NOTES:

Must be able to convert without sponsorship.
Job Description: The AI Solutions Architect will be responsible for designing and implementing AI-driven solutions that solve business problems.

REQUIREMENTS:

AI Solutions Architect - Role Overview

Key Responsibilities:

• Architectural Mindset & Leadership:
• Seeking a candidate with an architectural mindset who can engage with both technical and business stakeholders.
• The ideal candidate should be able to push back when something doesn’t make sense and offer solutions or alternatives.
• Problem-solving: Identify what data is needed to solve problems and provide data-driven solutions.
• Technical Competence: While not strictly a hands-on technical role, the candidate should have enough knowledge to contribute technically when required. They will guide data teams and data scientists.

Core Skills & Experience:

• Salesforce Data Cloud: Experience with Salesforce Data Cloud is highly desirable, especially for connecting dots within the platform and ensuring proper integration.
• Deep knowledge of data quality is essential, as the data is currently disorganized.
• Experience with AWS/Cloud Technologies: Familiarity with AWS, cloud technologies, and data cloud terminology is important.
• Process Understanding & Documentation: The person should be able to document processes and communicate effectively with stakeholders, particularly for presenting options and decisions.
• Experience working Agile Pods

Role Requirements:

• Salesforce Experience: Strong familiarity with Salesforce products and platforms is necessary.
• Leadership & Communication Skills:
• Confident leadership with the ability to collaborate with senior leadership and present complex ideas clearly.
• Good presentation skills to engage and communicate with senior leadership on AI use cases.
• Collaborative Leadership:
• The person will work with Salesforce admins who will do much of the heavy lifting, but the architect will need to understand processes and offer guidance.
• Needs to approach and lead the solution development process with a clear strategy.

Team & Governance:

• The position involves working with an AI governance committee and collaborating with senior leadership.
• The individual will work across two agile teams to manage and develop solutions.

Work Environment:

Cultural Fit:

• Emotional Intelligence: Candidates must have a high level of emotional intelligence and strong leadership presence to manage stakeholders effectively.

Personality Fit: The team is looking for someone who can engage well with senior leadership and also navigate interpersonal dynamics across different teams.

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
Job Type: Temp-to-hire
Pay: $70.00 - $77.00 per hour
Expected hours: 40 per week

Schedule:

• 8 hour shift

Work Location: Remot

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

Key Responsibilities:

• Architectural Mindset & Leadership:
• Seeking a candidate with an architectural mindset who can engage with both technical and business stakeholders.
• The ideal candidate should be able to push back when something doesn’t make sense and offer solutions or alternatives.
• Problem-solving: Identify what data is needed to solve problems and provide data-driven solutions.
• Technical Competence: While not strictly a hands-on technical role, the candidate should have enough knowledge to contribute technically when required. They will guide data teams and data scientists

Role Requirements:

• Salesforce Experience: Strong familiarity with Salesforce products and platforms is necessary.
• Leadership & Communication Skills:
• Confident leadership with the ability to collaborate with senior leadership and present complex ideas clearly.
• Good presentation skills to engage and communicate with senior leadership on AI use cases.
• Collaborative Leadership:
• The person will work with Salesforce admins who will do much of the heavy lifting, but the architect will need to understand processes and offer guidance.
• Needs to approach and lead the solution development process with a clear strategy