Participate in defining and evolving the architecture for the system. 

Evaluate and recommend appropriate technologies based on product needs and industry trends. 

Develop creative solutions and write technical design documents.

Provide work estimates for proposed projects. 

Perform hands-on software design and development. 

Look for better processes for projecting and improving project profitability.

Develop and execute unit tests for product components. Establish architectural standards and best practices. 

Work closely with management to determine the feasibility of product features. 

Establish standards, perform peer code reviews and provide feedback. Promote high quality, scalability, and timely completion of projects

To apply, mail resumes to:

Rajashree Narawane

Attn: (Job ID: SSEAN 2025)

Saicon Consultants, Inc.

9300 W 110th Street, Suite 650, Overland Park, KS, 66210

SAMPLE JOB DESCRIPTION

• Design AI-driven strategies: Work with stakeholders to define how Salesforce's AI tools can be used to achieve business goals, such as improving lead conversion rates, automating customer service, and personalizing the customer experience.
• Architect solutions: Design and build scalable solutions that leverage Salesforce AI tools like Einstein Prediction Builder, Next Best Action, and Einstein Bots.
• Integrate AI capabilities: Ensure seamless integration of Salesforce AI with other enterprise systems and third-party applications using APIs and other integration tools. 

• Configure Salesforce AI tools: Set up and customize Einstein features, such as configuring automated workflows, implementing predictive lead scoring, and creating natural language processing (NLP) based chatbots.
• Develop AI models: Build, test, and deploy predictive models using CRM data, leveraging AI techniques for tasks like root cause analysis and anomaly detection.
• Enhance CRM functionality: Build custom applications and automate business processes within Salesforce using Apex, Lightning, and Flow to support AI-driven insights. 

• Ensure data quality: Manage and prepare data for AI models, perform data cleansing, and ensure strong governance for data accuracy and security.
• Monitor and refine AI performance: Continuously monitor and evaluate the effectiveness of AI models and solutions. Adjust algorithms and model parameters to improve accuracy and business impact.
• Provide actionable insights: Create reports and dashboards in tools like Tableau CRM (formerly Einstein Analytics) to visualize data-driven insights for stakeholders and end-users. 

• Serve as a trusted advisor: Act as a subject matter expert for both technical and non-technical stakeholders, translating complex AI concepts and findings into business value.
• Provide training: Educate end-users and junior team members on how to use AI-powered tools effectively and ethically.
• Establish best practices: Develop and document standards for AI development, integration, and deployment to ensure quality and security. 

• Expertise with Salesforce platform administration and development, including Apex, Lightning components, and Flow.
• Hands-on experience with Salesforce Einstein, including Einstein GPT, Einstein Prediction Builder, and Tableau CRM.
• Knowledge of AI/ML concepts, such as natural language processing (NLP), predictive modeling, and prompt engineering.
• Proficiency in data analysis, data modeling, and data preparation for AI.
• Experience with integrations using APIs and tools like MuleSoft. 

• Experience: Typically requires 3+ years of hands-on project experience with the Salesforce platform.
• Certifications: Relevant certifications from Salesforce, such as Salesforce Certified AI Associate or Einstein Analytics and Discovery Consultant. 

• Communication: Strong verbal and written communication skills to explain complex technical topics to business users.
• Problem-solving: Exceptional analytical and problem-solving abilities to design solutions that meet business requirements.
• Collaboration: The ability to work effectively with cross-functional teams, including sales, marketing, and IT.
• Business acumen: An understanding of business processes to align AI initiatives with strategic goals.