AI Integration Architect
AI Integration Architect
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Job Description
Job Title: AI Integration Architect
Location: Hartford CT
Job Description
Integration Architect with strong AI and Salesforce Experience
Required Certifications/Education:
Masters 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 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. 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.
Employment Type
Full-time
