Salesforce Technical Architect 

India, Karnataka, Bengaluru 

980249461

Pre-Sales and RFPs:

• Engage with clients to identify their AI and Salesforce needs and align business objectives with Salesforce Einstein AI capabilities.

• Lead technical discussions during pre-sales engagements, showcasing Salesforce Einstein AI expertise, its benefits, and strategic value.

• Develop and deliver presentations, demos, and proofs of concept on Einstein AI capabilities that resonate with client-specific challenges.

• Contribute to the creation of RFP responses, providing in-depth technical solutions, architecture design, and implementation strategies to win new projects.

Estimations and Proposals:

• Analyze project requirements and client needs to provide accurate effort estimations and timelines for AI-driven Salesforce implementations.

• Develop comprehensive technical proposals and solution blueprints, aligning with client expectations, budget constraints, and business requirements.

• Collaborate with the sales team to deliver competitive proposals that ensure technical feasibility while meeting business goals and maximizing Salesforce’s AI potential.

Training and Knowledge Sharing:

• Lead the development and delivery of training programs on Salesforce Einstein AI features for internal teams, clients, and stakeholders to enhance AI adoption.

• Create and maintain a comprehensive knowledge base of best practices, AI implementation methodologies, and technical documentation for ongoing reference and learning.

• Mentor and guide technical teams, providing them with the necessary tools and insights to effectively utilize Salesforce Einstein in client projects.

4. Discovery and Design:

• Lead discovery sessions with clients to gather business requirements and design AI-driven Salesforce solutions that align with organizational goals.

• Architect scalable, robust AI solutions using Salesforce Einstein AI features such as Einstein Prediction Builder, Einstein Vision, and Einstein Discovery.

• Ensure that technical solutions are not only effective but also meet the client’s business objectives and are scalable for future needs.

. Project Ownership and Execution:

• Take ownership of the end-to-end technical delivery of AI projects, ensuring that Salesforce Einstein AI features are successfully implemented.

• Oversee the technical team, guiding them throughout the project lifecycle, ensuring the delivery of high-quality AI solutions on time and within budget.

• Monitor project progress, proactively address technical challenges, and ensure timely resolution of any issues to deliver optimal outcomes for clients.

Collaboration with Other Business Units:

• Collaborate with other business units, including project management, development, and support teams, to ensure seamless execution of AI projects.

• Foster strong relationships with cross-functional teams to streamline project workflows, encourage teamwork, and drive success across the organization.

. Continuous Improvement:

• Stay updated with the latest advancements in Salesforce Einstein AI, machine learning, and relevant technologies to ensure solutions remain cutting-edge.

• Contribute to the development of best practices and AI solution methodologies within the organization to maintain a competitive edge in AI implementations.

• Identify opportunities for process improvements and AI innovation, driving advancements in how AI is integrated into Salesforce environments.

Key Qualifications:

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

• 10+ years of experience in the IT Industry with at least 6 plus years relevant experience in Data Science or AI related technologies.

• Strong pre-sales experience, including technical presentations, RFP responses, and solution design, with a focus on AI-driven Salesforce project

• Ability to lead the design and architecture of scalable AI solutions tailored to business needs and future growth.

• Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.

• Experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.

• Demonstrated experience in crafting prompts for generative AI, with a portfolio of examples ranging from simple to complex scenarios

• Ability to translate technical AI concepts into practical applications for non-technical teams.

• Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)

• Strong foundation in AI/ML algorithms, with experience in generative AI techniques such as Large Language Models (LLMs)

• Good understanding of data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements

• Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.

• Extensive experience providing accurate estimations, creating detailed technical proposals, and aligning project outcomes with business objectives.

• Strong communication skills with the ability to effectively communicate AI/ML solutions to both technical and non-technical stakeholders.

• Proven experience in managing the technical delivery of AI projects, with a focus on Salesforce Einstein, ensuring projects are delivered on time and meet high-quality standards.

• Experience leading cross-functional teams, providing training, and sharing knowledge on best practices and AI methodologies

• Architect certifications from recognized university

• Experience in a Generative AI environment, focusing on application development in Gen AI.

• Experience in data preprocessing and feature engineering for AI model training.

• Understanding of neural network architectures and optimization techniques for generative models.

• Familiarity with deploying AI models into production, with a readiness to learn and adapt.

• Commitment to staying updated with the latest generative AI research and techniques.

• Prior experience in industries like financial services, retail, or healthcare with a focus on AI-driven customer insights and optimization.

Preferred Skills :

• Proven expertise in Salesforce Einstein AI (Einstein Prediction Builder, Einstein Discovery, Einstein Vision, and CRM - A , Einstein Chatbot, Einstein Copilot , Einstein Studio , Sales and Service Einstein Features ) and its applications within Salesforce.

• Hands-on experience with Apex,LWC for building custom AI solutions within Salesforce.

• Experience in Python , TensorFlow, or PyTorch for developing ML models

• Experience in Data Cloud or Snowflake or any other DataLake Solutions which can be integrated with Salesforce.

• Experience with integration tools for connecting AI models to Salesforce.

• NLP, image recognition, and predictive analytics experience within Salesforce ecosystems.

• Experience with database technologies like Oracle, SQL, PostgreSQL, or BigQuery is a plus.

• Exposure to front-end design or UI development for integrating AI features is a plus.

• Working knowledge of cloud platforms (AWS, Azure, GCP) with an interest in cloud-based AI solutions is a plus.

• Salesforce Certifications - AI Associate and Architect Certifications.