise in clinical workflows and healthcare IT to ensure the successful integration of smart pump technology, enhancing patient safety and operational efficiency. The candidate should have a clinical background and strong project management skills to lead multidisciplinary teams.

Responsibilities/skills:
Project Planning/Execution, Stakeholder Collaboration, Technology Integration, Clinical Workflow Optimization, and Compliance & Quality Assurance

Qualifications:
- Clinical background with experience in healthcare operations.
- Bachelor’s degree in Healthcare Management, Information Technology, or a related field; advanced degrees preferred.
- Minimum of 5–7 years of experience managing healthcare IT projects.
- Familiarity with smart infusion pump technology, clinical hardware, and healthcare regulations.
- Strong leadership, communication, and organizational skills.
March 21, 2025