Salesforce AI Automation Engineer

Work Schedule

Second Shift (Afternoons)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

Role Responsibilities :

• Assist in developing and implementing AI/ML models for business use cases within the Salesforce ecosystem

• Work with datasets to perform data cleaning, preprocessing, and basic feature engineering within the CRM Data store

• Support / Maintain integration of AI solutions with Salesforce platforms using APIs and built-in tools

• Contribute to building intelligent workflows within Salesforce (Einstein, Flows, basic automation)

• Collaborate with senior engineers and cross-functional teams to deliver end-to-end solutions

• Participate in testing, debugging, and improving AI-driven applications

• Document solutions, experiments, and learnings clearly

• Open mindset towards learning and adapting to new skills within CRM ecosystem such as – Salesforce.com, Oracle CPQ etc.
   

Candidate Requirement:

• Education : BS degree in Computer Science Engineering, Information Systems, Data Science, AI/ML, or related field.(Batch of 2026 Only)

  

Preferred Skills:

Understanding of AI Concepts such as RAG, MCP, APIs, JSON, and system integration basics.

Experience working with SQL and handling real datasets
Exposure / Understanding of Salesforce.com platform.

Good to Have (Not Mandatory)

• Any exposure to Salesforce, low-code/no-code platforms, or automation tools

• Academic projects or internships involving AI/ML or data analysis

• Exposure to cloud platforms (AWS/GCP/Azure) or SaaS platforms

• Basic understanding of CRM concepts or business workflows

Learning & Growth Expectations (Key Filter)

• Strong interest in learning the Salesforce ecosystem (Sales Cloud, Service Cloud, Einstein AI)

• Willingness to pick up platform-specific development skills (Apex, Lightning Web Components)

• Ability to quickly learn new tools, frameworks, and business domains

• Interest in applying AI to real-world enterprise problems (customer data, workflows, automation)