Atika Technologies
Position: Gen AI Solution Architect
Location: Cape Girardeau, MO(Onsite)
Experience: 15+ Years
As an Gen AI Solution Architect, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: - Architect Gen AI solution integration to validate, monitor, and operationalize with existing or 3rd party applications (using LangChain/LangGraph/LangSmith components). Build pipelines to execute multiple concurrent integration of Gen AI solution deployed via API endpoints. Lead teams of aligned AI engineers for solution integration operationalization and execution Support the team in infrastructure and productionization for AI/GenAI integration and operating deployed models on Azure cloud. Communicate functional outlines, timelines, and risk factors in simple but effective terms to leadership. Mentor teammates on their growth path with the view of skillsets needed by the program and contribute to the pipeline of external talent by being active in the community.
Educational Qualifications: - • Bachelor of Engineering in computer science, Information Technology • Technical certification in multiple technologies is desirable.
Key Skills: - Applied experience in cloud development - Azure, AWS, or GCP Cloud. Databricks experience is good to have. Designing and Building Gen AI Applications using RAG, Agents, Agentic AI and Monitoring Tools (Lang Smith) Building multi-step reasoning agents using frameworks like LangChain, Langraph, AutoGen, or CrewAI. Experience with LLMs (e.g., Open AI, GPT, LLaMA, Claude) and fine-tuning techniques. Applied experience with Docker and Containerization. Applied experience working with Vector Databases. Python FAST API framework for solution deployment & SQL skills. Azure app services, Azure MySQL, Azure container service experience Exposure and understanding of Terraform and ARM templates. Applied experience with Git, GitHub, or GitLab and CI/CD
Mandatory skills 13+ years of experience in the AI/ML and MLOps. Proven track record of leading AI/ML projects and teams. Proficient programming skills in Python. Advanced critical thinking and creative problem-solving skills. Excellent communication and writing skills
As an Gen AI Solution Architect, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities: - Architect Gen AI solution integration to validate, monitor, and operationalize with existing or 3rd party applications (using LangChain/LangGraph/LangSmith components). Build pipelines to execute multiple concurrent integration of Gen AI solution deployed via API endpoints. Lead teams of aligned AI engineers for solution integration operationalization and execution Support the team in infrastructure and productionization for AI/GenAI integration and operating deployed models on Azure cloud. Communicate functional outlines, timelines, and risk factors in simple but effective terms to leadership. Mentor teammates on their growth path with the view of skillsets needed by the program and contribute to the pipeline of external talent by being active in the community.
Educational Qualifications: - • Bachelor of Engineering in computer science, Information Technology • Technical certification in multiple technologies is desirable.
Key Skills: - Applied experience in cloud development - Azure, AWS, or GCP Cloud. Databricks experience is good to have. Designing and Building Gen AI Applications using RAG, Agents, Agentic AI and Monitoring Tools (Lang Smith) Building multi-step reasoning agents using frameworks like LangChain, Langraph, AutoGen, or CrewAI. Experience with LLMs (e.g., Open AI, GPT, LLaMA, Claude) and fine-tuning techniques. Applied experience with Docker and Containerization. Applied experience working with Vector Databases. Python FAST API framework for solution deployment & SQL skills. Azure app services, Azure MySQL, Azure container service experience Exposure and understanding of Terraform and ARM templates. Applied experience with Git, GitHub, or GitLab and CI/CD
Mandatory skills 13+ years of experience in the AI/ML and MLOps. Proven track record of leading AI/ML projects and teams. Proficient programming skills in Python. Advanced critical thinking and creative problem-solving skills. Excellent communication and writing skills