We are seeking a highly motivated AI Solutions Engineer to join Deltek s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications.

The AI Solutions Engineer will collaborate with business stakeholders, AI data scientists, architects, and engineering teams to deliver cutting-edge AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior Director, AI Solutions.

Key Responsibilities

AI & Machine Learning Development

- Design, build, train, evaluate, and deploy machine learning and deep learning models.
- Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral.
- Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks.
- Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions.
- Optimize model performance, scalability, latency, and cost. Software Engineering & Solution Development
- Develop production-grade AI applications using Python and modern software engineering practices.
- Build APIs, microservices,



and AI-powered enterprise applications.
- Integrate AI services with enterprise systems, business applications, and data platforms.
- Apply coding standards, automated testing, CI/CD, and version control best practices. MLOps & AI Operations
- Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management.
- Automate model training, validation, testing, and deployment processes.
- Monitor model performance, data drift, hallucinations, and operational metrics.
- Support continuous improvement and reliability of AI platforms. Cloud & Platform Engineering
- Develop AI solutions on Azure, AWS, or Google Cloud platforms.
- Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies.
- Build scalable architectures supporting enterprise AI workloads and real-time inference. AI Governance & Security
- Ensure compliance with Responsible AI, security, privacy, and regulatory requirements.
- Implement model governance, explainability, bias mitigation, and risk management practices.
- Maintain standards for secure design, deployment, and operation of AI solutions. ","

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr AI Solutions Engineer (Bengaluru)
🏢 Replicon
📍 Bengaluru