AI Integration Architect

Codetech • Hartford, CT

2d

About The Position

The AI Integration Architect will design, develop, and deploy AI-enabled applications and integrate AI models with enterprise IT systems, with a focus on Agentforce or Salesforce Einstein. The role requires substantial integration architecture experience and hands-on expertise with generative AI, large language models, and agentic AI systems, including their planning, reasoning, and decision-making components.

The position involves working with Python and AI/ML libraries, natural language processing, reinforcement learning, large datasets, cloud platforms, and version control systems in an Agile development environment. Relevant education or equivalent practical experience and recommended certifications in AI, machine learning, generative AI, or agentic AI are also described.

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 natural language processing 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.
• The posting recommends at least 2–3 relevant certifications in AI, ML, GenAI, or agentic AI.

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 NLP techniques, including text generation, understanding, and summarization.
• Apply reinforcement learning algorithms to agent training.
• Collaborate in an Agile development environment.

What This Job Offers

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