AI Engineer

Position: - AI Engineer

Location: - Hybrid in Desert Ridge, Phoenix, AZ

Type: - Contract

*Candidates must be willing to interview in-person in PHX

Job Description

Data Analytics Solutions – Emerging Technologies team is looking for a Senior Engineer – Artificial Intelligence to help design and build impactful, intelligent, and secure AI solutions for Information Security & Governance and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Agentic AI, Generative AI, and AI system development—someone who can translate business needs into scalable, production-ready AI applications and contribute to solutions that drive meaningful outcomes.

Key Responsibilities

•       Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks.

•       Translate business, Information Security, Governance, and Technology Risk requirements into scalable AI applications.

•       Develop, test, and improve models for NLP, classification, clustering, anomaly detection, and predictive analytics.

•       Support model lifecycle activities including experimentation, evaluation, versioning, deployment, monitoring, and documentation.

•       Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, Kubernetes, and related tools.

•       Collaborate with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, and responsible AI solutions.

•       Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, MLOps, and responsible AI.

Minimum Qualifications

·        Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related field.

·        7+ years of experience designing and implementing large scale engineering solutions and AI/ML systems.

·        Hands-on experience developing AI/ML, GenAI, or data-driven applications.

·        Strong Python programming skills and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, or similar tools.

·        Working knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI application development.

·        Experinec with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar tools.

·        Exposure to APIs, cloud platforms, Docker, Kubernetes, vector databases, and software engineering best practices.

·        Ability to understand business needs, solve technical problems, and collaborate effectively across teams.

·        Exposure to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi.

Hands-on experience or working knowledge of the following tools, frameworks, and technologies:

·        Languages: Python

·        Frameworks & Libraries: Flask, FastAPI, TensorFlow, PyTorch, scikit-learn

·        AI & GenAI: LangChain, Hugging Face, AutoGen

·        MLOps & Orchestration: Kubeflow, Argo Workflows, MLflow, Triton Inference Server

·        Data Platforms: Kafka, Spark, NiFi, SQL/NoSQL, pgVector, Milvus

·        Cloud & Containers: AWS, Azure, Google Cloud Platform, Kubernetes, Docker

·        Observability: Prometheus, Elasticsearch, Kibana

·        CI/CD: Jenkins, GitLab CI, XL Release

Thanks
Sudheera
Sr. Talent Acquisition
Select Jarvis LLC
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