Enterprise Solutions Architect

Job Description:

Python - Enterprise Solutions Architect

Role Summary:

We are seeking an experienced Enterprise Architect to lead system design and solution architecture across a diverse set of enterprise AI initiatives. This role is ideal for someone with a strong software engineering background, deep experience in Python, and a solid understanding of enterprise integrations. Familiarity with AI solutioning is a plus, but not required. You will collaborate with cross-functional teams to design scalable, secure, and maintainable systems that support our enterprise AI platform and Services initiatives. The Enterprise Architect plays a key role in translating business needs into AI-based technical solutions that align with strategic goals and enable long-term success across the organization.

Responsibilities:

• Lead end-to-end system design and solution architecture for enterprise-grade applications and platforms, with a focus on scalability, security, and maintainability.

• Drive the development and integration of AI-enabled solutions into existing enterprise platforms, supporting strategic AI platform and services initiatives.

• Collaborate with engineering, product, and business teams to translate requirements into actionable technical solutions.

• Design and implement enterprise integrations using APIs, messaging systems, and data pipelines across complex, heterogeneous environments.

• Evaluate and recommend technologies, frameworks, and tools that align with business goals and technical strategy.

• Ensure solutions comply with security, scalability, reliability, and regulatory standards, including HIPAA and other Healthcare IT requirements.

• Work closely with business stakeholders to understand needs and contribute to the strategic direction of AI and enterprise architecture initiatives.

• Provide technical guidance and mentorship to project teams, fostering innovation, excellence, and continuous improvement.

• Lead proof-of-concept (POC) efforts to validate the feasibility and value of proposed solutions.

• Collaborate with data scientists, engineers, and technical experts to ensure successful execution of projects.

• Develop and maintain comprehensive architecture documentation, including diagrams, specifications, and implementation guidelines.

• Communicate complex technical concepts effectively to both technical and non-technical audiences.

• Stay current with advancements in AI, cloud, and enterprise technologies, proactively identifying opportunities for innovation.

• Partner with US and en

Gen Global leaders to provide project status updates, risk assessments, and strategic recommendations.

Skills:

• Bachelor‘s or master’s degree in computer science, Artificial Intelligence, or a related field.

• 10+ years of experience in software development, solution architecture, or enterprise systems design.

• Strong programming skills in Python, with experience building scalable, production-grade systems.

• Proven experience designing and implementing enterprise integrations

• Hands-on experience with cloud platforms such as AWS, Azure, or GCP — with a strong preference for Google Cloud Platform (GCP) and its AI-related services.

• Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.

• Demonstrated ability to lead technical discussions, influence decision-making, and drive enterprise initiatives to successful outcomes.

• Experience working with cross-functional teams and stakeholders, with a strong ability to collaborate and build consensus.

• Strong analytical and problem-solving skills, with a track record of addressing complex technical challenges.

• Leadership experience, including providing technical guidance and mentorship to engineering and project teams.

Good to have skills:

• Knowledge of healthcare industry standards and regulations (e.g., HIPAA) is required, as well as a strong understanding of the Healthcare IT landscape.

• Experience with MLOps practices and tools, with a focus on automating and streamlining the AI development and deployment lifecycle.

• Preferred experience in designing and implementing scalable and robust AI solutions within the Healthcare IT domain.

• Agile methodology