Gen AI Architect- Pharmaceutical/Life sciences

Title: Salesforce Gen AI Architect

Location: Chicago, IL onsite.

Type: Contract

Expertise in Salesforce technologies such as Salesforce Einstein, Apex, Lightning, and other Salesforce Cloud solutions.

Deep understanding of machine learning, AI algorithms, and data science principles.

Strong experience in cloud platforms (AWS, Azure, Google Cloud) and integration with Salesforce.

Familiarity with AI development tools (TensorFlow, PyTorch, etc.) and data processing frameworks.

Experience with data governance, security, and compliance in AI.

Strong communication skills and the ability to translate complex technical concepts to business audiences.

Lead a team of Salesforce professionals, including administrators, developers, business analysts, and consultants.

Lead the design of Salesforce solutions that are scalable, maintainable, and aligned with business requirements. This includes data model design, security model design, and integration patterns.

Create high-level technical architecture blueprints that integrate with existing systems and ensure the system meets functional and non-functional requirements.

Act as the go-to person for technical decision-making, advising on the best tools, frameworks, and approaches to solve business problems.

Design and architect AI solutions using Salesforce's native tools (like Einstein AI, Salesforce Data Cloud) or third-party AI technologies.

Collaborate with business stakeholders to identify opportunities for AI integration, automation, and optimization.

Create scalable and efficient AI models that improve customer engagement, decision-making, and business processes.

Advise on best practices for incorporating AI capabilities into Salesforce CRM, Sales Cloud, Service Cloud, Marketing Cloud, Health Cloud, and other Salesforce products.

Lead the integration of AI-driven solutions with Salesforce's CRM systems, including customizing Salesforce Einstein and other tools to support specific business needs.

Ensure smooth data flow between Salesforce and AI platforms, managing both structured and unstructured data.

Oversee the development of machine learning models for predictive analytics, natural language processing (NLP), recommendation systems, and automation tools.

Supervise the training and testing of models to ensure accuracy, fairness, and compliance with ethical standards.

Continuously monitor AI models' performance and make necessary adjustments or improvements.

Stay up to date with Salesforce updates, new features, and emerging technologies. Advocate for the adoption of innovative Salesforce solutions that could benefit the organization.

Address and resolve technical issues, system failures, or user challenges promptly.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.