Integration Architect (AI & Salesforce)

Codetech • Hartford, CT

2d

About The Position

The Integration Architect will design, develop, and deploy AI-powered applications and integrate AI models with enterprise IT systems, with a focus on Salesforce Agentforce or Salesforce Einstein. The role requires expertise in GenAI/LLM applications and Agentic AI systems, including planning, reasoning, and decision-making components. The position also involves applying NLP and reinforcement learning techniques, working with large datasets and cloud platforms, and collaborating within an Agile development environment.

A master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is requested, though equivalent practical experience may be considered. Two to three relevant AI, ML, GenAI, or Agentic AI certifications are recommended. The role calls for 8–10 years of Integration Architect experience, including at least two years working with GenAI/LLM products and one year building and integrating Agentic AI systems.

Requirements

• 8–10 years of experience as an Integration Architect.
• At least 2 years of experience designing, developing, and deploying GenAI/LLM-powered applications or products.
• At least 1 year of experience building and integrating Agentic AI systems, including planning, reasoning, and decision-making components.
• Proficiency in Python and relevant AI/ML libraries, such as TensorFlow, PyTorch, transformers, LangChain, LangGraph, AutoGen, or LlamaIndex.
• Experience with NLP techniques, including text generation, understanding, and summarization.
• Experience with reinforcement learning algorithms and their application to agent training.
• Experience working with large datasets and cloud computing platforms such as AWS, GCP, Azure, IBM, or Salesforce.
• Experience with version control systems such as Git.
• Strong communication and collaboration skills.
• Experience working in an Agile development environment.
• Experience with Agentforce (primarily) or Salesforce Einstein.
• Experience integrating AI models with enterprise IT systems.
• Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field; equivalent practical experience may be considered.

Nice To Haves

• Relevant certifications in AI, ML, GenAI, and Agentic AI; two to three certifications are recommended.
• Experience with prompt engineering and fine-tuning large language models.
• Experience with knowledge graphs and semantic reasoning.
• Experience with multi-agent systems and their coordination.
• Experience with explainable AI (XAI) techniques.
• Experience with MLOps and model deployment pipelines.
• Experience with containerization technologies such as Docker or Kubernetes.
• Experience with Salesforce development tools such as Force.com IDE, Apex Data Loader, or AutoRABIT.
• Experience with IVR technologies such as Avaya or Cisco, chatbot development, and other conversational AI platforms.
• Experience working in an onshore/offshore support model and collaborating with offshore teams.
• Experience with GitHub and other collaborative development platforms.

Responsibilities

• Design, develop, and deploy GenAI/LLM-powered applications or products.
• Build and integrate Agentic AI systems, including planning, reasoning, and decision-making components.
• Integrate AI models with enterprise IT systems, particularly using Agentforce or Salesforce Einstein.
• Apply NLP techniques, including text generation, understanding, and summarization.
• Apply reinforcement learning algorithms to agent training.
• Work with large datasets and cloud computing platforms.
• Collaborate in an Agile development environment and communicate effectively with colleagues.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior