Senior AI Engineer (AI Solutions & Validation Frameworks)

Job Title: Senior AI Engineer – AI Solutions & Validation Frameworks

Experience: 8+ years

Domain: AI / Generative AI / Enterprise Solutions

Role Overview

We are looking for an AI Engineer with 8+ years of professional experience in designing, developing, validating, and implementing AI solutions for enterprise use cases.

The candidate will work directly with clients and internal stakeholders to understand business requirements, translate them into technical solutions, define solution validation approaches, and drive implementation.

An important aspect of this role will be to help design and establish a standardized, reusable AI validation framework that can be applied across different AI solutions and projects within the organization. This includes defining evaluation methodologies, validation criteria, performance metrics, testing processes, and quality benchmarks to ensure the reliability, accuracy, and effectiveness of AI solutions.

The ideal candidate should combine hands-on AI engineering capabilities with strong communication, problem-solving, and stakeholder management skills.

Required Skills & Qualifications

6+ years of professional experience in AI/ML engineering, Generative AI development, or implementation of AI-driven or analytical solutions.

Demonstrated experience designing, developing, and implementing AI solutions in real-world business or enterprise environments.

Strong understanding of Generative AI concepts, LLMs, prompt engineering, and RAG architectures.

Hands-on experience with Python and relevant AI/ML frameworks and libraries.

Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.

Understanding of AI evaluation methodologies, testing approaches, model performance metrics, and validation techniques.

Experience working with APIs, databases, structured and unstructured data, and enterprise application integrations.

Ability to translate business requirements into technical solution designs and implementation plans.

Strong communication skills and the ability to interact directly with clients and business stakeholders.

Ability to work independently, manage multiple priorities, and collaborate with cross-functional teams.

Preferred Qualifications

Experience developing reusable AI evaluation or validation frameworks.

Familiarity with LLM evaluation tools and frameworks such as RAGAS, DeepEval, TruLens, LangSmith, or equivalent.

Experience with automated testing, CI/CD integration, and monitoring of AI applications.

Knowledge of AI guardrails, hallucination detection, responsible AI, and output quality assessment.

Experience implementing enterprise GenAI solutions across multiple business functions.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.