Role: Solution Architect
Location: Remote
Visa: H1b and H4
?Description:
Credera is seeking a Solution Architect for client engagements. Desire a strong background in AI or data science responsible for designing and implementing AI-driven solutions that enhance business capabilities and optimize processes.
Responsibilities Include:
- Solution Architecture: Develop and document architecture designs for AI solutions that align with business objectives and technical requirements.
- Technical Leadership: Act as a technical lead during the project lifecycle, providing expertise and guidance to development teams.
- Collaboration: Work with business stakeholders to gather requirements and translate them into technical specifications for AI solutions.
- Technology Evaluation: Research and recommend AI technologies, platforms, and tools that best fit the organization’s needs.
- Implementation Oversight: Oversee the implementation of AI solutions, ensuring compliance with architectural standards and best practices.
- Performance Analysis: Monitor the performance of AI systems and make recommendations for improvements and optimizations.
- Documentation: Create and maintain comprehensive documentation, including architecture diagrams, specifications, and operational procedures.
- Stakeholder Engagement: Communicate effectively with stakeholders at all levels, presenting technical concepts in a clear and understandable manner.
Requirements:
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Experience: Minimum of 5 years of experience in solution architecture with a focus on AI and machine learning projects.
- Technical Skills: Proficiency in AI frameworks and tools (e.g., TensorFlow, PyTorch, openAI), cloud platforms (e.g., AWS, Azure, GCP), and programming languages (e.g., Python, Java).
- Architecture Frameworks: Familiarity with any architecture frameworks.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical audiences.
- Certifications: Relevant certifications (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect) are a plus.
Preferred Skills:
- Experience with data engineering and data management.
- Knowledge of natural language processing (NLP) and computer vision technologies.
- Familiarity with Agile methodologies and DevOps practices
- Healthcare or Insurance Industry experience preferred but not required