> Markdown version of [/jobs/ext/3096660-technical-consultant-ai-integration-agent-automation](https://www.wearedevelopers.com/jobs/ext/3096660-technical-consultant-ai-integration-agent-automation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Consultant - AI Integration & Agent Automation - **Company:** Computer Task Group, Inc - **Location:** United States (Remote available) - **Salary:** $145,600.0 - $187,200.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Cleansing, Performance Tuning, Search Technologies, Systems Integration, Workflow Management Systems, Scripting, Enterprise Software Applications, Large Language Models, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents - **Published:** September 26, 2026 - **Apply:** https://www.dice.com/job-detail/a8a879fa-9d15-4c0b-810e-94440016bee7 ## About the Role * AI agent, assistant, and workflow development using ICA, WXO, watsonx, OpenAI, or similar platforms * RAG, embeddings, semantic search, vector schemas, and managed embedding providers * LLM prompt engineering, few-shot prompting, text cleaning, and guardrails * Data sourcing, ingestion, masking, and transformation * Connector configuration, API integration, workflow automation, and basic scripting * Human-in-the-loop QA, LLMOps, observability, and responsible AI practices Experience: * Hands-on experience building and refining AI agents, assistants, RAG solutions, and automated workflows in enterprise environments. * Experience with ICA or similar agent platforms, including prompt tuning, connector configuration, agent actions, and iterative QA. * Experience integrating AI services with enterprise applications using APIs, connectors, and workflow orchestration. * Experience with data preparation, embeddings, semantic search, vector-based knowledge retrieval, and LLM prompt optimization. * Familiarity with watsonx, OpenAI, WXO, managed embedding services, and responsible AI practices. Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. ## Description * Build, configure, and refine AI agents, assistants, and automated workflows using ICA, WXO, or similar platforms. * Develop agents for use cases such as idea parsing, assumption extraction, partner matching, pilot planning, and analytics summarization. * Create and optimize prompt templates, few-shot examples, guardrails, and RAG workflows. * Prepare RAG context packs and vector schemas using metadata such as topic, source, and timestamp. * Configure connectors and develop basic scripts for agent actions and workflow automation. * Establish processes for data sourcing, ingestion, cleansing, masking, and preparation. * Perform human-in-the-loop QA and tune agents based on pilot feedback. * Maintain agent artifacts, prompt libraries, RAG knowledge slices, QA results, and tuning documentation. * Support API integration, workflow orchestration, observability, performance tuning, and cost optimization. ## Related Videos - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [This App Reached 10,000 Users in One Week. 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