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.
Technical Skills: Python Architect, Django, Flask, Cloud (GCP)
Experience : 9-15 years
Work Location: Chennai / Hyderabad
Work Model : Hybrid
Shift Time: 3PM to 12 midnight (open to morning shift for the right candidate)
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 enGen 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.
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