AI Solutions Engineer

AI Solutions Engineer

Job ID: 11295BR Location: India-Bangalore (Remote) Work Setup: Remote Job Category: Engineering Posting Date: October 15, 2026

Job Description

Why Deltek

About the Role

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 AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect.

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.

• Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.

Experience

• 5+ years of software engineering or machine learning development experience.

• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments.

• Technical Skills

• Programming & Engineering

• Strong expertise in Python.

• Experience with Java, ReactJS, JavaScript, or similar programming languages.

• Solid understanding of algorithms, data structures, APIs, and software design principles.

• Artificial Intelligence & Machine Learning

• Machine Learning and Deep Learning concepts and frameworks.

• Model training, evaluation, optimization, and deployment.

• Generative AI

• Large Language Models (LLMs) & SLMs

• Prompt Engineering

• Retrieval-Augmented Generation (RAG)

• AI Agents and Agentic Workflows

• Fine-tuning and model customization

• Vector embeddings and semantic search

• Frameworks & Tools

• PyTorch, TensorFlow, Scikit-learn

• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers

• FastAPI, Flask

• Data & Analytics

• SQL and NoSQL databases

• Data pipelines, ETL, and data modeling

• Experience with AWS, Azure and Google

• MLOps & DevOps

• MLflow, Kubeflow, Azure ML, SageMaker

• Docker and Kubernetes

• Git, GitHub, Azure DevOps, Jenkins

• CI/CD automation and model monitoring

• Cloud Platforms

• AWS (preferred)

• AWS Bedrock or Azure OpenAI Service

• AWS SageMaker

• Google Vertex AI

• Preferred Qualifications

• Experience designing enterprise-scale AI platforms and products.

• Knowledge of multi-agent architectures and autonomous AI systems.

• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.

• Understanding of AI governance, compliance, and Responsible AI frameworks.

• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

• Why Deltek

• Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you to administer and evaluate your application. We are the controller of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this

• Candidate Privacy Notice

• Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

• Important: Protect Yourself from Recruitment Scams

• We will never ask you to pay money at any point in the hiring process. If you receive a suspicious offer claiming to be from Deltek, do not share personal or financial information. Report any suspicious communication to Secure @deltek.com and consider reporting it to law enforcement.

• Why Join TeamDeltek

• The work we do is important. The way we do it is just as important. Our values guide the decisions we make, how we work together, and how we help our customers succeed. That’s what makes Deltek more than a place to work — it’s a place where you can grow, make an impact, and help others do the same.

• Our employees dedicate their time and resources to many worthy causes, including Blood Cancer United and Save the Children, that foster health and well-being across the globe. Deltek also empowers employees to dedicate work hours to causes they are passionate about through our Volunteer Time Off program.

• All employees across the globe have access to programs and tools like LinkedIn Learning, professional speaking and defined development paths to truly own their careers.

• We are building a learning community where employees can work with diverse individuals, explore new ways of thinking, and expand their capabilities through our programs.

• We embrace and celebrate all of our differences—including ages, cultures, ethnicities, gender identities, sexual orientations, religious beliefs, disabilities and veteran status, as well as the life experiences and ideas of our employees—through our work and employee resource groups.

• Not finding the right job yet? Join our Talent Network and get alerts for jobs that match your interests.

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