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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Solutions Architect - **Company:** ANEKA TALENT SOLUTIONS CORP - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing, Software Deployment, Software Engineering, Large Language Models, Prompt Engineering, IT Architecture, Deep Learning, Generative AI, AI Platforms, Virtual Agents - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/4151edd9-2ce2-4a29-8d8a-e3b6e06f9f08 ## About the Role 8+ Years Visa , and EAD Interview Process 1-2 rounds Communication Excellent Communication Skills - MUST HAVE Background Data Science / Machine Learning - MUST HAVE, * MUST HAVE DATA SCIENCE/ML BACKGROUND * 8+ years of experience in Software Engineering, Machine Learning, AI, or Solution Architecture roles. * Strong technical background in Machine Learning, NLP, Computer Vision, or related AI disciplines. * Hands-on experience architecting Generative AI solutions in enterprise environments. * Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures. * Experience with Agentic AI frameworks and autonomous workflow orchestration. * Deep understanding of Large Language Models (LLMs) and prompt engineering methodologies. * Experience working within an AI Center of Excellence (CoE) or similar innovation-focused organization. * Proven track record of building successful AI POCs and advancing them to funded initiatives and production implementations. * Excellent communication, presentation, and stakeholder management skills. Technical Requirements Experience with several of the following technologies: * Large Language Models (OpenAI, Claude, Gemini, Llama, etc.) * RAG Architecture * Agentic AI Frameworks * Vector Databases: * Pinecone * Weaviate * Chroma * FAISS Google Vertex AI, * Experience leading enterprise AI transformation initiatives. * Experience evaluating and selecting GenAI technologies for large organizations. * Background working across multiple AI domains including NLP, Computer Vision, and Predictive Analytics. * Experience estimating ROI and business value for AI investments. * Experience presenting AI strategy and architecture recommendations to executive leadership. ## Description We are seeking a highly technical GenAI Solutions Architect to join a growing AI Center of Excellence (CoE) focused on delivering enterprise-scale Generative AI solutions. This individual will be responsible for designing, prototyping, and evangelizing innovative AI architectures that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and advanced machine learning technologies. The ideal candidate has a strong foundation in Machine Learning, Natural Language Processing (NLP), and/or Computer Vision, and has evolved into a solution architecture role where they work directly with business stakeholders to identify opportunities, build proof-of-concepts (POCs), secure funding, and transition successful solutions to engineering teams for production deployment. Responsibilities * Design and architect enterprise Generative AI solutions leveraging LLMs, RAG frameworks, and Agentic AI architectures. * Partner with business leaders and technical stakeholders to identify high-value AI use cases and translate requirements into scalable solution designs. * Build and demonstrate AI proof-of-concepts (POCs), MVPs, and prototypes to validate business value and technical feasibility. * Lead solutioning efforts within an AI Center of Excellence (CoE) environment, evaluating emerging technologies and recommending best-fit architectures. * Define end-to-end AI architecture including model selection, orchestration, vector databases, prompt engineering strategies, and deployment patterns. * Work closely with engineering teams to transition approved solutions into production environments. * Create technical presentations, architecture diagrams, and executive-level communications for both technical and non-technical audiences. * Evaluate and recommend AI platforms, frameworks, and tooling based on business objectives and technical requirements. * Stay current on emerging trends within Generative AI, Agentic AI, multimodal AI, and machine learning ecosystems. ## Related Videos - [Enter the Brave New World of GenAI with Vector Search](https://www.wearedevelopers.com/videos/844-enter-the-brave-new-world-of-genai-with-vector-search) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [Got AI ideas but no money? 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