Job at a glance
Description Sr. 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.
• 8+ 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, GCP, Kubernetes, Docker • Observability: Prometheus, Elasticsearch, Kibana • CI/CD: Jenkins, GitLab CI, XL Release Skills Python, Artificial intelligence, Test automation Top Skills Details Python,Artificial intelligence,Test automation Additional Skills & Qualifications excellent communication skills Experience Level Expert Level Job Type & Location This is a Contract position based out of Phoenix, AZ.
Pay and Benefits The pay range for this position is $60.00 - $65.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disab