Role overview
**Role: Senior AI Engineer with Gen AI & Agentic AI**
**Location: Remote**
**Duration: Long Term**
**Must have 15+ years of experience**
**Note: Only GC & USC candidates with PP number and copy**
**Overview:**
We are seeking a highly skilled **Senior AI Engineer** to design, develop, and deploy intelligent, scalable, and secure AI solutions. The ideal candidate has a deep understanding of **Generative AI, Agentic AI, and Large Language Models (LLMs)**, along with a proven ability to translate business requirements into advanced AI-driven architectures and applications. You will work closely with cross-functional teams to **design end-to-end AI/ML systems**, leveraging **cloud platforms, modern data stacks, and MLOps frameworks** to deliver measurable business impact.**Key**
**Responsibilities:**
* Architect and implement advanced **AI/ML and Generative AI** solutions aligned with business goals.
* Collaborate with business and technical stakeholders to identify AI opportunities, define requirements, and ensure successful delivery.
* Develop and fine-tune **LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.)** using frameworks like **LangChain, CrewAI, or AutoGen**.
* Build and orchestrate intelligent **multi-agent systems** and workflow automation pipelines.
* Integrate AI solutions within **cloud environments** (AWS, Azure, GCP) and **data ecosystems** (Snowflake, Databricks, Airflow, dbt).
* Apply best practices in **data governance, model performance, scalability, and security.**
* Leverage **Python** and industry-standard AI/ML libraries (e.g., Hugging Face, OpenAI SDKs) for experimentation and deployment.
* Drive continuous improvements through **MLOps**, CI/CD, and monitoring strategies.
* Present technical concepts and business outcomes to executive and client stakeholders.
**Required Skills:**
* **15+ years** of experience in **data analytics and AI solutioning**, with 10**+ years** focused on **Generative AI and Agentic AI**.
* Strong hands-on experience in **AI/ML, NLP, LLMs**, and **AI orchestration tools**.
* Proven success in **client-facing consulting roles**, leading business discovery and solution delivery.
* Expertise in **cloud ecosystems** (AWS, Azure, or GCP) and **modern data stack tools** (Snowflake, Databricks, Airflow, dbt).
* Proficiency in **Python** and libraries like **Hugging Face, LangChain, and OpenAI SDKs**.
* Solid understanding of **solution architecture**, **security**, **integration patterns**, and **scalability best practices**.
* Excellent **communication, presentation, and stakeholder management** skills.
**Preferred Qualifications:**
* Experience with **AI agent frameworks** (CrewAI, AutoGen, LangGraph, LangChain, Strands).
* Familiarity with **MLOps** tools and practices (SageMaker, MLflow, Vertex AI, Azure ML).
* Exposure to **regulated domains** such as **finance, healthcare, or insurance**.
* Certifications in **cloud, AI/ML, or data engineering** (e.g., AWS ML Specialty, Azure AI Engineer).
Job Type: Contract
Pay: $65.00 - $70.00 per hour
Expected hours: 40 per week
Experience:
* AI/ML: 10 years (Required)
* Generative AI: 5 years (Required)
* Agentic AI: 5 years (Required)
* Data analytics: 10 years (Required)
* LLM: 10 years (Required)
* Data Stack: 10 years (Required)
* Cloud platorms: 10 years (Required)
Work Location: Remote