PRIMARY RESPONSIBILITIES

Architect, design, implement, test and deliver highly scalable Salesforce solutions, using Salesforce s deeply unified platform to meet business requirements and enhance user experiences
Collaborate with stakeholders to identify pain points and opportunities for innovation, with a clear focus on customer impact, trust, and growth
Define and document the overall architecture and technical solution for Agenforce deployments, integrations, and customizations.
Provide expert guidance on Salesforce Agenforce features, capabilities, and best practices.
Stay up-to-date with new releases and enhancements to the Salesforce ecosystem, especially related to Agenforce AI, and incorporate them into solution designs.
Use pre-trained LLMs (e.g., GPT, Llama, Falcon) for Salesforce-specific applications using prompt engineering and reinforcement learning from human feedback (RLHF).
Build and maintain datasets for training, fine-tuning, and evaluation of LLMs for various use cases.
Act as a key liaison between product owners, technical teams, and external partners to ensure clear communication and alignment.
Be a domain expert, while writing code and working closely with other developers, Product Managers, and UX to ensure features are delivered to meet business and quality requirements
Define the system architecture landscape, identify gaps between current and desired end-states, and deliver a comprehensive solution that will enable achievement of the desired business outcomes
Mentor and support junior architects and developers, providing guidance on architectural decisions, development methodolgies, tools and code quality
Leverage agile work management practices, including sprint planning and retrospectives to track critical deliverables. Partner with product owners for backlog grooming and work prioritization
Ability to translate business needs into AI solutions and communicate complex technical ideas to non-technical stakeholders
Establish governance frameworks for the platform, ensuring proper data management, security compliance, and system scalability.
Lead the development of custom Salesforce solutions, including Apex, Visualforce, Lightning components, and other Salesforce technologies, to tailor Agenforce to specific business needs.

PROFESSIONAL EXPERIENCE/SKILLS REQUIRED

Overall 12+ years experience in Software Engineering
8+ years of Experience in Salesforce architecture and platform implementation, using different Salesforce s Customer 360 products
Agentforce implementation is a plus
5+ years of proven experience in ML engineering, building AI systems and/or services
Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) is a plus
Experience with LLMs and prompt engineering
Analytical mindset with experience in using data-driven approach, and know how to measure success with complicated ML/AI products
Experience with Salesforce DevOps, CI/CD processes, and automation tools.
Must be able to guide and work with engineering teams, product management, cross-functional units, and upper-management
Proven leadership in driving cross-functional teams to achieve common goals and business objectives
Proven experience in designing and implementing large-scale Salesforce solutions in complex enterprise environments.
Experience with agile development or scrum project management methodologies and tools
Understanding of software engineering principles, key design patterns and best practices
Strategic thinker that can see the big picture, innovate and adapt to constant change
Ability to work under pressure, highly adaptable, and well organized
Highly effective written and verbal communication skills with audiences across all levels of the organization
Highly organized with the ability to establish and manage priorities in a complex and fast-paced environment
Strong knowledge of data management concepts and architectures
Continuously assess the performance of Salesforce solutions and take proactive measures to optimize system performance, identify bottlenecks, and resolve issues.
Masters / Bachelors degree required in Computer Science, Software Engineering, or Equivalent Experience

Salesforce Certifications (Preferred):

Salesforce Certified Technical Architect
Salesforce Certified Application Architect
Salesforce Certified System Architect
Salesforce Agenforce-specific certifications (if applicable)

Accommodations

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Salesforce Technical AI Architect