Integration Architect

Job Description


Integration Architect with strong AI and Salesforce Experience

Required Certifications/Education:

Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered)


Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera, Udemy, Deeplearning.AI etc.)

Required Skills & Experience:

8-10 years Experience as an Integration Architect.


Required 2+ years of experience designing, developing and deploying GenAI/LLM powered applications/products


Required 1+ years of experience building and integrating Agentic AI systems, including planning, reasoning, and decision-making components.


Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).


Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.


Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.


Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).


Required experience with version control systems (e.g., Git).


Required strong communication and collaborative skills.


Required experience working in an Agile development environment.

Required Platform Experience (One or more of the following):

Required experience with either Agentforce (primarily) or Salesforce Einstein


Required experience integrating AI models with enterprise IT systems.

Preferred Skills & Experience:

Preferred experience with prompt engineering and fine-tuning large language models.


Preferred experience with knowledge graphs and semantic reasoning.


Preferred experience with multi-agent systems and their coordination.


Preferred experience with explainable AI (XAI) techniques.


Preferred experience with MLOps and model deployment pipelines.


Preferred experience with containerization technologies (e.g., Docker, Kubernetes).


Preferred experience with Salesforce development tools (e.g., Force.com IDE, Apex Data Loader, AutoRABIT).


Preferred experience with IVR Technologies (e.g., Avaya, Cisco), Chatbot development, and other conversational AI platforms.


Preferred experience working in an onshore/offshore support model collaborating with offshore teams.


Preferred experience working with GitHub and other collaborative development platforms.