Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechniPros, LLC, is seeking the following. Apply via Dice today! Job Title: Senior AI/ML Engineer Location: Cincinnati, OH, Charlotte, NC, Dallas, TX, Chicago, IL, Atlanta, GA Can do Only W2, No C2C Job Summary: We are seeking a highly experienced Senior AI/ML Engineer to design, develop, deploy, and scale enterprise-grade AI/ML solutions. The ideal candidate will have a strong background in software engineering, data engineering, or solution architecture, along with hands-on expertise in Generative AI, Agentic AI, and cloud-based AI platforms. This role requires experience building production-ready AI applications, backend services, and AI/ML platforms leveraging AWS technologies. Key Responsibilities:

• Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
• Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
• Develop backend APIs and microservices using Python and FastAPI.
• Implement and optimize AI/ML pipelines for model training, deployment, and monitoring.
• Integrate Large Language Models (LLMs) into business applications and workflows.
• Leverage AWS AI services including Bedrock and SageMaker for AI solution development.
• Establish CI/CD pipelines and MLOps best practices for AI/ML deployments.
• Monitor AI systems using observability and performance monitoring tools.
• Collaborate with cross-functional teams including engineering, architecture, data, and business stakeholders.
• Ensure AI solutions meet scalability, security, reliability, and performance requirements.

Required Skills:

• 10+ years of Software Engineering, Data Engineering, or Solution Architecture experience.
• 3+ years of hands-on AI/ML solution development and deployment experience.
• Strong expertise in Python development.
• Experience with FastAPI and backend API development.
• Hands-on experience with Generative AI solutions.
• Strong understanding of Large Language Models (LLMs).
• Experience building Agentic AI solutions and intelligent agents.
• Experience with AWS Bedrock and Amazon SageMaker.
• Strong background in AI/ML Platform Development.
• Experience with API Development and scalable backend services.
• Experience implementing CI/CD Pipelines for AI/ML workloads.
• Experience using GitHub Copilot or similar AI-assisted development tools.
• Hands-on experience with monitoring and observability tools such as:
• Splunk
• Datadog
• Arize
• Galileo
• Similar AI monitoring platforms

Preferred Qualifications:

• Experience designing enterprise-scale AI platforms.
• Knowledge of MLOps and AI governance frameworks.
• Experience with cloud-native architectures and distributed systems.
• Familiarity with model monitoring, drift detection, and AI observability.
• Experience integrating AI solutions into large-scale enterprise environments.
• AWS certifications or AI/ML-related certifications are a plus.

Best Regards: Tanuja P Phone: Email: