Integration Architect

Codetech • Hartford, CT

11h

About The Position

The Integration Architect will design, develop, and deploy AI-powered applications and integrate AI models with enterprise IT systems. The role requires extensive integration architecture experience, including work with GenAI/LLM applications and Agentic AI systems that incorporate planning, reasoning, and decision-making. The position also involves working with large datasets and cloud computing platforms, using AI/ML tools and libraries, and contributing in an Agile development environment. Salesforce Agentforce experience is primarily sought; Salesforce Einstein experience is also accepted.

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.
• 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 either 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.
• Relevant AI, ML, GenAI, and Agentic AI certifications; 2–3 certifications are recommended.

Nice To Haves

• 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.
• Work with large datasets and cloud computing platforms.
• Collaborate in an Agile development environment.

What This Job Offers

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