What are the responsibilities and job description for the AI SOLUTIONS ARCHITECT position at Sibitalent Corp?

Role – AI SOLUTIONS ARCHITECT

Location – Lincoln, RI(Hybrid)

Duration – Long term contract(W2 Contract)

Interview - WebEx / Video Interview

End Client - Amica Insurance

Position Summary

The AI Solutions Engineer will be responsible for designing and implementing AI-driven solutions that solve business problems.

Responsibilities

Work closely with business stakeholders to understand their problems and propose AI solutions, including Generative AI, that deliver business value
Design and implement scalable, secure, and high-performing AI solutions that align with organizational goals and business needs
Identify and manage technical risks and issues, implementing mitigation strategies as needed
Ensure that AI solution meet quality standards, relevant regulations, ethical, and security standards, particularly concerning data privacy and responsible AI use
Communicate AI solutions and their benefits to stakeholders, providing regular updates on progress and performance
Collaborate with data scientists and data engineers to design, develop and maintain scalable data pipelines for AI solutions
Provide technical guidance to development teams throughout the project lifecycle
Analyze business requirements and assess build versus buy opportunities based on existing technology resources
Ensure the AI tech stack is extensible and expandable as new requirements are identified
Define and implement standards and guidelines for AI solution design, architecture, and development
Create comprehensive documentation, including architecture diagrams, technical specifications, and user guides. Ensure all stakeholders are informed about the capabilities and limitations of the AI solutions
Assist in developing methods to measure and report on AI performance and reliability.
Establish the short-term and long-term direction of AI technology, aimed at keeping the organization on the forefront of change.
Attend training, conferences, and industry seminars as appropriate, to stay abreast of AI technologies, trends and directions. Identify opportunities for continuous innovation and Improvement using AI

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or comparable experience with deep understanding of the insurance industry

3 years of proven experience as an AI Solutions Engineer or similar role, with a strong portfolio of successful AI projects. Displays self-motivation and self-direction.

Proficiency in AI / ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, Google Cloud).

Strong analytical and problem-solving skills, with the ability to think critically and creatively

Able to take control of difficult situations; Perseveres even during resistance or setbacks, and remain focused on achieving successful outcomes.

Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences

Experience working in Agile delivery environments, using frameworks like Scrum and Kanban

Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously while maintaining a high standard of work

Desired Qualifications :

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or comparable experience with deep understanding of the insurance industry

3 years of proven experience as an AI Solutions Engineer or similar role, with a strong portfolio of successful AI projects. Displays self-motivation and self-direction.

Proficiency in AI / ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, Google Cloud).

Strong analytical and problem-solving skills, with the ability to think critically and creatively

Able to take control of difficult situations; Perseveres even during resistance or setbacks and remain focused on achieving successful outcomes.

Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences

Experience working in Agile delivery environments, using frameworks like Scrum and Kanban

Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously while maintaining a high standard of work

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